[ { "id": "3d-slicer", "path": "skills/3d-slicer", "category": "medical", "name": "3d-slicer", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize 3D Slicer, MRML scene graphs, VTK/ITK pipelines, DICOM databases, and Segment Editor workflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "3d-slicer", "mrml-scene", "dicom-processing", "vtk-itk", "segment-editor", "medical-imaging", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "abbreviated-git-status", "path": "skills/abbreviated-git-status", "category": "efficiency", "name": "abbreviated-git-status", "description": "How autonomous coding agents use short-format and porcelain git status flags to eliminate 85% of shell output token overhead while preserving exact branch and staging state.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "git", "git-status", "porcelain", "token-optimization", "cli-automation", "agentic-coding" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ableton-live", "path": "skills/ableton-live", "category": "music", "name": "ableton-live", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Ableton Live 12, Python MIDI Remote Scripts, Max for Live (M4L), AbletonOSC, and Ableton Link.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ableton-live", "midi-remote-scripts", "max-for-live", "abletonosc", "ableton-link", "audio-dsp", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "act-as-a-personal-tutor", "path": "skills/act-as-a-personal-tutor", "category": "common-sense", "name": "act-as-a-personal-tutor", "description": "Transform any AI assistant into an interactive, step-by-step personal tutor that assesses prior knowledge, explains concepts in bite-sized chunks, and quizzes comprehension before advancing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "learning", "socratic-method", "tutoring", "education", "prompt-engineering", "active-recall" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "add-your-own-human-voice", "path": "skills/add-your-own-human-voice", "category": "common-sense", "name": "add-your-own-human-voice", "description": "Techniques and prompt frameworks to eliminate robotic AI clichés, infuse authentic personal voice, and blend human perspective with AI synthesis.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "writing", "human-voice", "tone-matching", "authenticity", "anti-ai-cliches", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "adobe-after-effects", "path": "skills/adobe-after-effects", "category": "video-editing", "name": "adobe-after-effects", "description": "Operational skill for Claude to automate After Effects via ExtendScript, expressions, render queue, compositions, and essential graphics pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "after-effects", "extendscript", "expressions", "render-queue", "mograph", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "adobe-photoshop", "path": "skills/adobe-photoshop", "category": "design", "name": "adobe-photoshop", "description": "Operational skill for Claude to automate Photoshop via ExtendScript/UXP, Actions, batch processors, Smart Objects, and generative workflow hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "photoshop", "extendscript", "uxp", "actions", "batch", "smart-objects", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "adobe-premiere-pro", "path": "skills/adobe-premiere-pro", "category": "video-editing", "name": "adobe-premiere-pro", "description": "Operational skill for Claude to automate Premiere Pro via ExtendScript/UXP, sequence ops, markers, EDL/XML interchange, and Media Encoder queue patterns.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "premiere-pro", "extendscript", "uxp", "nle", "ame", "edl", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "agentic-token-efficiency-master-rule", "path": "skills/agentic-token-efficiency-master-rule", "category": "efficiency", "name": "agentic-token-efficiency-master-rule", "description": "The definitive operational architecture governing zero-waste token utilization, surgical context management, and latency minimization for autonomous AI coding agents.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "token-efficiency", "agent-architecture", "context-hygiene", "benchmarks", "system-prompts", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "airflow", "path": "skills/airflow", "category": "devops", "name": "airflow", "description": "Operational skill for Apache Airflow: DAGs, operators, sensors, scheduling, retries, and production task hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "airflow", "orchestration", "dags", "etl", "scheduling", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "altium-designer", "path": "skills/altium-designer", "category": "eda", "name": "altium-designer", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Altium Designer, DXP scripting engine, DRC rules, OutJob CAM generation, and high-speed PCB routing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "altium-designer", "pcb-design", "ecad", "dxp-scripting", "drc-rules", "gerber-outjob", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "always-verify-numbers-and-links", "path": "skills/always-verify-numbers-and-links", "category": "common-sense", "name": "always-verify-numbers-and-links", "description": "Why LLMs hallucinate statistics, phone numbers, and URLs, and how to enforce grounding, external verification, and tool-assisted calculations.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "fact-checking", "hallucination-prevention", "verification", "urls", "math-grounding", "safety" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "android-studio", "path": "skills/android-studio", "category": "development", "name": "android-studio", "description": "Operational skill for Android Studio: Gradle projects, emulators, Logcat, build variants, signing configs, and AGP troubleshooting.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "android-studio", "android", "gradle", "emulator", "kotlin", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ansi-strip-logger", "path": "skills/ansi-strip-logger", "category": "efficiency", "name": "ansi-strip-logger", "description": "How to strip terminal ANSI escape codes, cursor controls, and color bytes before context injection, eliminating 65% of test runner token bloat.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ansi-strip", "terminal-logs", "regex", "token-optimization", "pytest", "jest", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ansible", "path": "skills/ansible", "category": "devops", "name": "ansible", "description": "Operational skill for Ansible playbooks, inventories, roles, idempotent modules, check mode, and ansible-vault secret handling.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ansible", "playbooks", "roles", "automation", "vault", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "anthropic-api", "path": "skills/anthropic-api", "category": "development", "name": "anthropic-api", "description": "Operational skill for the Anthropic API: Messages, system prompts, tool use, streaming, and production Claude client hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "anthropic", "claude", "api", "llm", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "appcleaner", "path": "skills/appcleaner", "category": "macos", "name": "appcleaner", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize AppCleaner, macOS bundle identifier scanning, ~/Library artifact purging, and SmartDelete daemons.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "appcleaner", "macos", "bundle-identifier", "tcc-permissions", "library-cleanup", "smartdelete", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "arcgis-pro", "path": "skills/arcgis-pro", "category": "gis", "name": "arcgis-pro", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Esri ArcGIS Pro, ArcPy Python 3 API, Enterprise Geodatabases (SDE), and Spatial Analyst workflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "arcgis-pro", "arcpy", "gis-mapping", "spatial-analyst", "geodatabase", "geoprocessing", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "argocd", "path": "skills/argocd", "category": "devops", "name": "argocd", "description": "Operational skill for agents to implement GitOps with Argo CD - Applications, sync policies, AppProjects, health checks, and safe rollback.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "argocd", "gitops", "kubernetes", "cd", "sync", "helm" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "artifact-reuse-pattern", "path": "skills/artifact-reuse-pattern", "category": "efficiency", "name": "artifact-reuse-pattern", "description": "How autonomous agents maintain single living state documents (implementation plans, walkthroughs) through in-place mutations rather than generating duplicate ephemeral files.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "artifacts", "state-management", "mutation", "implementation-plan", "walkthrough", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "asana", "path": "skills/asana", "category": "productivity", "name": "asana", "description": "Operational skill for Asana: projects, tasks, sections, custom fields, rules, and API automation without notification spam.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "asana", "tasks", "projects", "workflows", "productivity", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-ai-confidence-rating", "path": "skills/ask-ai-confidence-rating", "category": "common-sense", "name": "ask-ai-confidence-rating", "description": "Prompt patterns to extract calibrated confidence scores, identify hidden assumptions, and flag low-certainty claims before making critical decisions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "confidence-rating", "epistemic-calibration", "risk-assessment", "uncertainty", "fact-checking", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-ai-to-audit-itself", "path": "skills/ask-ai-to-audit-itself", "category": "common-sense", "name": "ask-ai-to-audit-itself", "description": "Leverage the Reflexion and Critic-Actor prompting patterns to force LLMs to self-correct logic errors, overlooked edge cases, and factual slips before final delivery.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "self-audit", "reflexion", "critic-actor", "verification", "code-review", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-ai-to-check-its-math", "path": "skills/ask-ai-to-check-its-math", "category": "common-sense", "name": "ask-ai-to-check-its-math", "description": "Techniques to eliminate arithmetic hallucinations by enforcing Chain-of-Thought scratchpads, explicit order-of-operations steps, and programmatic Python execution.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "math", "chain-of-thought", "python-execution", "program-aided-language", "fact-checking", "calculations" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-ai-to-repeat-understanding", "path": "skills/ask-ai-to-repeat-understanding", "category": "common-sense", "name": "ask-ai-to-repeat-understanding", "description": "How to use the Intent Echo & Alignment pattern to prevent wasted tokens, hallucinated scopes, and misaligned deliverables on complex tasks.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "alignment", "intent-paraphrasing", "planning", "scope-management", "clarity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-ai-to-show-its-reasoning", "path": "skills/ask-ai-to-show-its-reasoning", "category": "common-sense", "name": "ask-ai-to-show-its-reasoning", "description": "Prompt patterns to extract transparent, first-principles logic, trade-off comparisons, and elimination criteria behind any AI recommendation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "reasoning", "chain-of-thought", "decision-making", "trade-offs", "first-principles", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-for-alternative-viewpoints", "path": "skills/ask-for-alternative-viewpoints", "category": "common-sense", "name": "ask-for-alternative-viewpoints", "description": "Techniques to eliminate echo-chamber bias and user sycophancy by forcing AI to steel-man opposing viewpoints, stress-test premises, and simulate adversarial stakeholders.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "critical-thinking", "alternative-viewpoints", "steel-manning", "red-teaming", "bias-prevention", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-for-tables-over-paragraphs", "path": "skills/ask-for-tables-over-paragraphs", "category": "common-sense", "name": "ask-for-tables-over-paragraphs", "description": "How to enforce structured Markdown tables to cut token consumption by 50%, eliminate narrative fluff, and produce instantly scannable, copy-pasteable data.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "data-formatting", "markdown-tables", "information-density", "efficiency", "scannability", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-for-three-options", "path": "skills/ask-for-three-options", "category": "common-sense", "name": "ask-for-three-options", "description": "How to use the Triad of Options framework (Conservative, Balanced, and Bold) to prevent local optima, avoid analysis paralysis, and make calibrated decisions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "decision-frameworks", "options-triad", "brainstorming", "risk-calibration", "strategy", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-how-to-improve-prompt", "path": "skills/ask-how-to-improve-prompt", "category": "common-sense", "name": "ask-how-to-improve-prompt", "description": "Turn the AI into an expert Prompt Engineer to critique your instructions, fill missing context gaps, and generate reusable high-performance prompt templates.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "meta-prompting", "prompt-engineering", "prompt-optimization", "learning", "templates", "efficiency" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-one-best-answer", "path": "skills/ask-one-best-answer", "category": "common-sense", "name": "ask-one-best-answer", "description": "How forcing AI to deliver the single highest-leverage recommendation prevents shallow list dilution and delivers high-conviction, actionable solutions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "pareto-principle", "one-best-answer", "decision-making", "focus", "high-leverage", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-short-answer-first", "path": "skills/ask-short-answer-first", "category": "common-sense", "name": "ask-short-answer-first", "description": "Master the Bottom Line Up Front (BLUF) prompting pattern to get the direct 2-line answer immediately, eliminating preamble fluff and saving reading time.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "bluf", "bottom-line-up-front", "conciseness", "token-efficiency", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-what-changed-only", "path": "skills/ask-what-changed-only", "category": "common-sense", "name": "ask-what-changed-only", "description": "How to use diff-focused prompting to receive only the modified lines and sentences, cutting output token costs by up to 90% and making reviews instant.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "diff-prompting", "delta-updates", "token-savings", "code-editing", "copywriting", "efficiency" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ask-what-info-is-missing", "path": "skills/ask-what-info-is-missing", "category": "common-sense", "name": "ask-what-info-is-missing", "description": "How to use Context Gap Discovery and the Interview-Me pattern to stop AI from hallucinating missing variables and uncover blind spots.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "context-discovery", "gap-analysis", "interview-pattern", "blind-spots", "clarification", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ast-refactoring-scripts", "path": "skills/ast-refactoring-scripts", "category": "efficiency", "name": "ast-refactoring-scripts", "description": "How autonomous agents generate and execute local Abstract Syntax Tree (AST) scripts (libcst, ts-morph, jscodeshift) for batch codebase migrations, eliminating 99% of token costs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ast", "libcst", "ts-morph", "jscodeshift", "batch-refactoring", "token-optimization", "code-generation" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ast-skeletonizer", "path": "skills/ast-skeletonizer", "category": "efficiency", "name": "ast-skeletonizer", "description": "How to extract high-density structural code skeletons (types, interfaces, class definitions, and function signatures) while stripping implementations to reduce context token consumption by 85%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ast", "tree-sitter", "skeletonizer", "rag", "code-indexing", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "atomic-code-edits", "path": "skills/atomic-code-edits", "category": "efficiency", "name": "atomic-code-edits", "description": "How autonomous coding agents use atomic chunk replacement tools (replace_file_content) instead of full-file overwrites to eliminate token bloat, latency, and accidental code truncation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "atomic-edits", "replace-file-content", "diff-patching", "token-optimization", "code-integrity", "agentic-coding" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "autohotkey-v2", "path": "skills/autohotkey-v2", "category": "windows", "name": "autohotkey-v2", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize AutoHotkey v2 (AHK v2), Win32 API DllCall, UIPI / UIAccess, Window management, and Ahk2Exe compilation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "autohotkey-v2", "ahk-v2", "win32-api-dllcall", "uipi-uiaccess", "window-management", "ahk2exe", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "autopsy", "path": "skills/autopsy", "category": "digital-forensics", "name": "autopsy", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Autopsy Digital Forensics, The Sleuth Kit (TSK), Ingest Module pipelines, and Apache Solr search indexing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "autopsy", "the-sleuth-kit", "digital-forensics", "incident-response", "e01-image", "solr-indexing", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "avoid-duplicate-system-messages", "path": "skills/avoid-duplicate-system-messages", "category": "efficiency", "name": "avoid-duplicate-system-messages", "description": "How to consolidate fragmented system instructions into a single static cacheable header, maximizing Anthropic and OpenAI prompt cache hit rates and cutting input token costs by 90%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "system-prompts", "prompt-caching", "deduplication", "prefix-caching", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "avoid-rephrasing-good-text", "path": "skills/avoid-rephrasing-good-text", "category": "common-sense", "name": "avoid-rephrasing-good-text", "description": "How to perform surgical edits on awkward sentences without destroying your authentic voice, personal humor, or working copy.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "surgical-editing", "copywriting", "authenticity", "spot-fixing", "voice-preservation", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "aws-cli", "path": "skills/aws-cli", "category": "devops", "name": "aws-cli", "description": "Operational skill for AWS CLI v2: profiles and SSO, IAM least privilege, S3, EC2, Lambda, CloudWatch Logs, and safe account/region confirmation before mutations.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "aws", "aws-cli", "iam", "s3", "cloudwatch", "lambda", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "azure-cli", "path": "skills/azure-cli", "category": "devops", "name": "azure-cli", "description": "Operational skill for agents to manage Microsoft Azure via az CLI - subscriptions, resource groups, AKS, App Service, Key Vault, and RBAC hygiene.", "risk": "safe", "source": "self", 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"source": "self", "date_added": "2026-08-26", "tags": [ "json-repair", "json-parsing", "error-recovery", "token-optimization", "agent-runtime", "dirtyjson" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "compressed-system-prompts", "path": "skills/compressed-system-prompts", "category": "efficiency", "name": "compressed-system-prompts", "description": "How to refactor wordy, repetitive system prompts into high-density imperative token structures, cutting baseline system prompt costs by 70% while improving instruction adherence.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "system-prompts", "prompt-minification", "token-compression", "information-density", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "comsol", "path": "skills/comsol", "category": "scientific", "name": "comsol", 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"cryengine", "cpp-game-engine", "svogi", "schematyc", "cryentity", "cryphysics", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "csv-over-json-tables", "path": "skills/csv-over-json-tables", "category": "efficiency", "name": "csv-over-json-tables", "description": "Why transmitting tabular datasets as CSV/TSV instead of verbose JSON object arrays eliminates repetitive key names, slashing payload token consumption by 70%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "csv", "tsv", "json-compression", "tabular-data", "data-extraction", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "cubase", "path": "skills/cubase", "category": "music", "name": "cubase", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Steinberg 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and doctor appointment preparation while strictly avoiding self-diagnosis traps.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "medical-literacy", "health-safety", "lab-results", "doctor-prep", "safety-guidelines", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "double-check-ai-math-manually", "path": "skills/double-check-ai-math-manually", "category": "common-sense", "name": "double-check-ai-math-manually", "description": "How to use the 3-Tier Math Verification Ladder to protect invoices, cap tables, tax calculations, and loan estimates from silent AI arithmetic errors.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "math-verification", "financial-safety", "invoicing", "spreadsheets", "deterministic-computing", "calculations" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false 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operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Microsoft Dynamics NAV, Business Central, AL/CAL codeunits, OData V4, and NAV Server administration.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "dynamics-nav", "business-central", "al-language", "cal-scripting", "erp-posting", "nav-server", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "early-exit-evaluation", "path": "skills/early-exit-evaluation", "category": "efficiency", "name": "early-exit-evaluation", "description": "How autonomous debugging agents terminate exploratory searches immediately upon locating the first conclusive root-cause bug, cutting troubleshooting tokens by 60%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "early-exit", "short-circuit", "debugging", "root-cause", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", 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"self", "date_added": "2026-08-26", "tags": [ "elasticsearch", "elastic", "search", "ilm", "opensearch", "indexing" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "encase", "path": "skills/encase", "category": "digital-forensics", "name": "encase", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize OpenText EnCase Forensic, EnScript automation, E01/Ex01 evidence files, and EnCase Evidence Processor (EEP).", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "encase", "enscript", "digital-forensics", "e01-format", "ex01", "incident-response", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "everything", "path": "skills/everything", "category": "windows", "name": "everything", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Voidtools Everything 1.4/1.5a, NTFS USN Change Journal, Everything64.dll C-SDK, es.exe CLI, and IPC automation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "everything", "voidtools", "ntfs-usn-journal", "mft-indexing", "everything-sdk-dll", "es-cli", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "exit-code-fast-checking", "path": "skills/exit-code-fast-checking", "category": "efficiency", "name": "exit-code-fast-checking", "description": "How to evaluate CLI command success directly via process exit codes ($? == 0), suppressing thousands of lines of successful build/compilation stdout logs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "exit-codes", "returncode", "cli-execution", "stdout-suppression", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "express", "path": "skills/express", "category": "development", "name": "express", "description": "Operational skill for Express.js: routers, middleware order, error handlers, async wrappers, validation, and production app structure.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "express", "nodejs", "middleware", "http", "api", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "fastapi", "path": "skills/fastapi", "category": "development", "name": "fastapi", "description": "Operational skill for FastAPI: Pydantic models, dependency injection, async routes, OpenAPI, authentication hooks, and TestClient-based testing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "fastapi", "python", "pydantic", "openapi", "api", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ffmpeg", "path": "skills/ffmpeg", "category": "cross-platform", "name": "ffmpeg", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize FFmpeg transcoding pipelines, hardware acceleration (NVENC/QSV/VideoToolbox), and complex filtergraphs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ffmpeg", "video-transcoding", "hls-streaming", "nvenc", "ffprobe", "filtergraph", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "figma", "path": "skills/figma", "category": "design", "name": "figma", "description": "Operational skill for Claude to automate Figma via Plugin API, REST API, variables, components, and design-token export pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "figma", "plugin-api", "rest-api", "design-tokens", "variables", "components", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "fill-in-missing-assumptions", "path": "skills/fill-in-missing-assumptions", "category": "common-sense", "name": "fill-in-missing-assumptions", "description": "How to use Assumption Surfacing and Sensitivity Analysis to uncover silent presuppositions, prevent architectural failure, and stress-test recommendations.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "assumptions", "risk-management", "sensitivity-analysis", "architecture", "decision-making", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "final-cut-pro", "path": "skills/final-cut-pro", "category": "video-editing", "name": "final-cut-pro", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Apple Final Cut Pro, FCPXML v1.11/v1.12 schemas, Apple Silicon Media Engine, Motion Templates, and Compressor.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "final-cut-pro", "fcpxml-v11", "apple-silicon-media-engine", "prores-raw", "magnetic-timeline", "compressor-cli", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "firebase", "path": "skills/firebase", "category": "development", "name": "firebase", "description": "Operational skill for Firebase: Auth, Firestore/RTDB rules, Cloud Functions, FCM, Emulator Suite, and client SDK security boundaries.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "firebase", "firestore", "auth", "cloud-functions", "fcm", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "fl-studio", "path": "skills/fl-studio", "category": "music", "name": "fl-studio", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize FL Studio, Python MIDI Scripting API, Headless CLI Rendering, Patcher, and Mixer gain staging.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "fl-studio", "fl-midi-scripting", "fl-python", "flp-projects", "headless-rendering", "beat-making", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "flag-missing-facts-first", "path": "skills/flag-missing-facts-first", "category": "common-sense", "name": "flag-missing-facts-first", "description": "How to command AI to conduct a Pre-Flight Information Audit and request missing data before attempting to solve complex problems.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "fact-checking", "information-readiness", "clarification", "pre-flight-check", "debugging", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "flag-speculative-statements", "path": "skills/flag-speculative-statements", "category": "common-sense", "name": "flag-speculative-statements", "description": "How to use Epistemic Tagging ([FACT], [HEURISTIC], [SPECULATION]) to force AI to visibly separate verified truths from estimates and predictions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "epistemic-tagging", "fact-checking", "speculation", "verification", "critical-thinking", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "flask", "path": "skills/flask", "category": "development", "name": "flask", "description": "Operational skill for Flask: app factories, blueprints, request context, Jinja/JSON APIs, extensions, and pytest testing patterns.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "flask", "python", "blueprints", "wsgi", "api", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "flow-launcher", "path": "skills/flow-launcher", "category": "windows", "name": "flow-launcher", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Flow Launcher, C# / Python JSON-RPC plugins, plugin.json manifests, and Everything search integration.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "flow-launcher", "python-jsonrpc-plugin", "csharp-plugins", "everything-search", "hotkey-launcher", "windows-11", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "flutter", "path": "skills/flutter", "category": "development", "name": "flutter", "description": "Operational skill for Flutter: widgets, state management choices, async UI, platform channels awareness, and release build hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "flutter", "dart", "widgets", "mobile", "cross-platform", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "fluxcd", "path": "skills/fluxcd", "category": "devops", "name": "fluxcd", "description": "Operational skill for agents to run GitOps with Flux CD - GitRepository, Kustomization, HelmRelease, image automation, and reconciliation debugging.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "flux", "fluxcd", "gitops", "kubernetes", "helmrelease", "kustomization" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "format-data-to-copy-paste-tables", "path": "skills/format-data-to-copy-paste-tables", "category": "common-sense", "name": "format-data-to-copy-paste-tables", "description": "How to use AI as an instant ETL engine to parse messy raw text, emails, and receipts into clean, spreadsheet-ready TSV/CSV tables.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "data-formatting", "etl", "spreadsheets", "csv", "tsv", "data-cleaning", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ftk", "path": "skills/ftk", "category": "digital-forensics", "name": "ftk", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Exterro FTK (Forensic Toolkit), Distributed Processing Engine (DPE), FTK Imager CLI, and KFF hash filtering.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ftk", "ftk-imager", "forensic-toolkit", "dpe", "kff-filter", "digital-forensics", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "fusion-360", "path": "skills/fusion-360", "category": "cad", "name": "fusion-360", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Autodesk Fusion (Fusion 360), Python API (adsk.fusion), Parametric Timeline, and CAM toolpaths.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "fusion-360", "autodesk-fusion", "adsk-python", "parametric-cad", "cam-toolpaths", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "gcloud-cli", "path": "skills/gcloud-cli", "category": "devops", "name": "gcloud-cli", "description": "Operational skill for agents to manage Google Cloud via gcloud - projects, IAM, GKE, Cloud Run, GCS, and safe deploy hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "gcloud", "gcp", "google-cloud", "iam", "gke", "cloud-run", "cli" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "generate-social-media-captions", "path": "skills/generate-social-media-captions", "category": "common-sense", "name": "generate-social-media-captions", "description": "How to prompt for high-engagement, platform-native social media copy across LinkedIn, X/Twitter, and Instagram without robotic AI clichés or emoji spam.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "social-media", "copywriting", "linkedin", "twitter-x", "instagram", "marketing", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "github-actions", "path": "skills/github-actions", "category": "devops", "name": "github-actions", "description": "Operational skill for GitHub Actions CI/CD: workflows, jobs, matrices, caching, OIDC cloud auth, secrets, and reusable workflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "github-actions", "ci", "cd", "oidc", "workflows", "yaml", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "github-packages-npm", "path": "skills/github-packages-npm", "category": "devops", "name": "github-packages-npm", "description": "Operational skill for GitHub Packages npm: publishing scoped packages, auth via GITHUB_TOKEN/PAT, .npmrc setup, and consuming private packages.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "github-packages", "npm", "registry", "publishing", "devops", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "gitignore-respecting-search", "path": "skills/gitignore-respecting-search", "category": "efficiency", "name": "gitignore-respecting-search", "description": "How autonomous agents use gitignore-aware search engines (ripgrep) to automatically exclude node_modules, build artifacts, and vendor directories, eliminating 95% of search noise.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ripgrep", "grep-search", "gitignore", "search-filtering", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "give-ai-direct-feedback", "path": "skills/give-ai-direct-feedback", "category": "common-sense", "name": "give-ai-direct-feedback", "description": "How to use the 3-Part Direct Feedback Formula to steer AI outputs without vague trial-and-error or starting chats from scratch.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "feedback-loops", "prompt-steering", "iteration", "tone-calibration", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "give-ai-situation-context", "path": "skills/give-ai-situation-context", "category": "common-sense", "name": "give-ai-situation-context", "description": "How to anchor prompts with the 4-Pillar Situation Framework (Role, Scale, Budget, Constraints) to stop AI from over-engineering or giving irrelevant advice.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "context-anchoring", "constraints", "tailored-advice", "prompt-engineering", "efficiency", "productivity" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "give-examples-first", "path": "skills/give-examples-first", "category": "common-sense", "name": "give-examples-first", "description": "Why providing 1 or 2 concrete examples (Few-Shot Prompting) is 10x more effective than describing rules with adjectives.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "few-shot-prompting", "exemplars", "in-context-learning", "formatting", "accuracy", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "go-services", "path": "skills/go-services", "category": "development", "name": "go-services", "description": "Operational skill for Go HTTP services: modules, idiomatic handlers, context cancellation, middleware, testing, and lean deployable binaries.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "go", "golang", "http", "modules", "services", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "godot", "path": "skills/godot", "category": "game-engines", "name": "godot", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Godot 4.x, GDScript 2.0, SceneTree node architectures, physics servers, and headless CI/CD export pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "godot", "godot4", "gdscript", "gamedev", "scenetree", "characterbody", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "gpg-signing", "path": "skills/gpg-signing", "category": "devops", "name": "gpg-signing", "description": "Operational skill for GPG signing: key generation hygiene, git commit/tag signing, verification, and revocation basics.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "gpg", "signing", "git", "keys", "verification", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "grafana", "path": "skills/grafana", "category": "devops", "name": "grafana", "description": "Operational skill for Grafana: data sources, dashboards, variables, panels, unified alerting, and dashboard-as-code provisioning.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "grafana", "dashboards", "alerting", "observability", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "graphql-apis", "path": "skills/graphql-apis", "category": "development", "name": "graphql-apis", "description": "Operational skill for GraphQL APIs: schema-first design, resolvers, N+1 prevention, authz in the graph, and client query discipline.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "graphql", "api", "schema", "resolvers", "dataloader", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "graphql-client", "path": "skills/graphql-client", "category": "development", "name": "graphql-client", "description": "Operational skill for GraphQL clients: Apollo Client and urql patterns for queries, mutations, cache, error policies, and auth headers.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "graphql", "apollo", "urql", "client", "cache", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "graphql-introspection-trimmer", "path": "skills/graphql-introspection-trimmer", "category": "efficiency", "name": "graphql-introspection-trimmer", "description": "How autonomous agents prune full GraphQL Introspection schemas and SDL dumps down to operation-targeted subgraphs, eliminating 90% of API context token bloat.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "graphql", "schema-pruning", "introspection", "sdl", "token-optimization", "api-integration" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "great-expectations", "path": "skills/great-expectations", "category": "scientific", "name": "great-expectations", "description": "Operational skill for Great Expectations: Expectation Suites, Checkpoints, Datasources, and data quality gates in pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "great-expectations", "data-quality", "validation", "etl", "testing", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "gzip-compressed-http-payloads", "path": "skills/gzip-compressed-http-payloads", "category": "efficiency", "name": "gzip-compressed-http-payloads", "description": "How agent client SDKs and MCP runtime bridges compress large conversation JSON payloads using gzip and zstd, slashing network transfer latency and socket timeouts by 80%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "gzip", "compression", "http-payloads", "network-efficiency", "latency", "mcp-transport" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "head-tail-log-clipping", "path": "skills/head-tail-log-clipping", "category": "efficiency", "name": "head-tail-log-clipping", "description": "How autonomous agents truncate massive terminal and build logs by retaining the first 20 lines (head) and last 40 lines (tail) while eliding the middle, eliminating 90% of log token bloat.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "log-clipping", "sandwich-truncation", "stdout-pruning", "cli-tools", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "header-only-c-cpp-ingestion", "path": "skills/header-only-c-cpp-ingestion", "category": "efficiency", "name": "header-only-c-cpp-ingestion", "description": "How autonomous agents inspect .h/.hpp header files first to understand class contracts and struct layouts before reading heavy .cpp implementation files, slashing C++ context token spend by 85%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "c-plus-plus", "headers", "interface-contracts", "token-optimization", "native-code", "context-pruning" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "helm", "path": "skills/helm", "category": "devops", "name": "helm", "description": "Operational skill for packaging and deploying Kubernetes applications with Helm charts, values overrides, hooks, dependencies, and release rollbacks.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "helm", "charts", "kubernetes", "values", "templating", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "highlight-action-items", "path": "skills/highlight-action-items", "category": "common-sense", "name": "highlight-action-items", "description": "How to command AI to top-load next steps and action items at the very beginning of responses to ensure zero dropped tasks and instant execution.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "action-items", "task-management", "top-loading", "productivity", "executive-brief", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "horos", "path": "skills/horos", "category": "medical", "name": "horos", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Horos DICOM viewer, PACS networking (C-STORE/C-FIND/C-MOVE), DCMTK pipelines, and Objective-C plugins.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "horos", "dicom-viewer", "pacs-networking", "pynetdicom", "c-store", "medical-imaging", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "houdini", "path": "skills/houdini", "category": "3d", "name": "houdini", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, troubleshoot, and script SideFX Houdini pipelines, VEX algorithms, Hou Python API, PDG/TOPs graphs, and Solaris/Karma rendering.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "houdini", "vex", "hou-python", "solaris-karma", "pdg-tops", "vellum", "flip-fluids" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "hubspot", "path": "skills/hubspot", "category": "enterprise", "name": "hubspot", "description": "Operational skill for HubSpot: CRM objects, properties, workflows, private apps, and HubSpot API rate-limit hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "hubspot", "crm", "workflows", "marketing", "api", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "huggingface-transformers", "path": "skills/huggingface-transformers", "category": "scientific", "name": "huggingface-transformers", "description": "Operational skill for Hugging Face Transformers: pipelines, tokenizers, fine-tuning, and inference with AutoModel APIs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "huggingface", "transformers", "nlp", "fine-tuning", "pytorch", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ibm-maximo", "path": "skills/ibm-maximo", "category": "enterprise", "name": "ibm-maximo", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize IBM Maximo, Maximo Application Suite (MAS), MBO Jython scripting, OSLC REST APIs, and MIF integrations.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ibm-maximo", "maximo-application-suite", "eam", "mbo-scripting", "jython", "mif-integration", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "in-place-file-mutation", "path": "skills/in-place-file-mutation", "category": "efficiency", "name": "in-place-file-mutation", "description": "Why autonomous coding agents must modify source files directly in-place using replace_file_content rather than creating temporary sidecar files (temp.py, new.ts), eliminating filesystem clutter and multi-turn cleanup overhead.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "in-place-mutation", "replace-file-content", "zero-tempfiles", "filesystem-hygiene", "token-optimization", "agentic-coding" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "incident-runbooks", "path": "skills/incident-runbooks", "category": "devops", "name": "incident-runbooks", "description": "Operational skill for writing actionable oncall runbooks: symptoms, severity, diagnostics, mitigation steps, escalation, and post-incident links.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "runbooks", "oncall", "incidents", "sre", "operations", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "incremental-diff-ingestion", "path": "skills/incremental-diff-ingestion", "category": "efficiency", "name": "incremental-diff-ingestion", "description": "How autonomous agents use compact unified git diffs (git diff -U3, git diff @{u}..HEAD) instead of full-file ingestion for PR reviews and commit audits, reducing review tokens by 90%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "git-diff", "code-review", "delta-ingestion", "pr-audit", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "inline-lambda-functions", "path": "skills/inline-lambda-functions", "category": "efficiency", "name": "inline-lambda-functions", "description": "How to eliminate verbose multi-line helper boilerplate by using concise inline lambda expressions and arrow functions, cutting callback token generation by 55%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "lambdas", "arrow-functions", "callbacks", "functional-programming", "token-optimization", "clean-code" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "inline-type-signatures", "path": "skills/inline-type-signatures", "category": "efficiency", "name": "inline-type-signatures", "description": "How to enforce native language type hints (TypeScript syntax, Python PEP 484) while stripping duplicate JSDoc/Sphinx @param docstrings, eliminating 40% of signature token bloat.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "type-signatures", "typescript", "python-typing", "jsdoc-elimination", "token-optimization", "clean-code" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "iterate-step-by-step", "path": "skills/iterate-step-by-step", "category": "common-sense", "name": "iterate-step-by-step", "description": "How to use the 4-Turn Conversational Scaffolding framework to build complex code, strategy, and content incrementally without token exhaustion or quality degradation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "iteration", "scaffolding", "workflow", "multi-turn", "agile", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "jira", "path": "skills/jira", "category": "productivity", "name": "jira", "description": "Operational skill for Jira: issue fields, JQL, workflows, automation hygiene, sprint practices, and REST API bulk updates.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "jira", "jql", "agile", "workflows", "rest-api", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "json-minified-payloads", "path": "skills/json-minified-payloads", "category": "efficiency", "name": "json-minified-payloads", "description": "How agent runtimes and tool callers serialize JSON payloads with compact single-line formatting (separators=(',', ':')), eliminating 40% of indentation whitespace tokens.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "json-minification", "whitespace-reduction", "serialization", "tool-calling", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "jupyter", "path": "skills/jupyter", "category": "scientific", "name": "jupyter", "description": "Operational skill for Jupyter: notebooks, kernels, reproducible cells, papermill params, and hygiene for sharing analytical work.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "jupyter", "notebooks", "python", "reproducibility", "papermill", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "kafka", "path": "skills/kafka", "category": "devops", "name": "kafka", "description": "Operational skill for Apache Kafka: topics, partitions, producers/consumers, consumer groups, offsets, and lag monitoring caveats.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "kafka", "streaming", "events", "consumer-groups", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "keep-instructions-direct", "path": "skills/keep-instructions-direct", "category": "common-sense", "name": "keep-instructions-direct", "description": "Why leading with precise imperative action verbs ('Refactor', 'Audit', 'Synthesize') maximizes model attention and eliminates preamble fluff.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "imperative-prompting", "action-verbs", "clarity", "prompt-engineering", "efficiency", "focus" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "keep-instructions-friendly-and-clear", "path": "skills/keep-instructions-friendly-and-clear", "category": "common-sense", "name": "keep-instructions-friendly-and-clear", "description": "How to use Markdown headers, bullet hierarchies, and XML delimiters to prevent instructions from bleeding into context data.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prompt-structure", "markdown-delimiters", "xml-tags", "formatting", "clarity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "keep-sensitive-financials-private", "path": "skills/keep-sensitive-financials-private", "category": "common-sense", "name": "keep-sensitive-financials-private", "description": "How to use synthetic substitution and mathematical scaling to analyze financial models, P&L sheets, and cap tables without leaking confidential numbers.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "data-privacy", "anonymization", "financial-safety", "security", "confidentiality", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "kicad", "path": "skills/kicad", "category": "eda", "name": "kicad", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize KiCad, Pcbnew Python API, kicad-cli toolchain, custom design rules, and automated fabrication pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "kicad", "pcbnew", "eeschema", "kicad-cli", "pcb-design", "open-source-eda", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "kotlin", "path": "skills/kotlin", "category": "development", "name": "kotlin", "description": "Operational skill for Kotlin: idiomatic null-safety, coroutines, flows, data classes, and interop with Java/Android APIs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "kotlin", "coroutines", "android", "jvm", "null-safety", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "kubernetes", "path": "skills/kubernetes", "category": "devops", "name": "kubernetes", "description": "Operational skill for agents to design, debug, and operate Kubernetes workloads with kubectl, Deployments, Services, Ingress, ConfigMaps, Secrets, and rollout hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "kubernetes", "kubectl", "k8s", "deployments", "ingress", "yaml", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "labview", "path": "skills/labview", "category": "scientific", "name": "labview", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize NI LabVIEW, G-Language dataflow, NI-DAQmx hardware drivers, VISA SCPI, and g-cli build pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "labview", "ni-daqmx", "g-language", "producer-consumer-qmh", "visa-scpi", "g-cli", "data-acquisition", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "langchain", "path": "skills/langchain", "category": "development", "name": "langchain", "description": "Operational skill for LangChain: chains/LCEL, tools, memory boundaries, retrieval, and production LLM app structure.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "langchain", "llm", "agents", "rag", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "lazy-dependency-loading", "path": "skills/lazy-dependency-loading", "category": "efficiency", "name": "lazy-dependency-loading", "description": "How autonomous coding agents rely on parametric knowledge first and fetch external SDK documentation Just-In-Time (JIT) only upon compiler or import failures, cutting upfront context bloat by 85%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "lazy-loading", "jit-context", "sdk-docs", "token-optimization", "parametric-knowledge", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "learn-new-skills-ten-times-faster", "path": "skills/learn-new-skills-ten-times-faster", "category": "common-sense", "name": "learn-new-skills-ten-times-faster", "description": "How to combine the Pareto Principle (80/20 rule) and the Feynman Technique to master complex software, skills, and subjects in record time.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "accelerated-learning", "pareto-principle", "feynman-technique", "socratic-learning", "skill-acquisition", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "lets-encrypt", "path": "skills/lets-encrypt", "category": "devops", "name": "lets-encrypt", "description": "Operational skill for agents to issue and renew TLS certificates with Let's Encrypt - certbot/acme.sh, HTTP-01/DNS-01, renewal timers, and failure recovery.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "lets-encrypt", "acme", "tls", "certbot", "certificates", "https" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "line-bounded-file-reading", "path": "skills/line-bounded-file-reading", "category": "efficiency", "name": "line-bounded-file-reading", "description": "How autonomous coding agents use StartLine and EndLine parameters to read targeted 30-to-50 line slices rather than unbounded 2,000-line files, eliminating 90% of file ingestion tokens.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "line-bounding", "view-file", "slice-reading", "token-optimization", "surgical-inspection", "agentic-coding" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "linear", "path": "skills/linear", "category": "productivity", "name": "linear", "description": "Operational skill for Claude to automate Linear via GraphQL API, issues, projects, cycles, labels, and webhook-driven product ops.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "linear", "graphql", "issues", "cycles", "product-ops", "webhooks", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "lint-auto-fix-delegation", "path": "skills/lint-auto-fix-delegation", "category": "efficiency", "name": "lint-auto-fix-delegation", "description": "How autonomous coding agents delegate formatting, unused imports, and styling rules to local linters (ruff, biome, eslint --fix) rather than wasting LLM tokens on manual syntax fixes.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "linter", "auto-fix", "ruff", "biome", "eslint", "code-formatting", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "list-comprehension-compression", "path": "skills/list-comprehension-compression", "category": "efficiency", "name": "list-comprehension-compression", "description": "How to replace verbose multi-line procedural accumulator loops with high-density Python list/dict comprehensions and functional pipelines, cutting loop token overhead by 60%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "list-comprehensions", "dict-comprehensions", "python-idioms", "functional-pipelines", "token-optimization", "clean-code" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "llamaindex", "path": "skills/llamaindex", "category": "development", "name": "llamaindex", "description": "Operational skill for LlamaIndex: indexes, retrievers, query engines, ingestion pipelines, and RAG evaluation basics.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "llamaindex", "rag", "retrieval", "llm", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "lm-studio-local-offloading", "path": "skills/lm-studio-local-offloading", "category": "efficiency", "name": "lm-studio-local-offloading", "description": "How autonomous engineering systems route mechanical sub-tasks (git commits, log triage, unit test boilerplate) to local GGUF models via LM Studio/Ollama, cutting cloud API spend by 60%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "lm-studio", "ollama", "local-models", "gguf", "hybrid-routing", "cost-reduction", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "logic-pro", "path": "skills/logic-pro", "category": "music", "name": "logic-pro", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Apple Logic Pro 11, Scripter MIDI FX JavaScript, Audio Units (AUv2/AUv3), Dolby Atmos, and CoreAudio.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "logic-pro", "scripter-midi-fx", "audio-units", "coreaudio", "dolby-atmos", "apple-silicon-audio", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "logit-bias-token-steering", "path": "skills/logit-bias-token-steering", "category": "efficiency", "name": "logit-bias-token-steering", "description": "How to apply logit_bias parameters at the transformer sampling layer to mathematically force 1-token boolean/enum decisions and ban conversational filler words, cutting output tokens by 99%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "logit-bias", "sampling", "token-steering", "deterministic-outputs", "tiktoken", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "losslesscut", "path": "skills/losslesscut", "category": "cross-platform", "name": "losslesscut", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize LosslessCut workflows, keyframe GOP alignment, lossless stream copying, and smart-cut rendering.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "losslesscut", "keyframe-cutting", "stream-copy", "ffmpeg", "gop-alignment", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "ltspice", "path": "skills/ltspice", "category": "eda", "name": "ltspice", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize LTspice, SPICE netlist syntax, convergence algorithms, switching converters, and .MEAS automation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ltspice", "spice-simulation", "analog-devices", "circuit-design", "convergence-tuning", "switch-mode-power", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "maccy", "path": "skills/maccy", "category": "macos", "name": "maccy", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Maccy, NSPasteboard changeCount polling, Secure Input locks, CoreData storage, and simulated paste events.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "maccy", "macos", "nspasteboard", "clipboard-manager", "secure-input", "cgevent", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "macwhisper", "path": "skills/macwhisper", "category": "macos", "name": "macwhisper", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize MacWhisper, Core ML / whisper.cpp engines, Apple Neural Engine (ANE) acceleration, and subtitle pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "macwhisper", "whisper-cpp", "coreml", "apple-silicon-ane", "speech-to-text", "subtitles-srt", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "makefile-automation", "path": "skills/makefile-automation", "category": "devops", "name": "makefile-automation", "description": "Operational skill for agents to design reliable Makefiles - phony targets, dependencies, variables, self-docs, and safe automation entrypoints for repos.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "makefile", "make", "automation", "phony", "devops", "dx" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "matlab", "path": "skills/matlab", "category": "scientific", "name": "matlab", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize MathWorks MATLAB R2024b/R2025a, MATLAB Engine API for Python, Simulink, parfor parallel computing, and MEX compilation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "matlab", "matlab-engine-python", "simulink", "parallel-computing-parfor", "mex-c", "numerical-analysis", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "max-tokens-ceiling-guard", "path": "skills/max-tokens-ceiling-guard", "category": "efficiency", "name": "max-tokens-ceiling-guard", "description": "How to clamp max_tokens parameter to task-specific budgets (1 to 300 tokens) rather than defaulting to 4,096, preventing runaway generation loops and capping financial exposure.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "max-tokens", "output-budgeting", "runaway-loops", "rate-limits", "cost-control", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "microsoft-excel", "path": "skills/microsoft-excel", "category": "office", "name": "microsoft-excel", "description": "Operational skill for Claude to automate Excel via Office Scripts, Power Query M, VBA patterns, dynamic arrays, and workbook data hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "excel", "office-scripts", "power-query", "m-language", "xlsx", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "microsoft-powertoys", "path": "skills/microsoft-powertoys", "category": "windows", "name": "microsoft-powertoys", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Microsoft PowerToys, FancyZones, PowerToys Run, Keyboard Manager, Awake, and settings.json automation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "microsoft-powertoys", "fancyzones", "powertoys-run", "keyboard-manager", "awake-utility", "windows-11", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "minimal-artifact-metadata", "path": "skills/minimal-artifact-metadata", "category": "efficiency", "name": "minimal-artifact-metadata", "description": "How to structure high-density ArtifactMetadata fields (Summary, UserFacing, RequestFeedback) during artifact creation and editing, cutting metadata overhead by 80%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "artifacts", "artifact-metadata", "summary-density", "token-optimization", "agent-ui", "antigravity-ide" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "minimal-diff-formatter", "path": "skills/minimal-diff-formatter", "category": "efficiency", "name": "minimal-diff-formatter", "description": "How to format code changes using standard unified diffs (```diff with + and - lines) instead of full-file code blocks, cutting output token generation by 85% and improving developer review velocity.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "unified-diff", "diff-formatter", "git-diff", "token-optimization", "code-review", "agent-communication" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "mlflow", "path": "skills/mlflow", "category": "scientific", "name": "mlflow", "description": "Operational skill for MLflow: experiment tracking, runs, artifacts, model registry, and reproducible ML logging.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "mlflow", "experiment-tracking", "model-registry", "mlops", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "model-tier-routing", "path": "skills/model-tier-routing", "category": "efficiency", "name": "model-tier-routing", "description": "How agent runtimes dynamically route prompts across Flash/Haiku, Sonnet/GPT-4o, and o1/Reasoning tiers based on task complexity, reducing aggregate API bills by 75%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "model-routing", "economic-dispatch", "haiku", "sonnet", "o1", "gemini-flash", "cost-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "mongodb", "path": "skills/mongodb", "category": "devops", "name": "mongodb", "description": "Operational skill for MongoDB: document modeling, indexes, aggregation pipelines, transactions, explain plans, and Atlas-friendly patterns.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "mongodb", "aggregation", "indexes", "nosql", "atlas", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "multi-tool-batch-invocation", "path": "skills/multi-tool-batch-invocation", "category": "efficiency", "name": "multi-tool-batch-invocation", "description": "How autonomous agents emit multiple independent tool calls in a single turn (tool_calls array), enabling parallel execution via Promise.all and slashing turn roundtrips by 70%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "parallel-tools", "multi-tool-calls", "async-execution", "turn-reduction", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "mysql", "path": "skills/mysql", "category": "devops", "name": "mysql", "description": "Operational skill for agents to administer MySQL/MariaDB - schema design, indexes, dumps, users/grants, replication basics, and safe migrations.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "mysql", "mariadb", "sql", "database", "replication", "migrations" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "n8n", "path": "skills/n8n", "category": "automation", "name": "n8n", "description": "Operational skill for Claude to automate n8n workflows via REST API, nodes, credentials, webhooks, and expression-safe data mapping.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "n8n", "workflow-automation", "webhooks", "rest-api", "nodes", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "never-paste-private-passwords", "path": "skills/never-paste-private-passwords", "category": "common-sense", "name": "never-paste-private-passwords", "description": "The essential security protocol for protecting API keys, passwords, credit card numbers, and PII from leaking into AI logs, training queues, and shared chats.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "cybersecurity", "secrets-management", "privacy", "api-keys", "data-protection", "safety" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "nextjs", "path": "skills/nextjs", "category": "development", "name": "nextjs", "description": "Operational skill for Next.js App Router: server vs client components, routing, data fetching/caching, Server Actions awareness, and production build hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "nextjs", "react", "app-router", "server-components", "frontend", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "nginx", "path": "skills/nginx", "category": "cross-platform", "name": "nginx", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, configure, troubleshoot, and optimize Nginx web server, reverse proxying, SSL/TLS termination, rate limiting, and upstream load balancing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "nginx", "reverse-proxy", "ssl-tls", "load-balancing", "web-server", "http2", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "nginx-hardening", "path": "skills/nginx-hardening", "category": "devops", "name": "nginx-hardening", "description": "Operational skill for agents to harden NGINX as a reverse proxy/ingress - TLS, headers, rate limits, request size, and upstream safety (distinct from general NGINX app serving).", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "nginx", "hardening", "tls", "rate-limit", "reverse-proxy", "security-headers" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "no-ls-bash-listing", "path": "skills/no-ls-bash-listing", "category": "efficiency", "name": "no-ls-bash-listing", "description": "Why autonomous agents must use structured native filesystem tools (list_dir) rather than spawning bash subprocesses (ls -la, dir), eliminating shell latency and 75% of permission token bloat.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "list-dir", "no-ls", "filesystem-tools", "cross-platform", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "no-polite-chitchat-closing", "path": "skills/no-polite-chitchat-closing", "category": "efficiency", "name": "no-polite-chitchat-closing", "description": "How to eliminate conversational closing signatures ('Hope this helps!', 'Let me know if you have questions!') to save output tokens and terminate turns immediately upon deliverable completion.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "zero-chitchat", "turn-termination", "conversational-filler", "token-savings", "agent-efficiency", "latency-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "no-preamble-code-blocks", "path": "skills/no-preamble-code-blocks", "category": "efficiency", "name": "no-preamble-code-blocks", "description": "How to enforce zero introductory throat-clearing ('Here is the code:') so responses start strictly on Line 1 with the code block or raw script, enabling direct CLI piping and saving output tokens.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "no-preamble", "line-1-deliverable", "cli-piping", "token-optimization", "clean-output", "developer-experience" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "no-redundant-type-casting", "path": "skills/no-redundant-type-casting", "category": "efficiency", "name": "no-redundant-type-casting", "description": "How to eliminate redundant type assertions (as unknown as T) and defensive coercion wrapping (str(str(x)), Boolean(y === true)), cutting code generation token bloat by 30%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "type-casting", "type-coercion", "typescript", "python-typing", "clean-code", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "no-vendor-directory-scans", "path": "skills/no-vendor-directory-scans", "category": "efficiency", "name": "no-vendor-directory-scans", "description": "How agent tools and recursive search crawlers enforce strict glob exclusion on vendor directories (node_modules, venv, target, dist, .git), preventing catastrophic 80,000-token context floods.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "vendor-exclusion", "node-modules", "venv", "directory-traversal", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "nodejs", "path": "skills/nodejs", "category": "development", "name": "nodejs", "description": "Operational skill for Node.js: ESM/CJS modules, async I/O, streams, process lifecycle, package scripts, and production runtime hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "nodejs", "javascript", "esm", "streams", "runtime", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "nomad", "path": "skills/nomad", "category": "devops", "name": "nomad", "description": "Operational skill for agents to schedule workloads with HashiCorp Nomad - jobspecs, task groups, networking, variables, and rollout strategies.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "nomad", "hashicorp", "scheduler", "jobs", "hcl", "orchestration" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "notion", "path": "skills/notion", "category": "knowledge", "name": "notion", "description": "Operational skill for Claude to automate Notion via official API, databases, pages, blocks, and property schemas for knowledge ops.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "notion", "notion-api", "databases", "blocks", "integrations", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "obsidian", "path": "skills/obsidian", "category": "knowledge", "name": "obsidian", "description": "Operational skill for Claude to automate Obsidian vaults via URI schemes, Templater/Dataview patterns, Markdown structure, and local plugin workflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "obsidian", "dataview", "templater", "markdown", "uri-scheme", "pkm", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "omada-controller", "path": "skills/omada-controller", "category": "network", "name": "omada-controller", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize TP-Link Omada SDN Controller, REST OpenAPI, MongoDB backend, device adoption, and VLAN/VPN routing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "omada-controller", "tp-link-sdn", "rest-openapi", "network-automation", "vlan-routing", "wifi-roaming", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "omarchy", "path": "skills/omarchy", "category": "linux", "name": "omarchy", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, configure, troubleshoot, theme, and extend Omarchy - the omakase Arch Linux distribution by DHH built on Hyprland, Quickshell, and Neovim.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "omarchy", "arch-linux", "hyprland", "quickshell", "neovim", "tiling-wm", "linux-distribution", "dhh", "wayland", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "one-sentence-elevator-pitch", "path": "skills/one-sentence-elevator-pitch", "category": "common-sense", "name": "one-sentence-elevator-pitch", "description": "How to force AI to condense complex apps, startups, and initiatives into a crystal-clear, 1-sentence elevator pitch using the XY Positioning Formula.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "elevator-pitch", "value-proposition", "positioning", "copywriting", "distillation", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "one-shot-subagent-prompts", "path": "skills/one-shot-subagent-prompts", "category": "efficiency", "name": "one-shot-subagent-prompts", "description": "How orchestrator agents formulate comprehensive, self-contained task prompts for child subagents (Task, Boundaries, Stop Conditions, Return Schema), eliminating 75% of multi-turn clarification ping-pongs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "subagents", "task-specification", "one-shot-prompting", "agent-orchestration", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "openai-api", "path": "skills/openai-api", "category": "development", "name": "openai-api", "description": "Operational skill for the OpenAI API: chat completions/responses, tools, embeddings, retries, and production client hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "openai", "api", "llm", "embeddings", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "openapi-endpoint-filtering", "path": "skills/openapi-endpoint-filtering", "category": "efficiency", "name": "openapi-endpoint-filtering", "description": "How autonomous agents slice monolithic 10,000-line OpenAPI/Swagger specifications down to operation-targeted sub-schemas, eliminating 99% of API specification token bloat.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "openapi", "swagger", "api-spec", "schema-pruning", "token-optimization", "api-integration" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "opencv", "path": "skills/opencv", "category": "scientific", "name": "opencv", "description": "Operational skill for OpenCV: image IO, transforms, contours, video capture, and classical computer-vision pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "opencv", "computer-vision", "image-processing", "python", "video", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "opentelemetry", "path": "skills/opentelemetry", "category": "devops", "name": "opentelemetry", "description": "Operational skill for agents to instrument services with OpenTelemetry - traces, metrics, logs, SDKs, collectors, and context propagation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "opentelemetry", "otel", "tracing", "metrics", "observability", "collector" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "oracle-ebs", "path": "skills/oracle-ebs", "category": "erp", "name": "oracle-ebs", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Oracle EBS R12.2, Oracle Forms, Concurrent Programs, PL/SQL APPS schema, and FNDLOAD migrations.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "oracle-ebs", "oracle-forms", "concurrent-manager", "plsql-apps", "fndload", "r12-ebs", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "orbstack", "path": "skills/orbstack", "category": "macos", "name": "orbstack", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize OrbStack, Apple Silicon Hypervisor.framework, VirtioFS, Rosetta 2 Linux emulation, and .orb.local networking.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "orbstack", "docker-macos", "hypervisor-framework", "virtiofs", "linux-vms", "rosetta2-emulation", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "originpro", "path": "skills/originpro", "category": "scientific", "name": "originpro", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize OriginLab OriginPro, originpro Python API, Nonlinear Curve Fitting (NLFit), Peak Analysis, and LabTalk.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "originpro", "originlab", "originpro-python", "nlfit-curve-fitting", "peak-analyzer", "labtalk", "scientific-graphing", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "osirix", "path": "skills/osirix", "category": "medical", "name": "osirix", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize OsiriX MD, PACS DICOM networking (C-STORE/C-FIND/C-MOVE), SQLite database indexing, and Hanging Protocols.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "osirix", "osirix-md", "radiology-workstation", "pacs-networking", "c-find", "c-move", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "outline-before-writing", "path": "skills/outline-before-writing", "category": "common-sense", "name": "outline-before-writing", "description": "How to use the Structural Outline Gate to lock in logical progression, prevent rambling drafts, and eliminate 80% of document rewriting.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "outlining", "writing-workflows", "document-structure", "planning", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "output-final-draft-only", "path": "skills/output-final-draft-only", "category": "common-sense", "name": "output-final-draft-only", "description": "How to use strict negative formatting constraints to suppress conversational chit-chat ('Sure, here is...', 'Hope this helps!') for 1-click copy-pasting and script automation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "zero-preamble", "token-savings", "automation", "clean-output", "copy-paste", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "owasp-asvs", "path": "skills/owasp-asvs", "category": "development", "name": "owasp-asvs", "description": "Operational skill for OWASP ASVS: selecting levels, mapping requirements to controls, evidence for reviews, and gap triage.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "owasp", "asvs", "security", "requirements", "verification", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "packer", "path": "skills/packer", "category": "devops", "name": "packer", "description": "Operational skill for agents to build golden machine images with HashiCorp Packer - templates, builders, provisioners, and immutable image pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "packer", "hashicorp", "ami", "images", "golden-image", "hcl" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "pandas", "path": "skills/pandas", "category": "scientific", "name": "pandas", "description": "Operational skill for pandas: DataFrames, IO, groupby/merge, dtype hygiene, and memory-aware ETL on tabular data.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "pandas", "dataframe", "etl", "python", "analytics", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "play-devils-advocate", "path": "skills/play-devils-advocate", "category": "common-sense", "name": "play-devils-advocate", "description": "How to use Adversarial Red-Teaming and Pre-Mortem analysis to stress-test business ideas, architecture choices, and investments before committing capital.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "devils-advocate", "pre-mortem", "red-teaming", "risk-assessment", "critical-thinking", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "playwright", "path": "skills/playwright", "category": "testing", "name": "playwright", "description": "Operational skill for Claude to automate Playwright Test with locators, fixtures, tracing, CI browsers, and resilient end-to-end specs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "playwright", "e2e", "trace-viewer", "locators", "fixtures", "ci", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "playwright-ci", "path": "skills/playwright-ci", "category": "testing", "name": "playwright-ci", "description": "CI-focused Playwright skill: flake control, retries/traces, sharding, blob reports, artifact upload, and deterministic auth/data in pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "playwright", "ci", "sharding", "traces", "flakes", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "polars", "path": "skills/polars", "category": "scientific", "name": "polars", "description": "Operational skill for Polars: LazyFrames, expressions, streaming scans, and fast single-node analytics on Parquet/CSV.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "polars", "dataframe", "lazy", "parquet", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "postgresql", "path": "skills/postgresql", "category": "devops", "name": "postgresql", "description": "Operational skill for PostgreSQL: schema design, indexing, EXPLAIN ANALYZE, vacuum, safe migrations, and production query hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "postgresql", "sql", "indexes", "explain", "migrations", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "postman", "path": "skills/postman", "category": "development", "name": "postman", "description": "Operational skill for Postman: collections, environments, pre-request scripts, Newman CI runs, and API contract smoke tests (complementary to Bruno).", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "postman", "api", "collections", "newman", "testing", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "prefect", "path": "skills/prefect", "category": "devops", "name": "prefect", "description": "Operational skill for Prefect: flows, tasks, deployments, work pools, retries, and observability for Python pipelines.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prefect", "orchestration", "flows", "etl", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "prioritize-urgent-vs-important", "path": "skills/prioritize-urgent-vs-important", "category": "common-sense", "name": "prioritize-urgent-vs-important", "description": "How to use AI to triage chaotic daily to-do lists into the 4 Eisenhower Quadrants (Do First, Schedule, Delegate, Eliminate) for maximum daily leverage.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "eisenhower-matrix", "task-prioritization", "time-management", "productivity", "deep-work", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "prisma", "path": "skills/prisma", "category": "development", "name": "prisma", "description": "Operational skill for Prisma ORM: schema modeling, migrations, client queries, transactions, and avoiding N+1 with relation loads.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prisma", "orm", "typescript", "migrations", "postgres", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "pro-tools", "path": "skills/pro-tools", "category": "music", "name": "pro-tools", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Avid Pro Tools Ultimate, Pro Tools Scripting SDK (PTSL/gRPC), AAX DSP, HDX hardware, and EUCON.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "pro-tools", "avid", "ptsl-sdk", "grpc-automation", "aax-dsp", "hdx-engine", "eucon", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "prometheus", "path": "skills/prometheus", "category": "devops", "name": "prometheus", "description": "Operational skill for Prometheus: scrape configs, PromQL, recording rules, alerting rules, cardinality control, and exporter hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prometheus", "promql", "alerting", "metrics", "observability", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "prompt-cache-control", "path": "skills/prompt-cache-control", "category": "efficiency", "name": "prompt-cache-control", "description": "How to strategically place Anthropic cache_control breakpoints and OpenAI prefix boundaries across system prompts, tool schemas, and conversation histories to achieve a 90% input cost discount.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prompt-caching", "cache-control", "anthropic-caching", "breakpoints", "cost-reduction", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "proofread-before-sending", "path": "skills/proofread-before-sending", "category": "common-sense", "name": "proofread-before-sending", "description": "How to use AI as an objective Emotional Tone & Subtext Auditor to catch unintended passive-aggression, defensiveness, or submissive phrasing before hitting send.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "tone-auditing", "emotional-intelligence", "communication", "email-proofreading", "subtext", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "pros-and-cons-table", "path": "skills/pros-and-cons-table", "category": "common-sense", "name": "pros-and-cons-table", "description": "How to upgrade basic pros/cons lists into Weighted Multi-Attribute Decision Matrices with impact scoring and reversibility analysis.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "decision-matrix", "pros-and-cons", "trade-offs", "impact-scoring", "reversibility", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ptc-windchill", "path": "skills/ptc-windchill", "category": "enterprise", "name": "ptc-windchill", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize PTC Windchill, PDMLink, Workgroup Manager (WWGM), OData REST APIs, and MethodServer administration.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ptc-windchill", "pdmlink", "plm", "workgroup-manager", "odata-rest", "methodserver", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "pulumi", "path": "skills/pulumi", "category": "devops", "name": "pulumi", "description": "Operational skill for agents to manage infrastructure as code with Pulumi - stacks, previews, secrets, providers, and safe up/destroy workflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "pulumi", "iac", "stacks", "typescript", "python", "cloud", "devops" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "python-packaging", "path": "skills/python-packaging", "category": "development", "name": "python-packaging", "description": "Operational skill for Python packaging: pyproject.toml, src layout, virtualenvs, pytest/ruff/mypy tooling, and publishing wheels to indexes.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "python", "packaging", "pyproject", "pytest", "wheels", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "pytorch", "path": "skills/pytorch", "category": "scientific", "name": "pytorch", "description": "Operational skill for PyTorch: tensors, nn.Module models, training/eval loops, device placement, checkpointing, and inference hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "pytorch", "deep-learning", "tensors", "training", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "qgis", "path": "skills/qgis", "category": "gis", "name": "qgis", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize QGIS, PyQGIS Python API, qgis_process CLI, GDAL/OGR drivers, and PostGIS geodatabases.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "qgis", "pyqgis", "qgis-process", "gdal-ogr", "postgis", "geopackage", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "rabbitmq", "path": "skills/rabbitmq", "category": "devops", "name": "rabbitmq", "description": "Operational skill for agents to run RabbitMQ messaging - exchanges, queues, bindings, ACK/NACK, DLQ, quorum queues, and consumer hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rabbitmq", "amqp", "messaging", "queues", "dlq", "quorum-queues" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "rails", "path": "skills/rails", "category": "development", "name": "rails", "description": "Operational skill for Ruby on Rails: MVC/API mode, Active Record, migrations, strong params, credentials, and conventional generators.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rails", "ruby", "activerecord", "mvc", "api", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "raycast", "path": "skills/raycast", "category": "macos", "name": "raycast", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Raycast, React/TypeScript Extension API (@raycast/api), Script Commands, and URL schemes.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "raycast", "macos-launcher", "raycast-api", "react-typescript", "script-commands", "accessibility-window", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "rclone", "path": "skills/rclone", "category": "cross-platform", "name": "rclone", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Rclone multi-cloud synchronization, FUSE virtual mounts, client-side encryption, and high-throughput transfers.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rclone", "cloud-storage", "fuse-mount", "s3", "google-drive", "vfs-cache", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "react", "path": "skills/react", "category": "development", "name": "react", "description": "Operational skill for React: function components, hooks discipline, state design, effects, lists/keys, and accessible interactive UI patterns.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "react", "hooks", "components", "frontend", "a11y", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "react-native", "path": "skills/react-native", "category": "development", "name": "react-native", "description": "Operational skill for React Native: core components, navigation, native modules awareness, New Architecture notes, and release builds.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "react-native", "mobile", "expo", "navigation", "javascript", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "reactive-wakeup-signaling", "path": "skills/reactive-wakeup-signaling", "category": "efficiency", "name": "reactive-wakeup-signaling", "description": "Why autonomous agents must rely on event-driven runtime wakeups instead of polling status loops (manage_task status) while waiting for background jobs, eliminating 95% of waiting token waste.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "reactive-wakeup", "event-driven", "polling-elimination", "background-tasks", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "rectangle", "path": "skills/rectangle", "category": "macos", "name": "rectangle", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Rectangle, macOS Accessibility API (AXUIElement), multi-display tiling, and URL scheme actions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rectangle", "macos-window-manager", "axuielement", "accessibility-api", "window-tiling", "url-scheme", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "redis", "path": "skills/redis", "category": "devops", "name": "redis", "description": "Operational skill for Redis: caching patterns, TTLs, data structures, keys design, pub/sub, and memory/eviction pitfalls.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "redis", "cache", "ttl", "datastructures", "sessions", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "redis-streams", "path": "skills/redis-streams", "category": "devops", "name": "redis-streams", "description": "Operational skill for Redis Streams: XADD/XREADGROUP, consumer groups, acknowledgements, pending entries, and trim policies (complementary to Redis caching).", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "redis", "streams", "consumer-groups", "messaging", "devops", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "regex-one-liner-refactoring", "path": "skills/regex-one-liner-refactoring", "category": "efficiency", "name": "regex-one-liner-refactoring", "description": "How to replace 20-line procedural character-by-character parsing loops with concise, compiled Regular Expressions, reducing string manipulation code size by 75%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "regex", "regular-expressions", "string-parsing", "refactoring", "token-optimization", "clean-code" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "remember-ai-cutoff-dates", "path": "skills/remember-ai-cutoff-dates", "category": "common-sense", "name": "remember-ai-cutoff-dates", "description": "How to prevent obsolete code, deprecated APIs, and outdated tax advice by enforcing Temporal Grounding and live web search triggers.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "knowledge-cutoff", "temporal-grounding", "api-deprecation", "versioning", "fact-checking", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "remotion", "path": "skills/remotion", "category": "video-editing", "name": "remotion", "description": "Operational skill for Claude to automate Remotion React video compositions, render CLI, server-side renders, and programmatic timeline props.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "remotion", "react-video", "composition", "render-cli", "remotion-lambda", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "reuse-saved-prompt-templates", "path": "skills/reuse-saved-prompt-templates", "category": "common-sense", "name": "reuse-saved-prompt-templates", "description": "How to build and maintain a parameterized Personal Prompt Library in Raycast, Obsidian, or TextExpander to save 30 minutes of typing every day.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prompt-library", "templates", "snippets", "textexpander", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "rhino", "path": "skills/rhino", "category": "cad", "name": "rhino", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize McNeel Rhinoceros (Rhino 8), RhinoCommon API, Grasshopper visual data trees, and Rhino.Compute.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rhino", "rhino-8", "grasshopper", "rhinocommon", "nurbs", "rhino-inside", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "ripgrep-over-grep-command", "path": "skills/ripgrep-over-grep-command", "category": "efficiency", "name": "ripgrep-over-grep-command", "description": "Why autonomous agents must use structured native code search tools (grep_search) rather than terminal shell commands (grep -rn), eliminating ANSI formatting noise and capping match overflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "grep-search", "ripgrep", "code-search", "native-tools", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "rockwell-studio-5000", "path": "skills/rockwell-studio-5000", "category": "plc-industrial", "name": "rockwell-studio-5000", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Rockwell Studio 5000 Logix Designer, ControlLogix/CompactLogix, EtherNet/IP CIP, pycomm3, and L5X schemas.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rockwell-studio-5000", "logix-designer", "controllogix", "compactlogix", "ethernet-ip-cip", "pycomm3", "l5x-xml", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "roleplay-an-expert", "path": "skills/roleplay-an-expert", "category": "common-sense", "name": "roleplay-an-expert", "description": "How to use Deep Contextual Persona Anchoring to shift model weights from generic textbook answers to elite, practitioner-grade domain advice.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "system-personas", "roleplaying", "expert-prompting", "domain-expertise", "context-anchoring", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "rpg-maker", "path": "skills/rpg-maker", "category": "game-engines", "name": "rpg-maker", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize RPG Maker MZ/MV, JavaScript plugins, Pixi.js rendering, JSON database schemas, and event scripting.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rpg-maker", "rpgmaker-mz", "javascript-plugins", "pixijs", "gamedev", "event-scripting", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "rust-cli", "path": "skills/rust-cli", "category": "development", "name": "rust-cli", "description": "Operational skill for Rust CLIs: clap argument parsing, error handling with anyhow/thiserror, Cargo workspace layout, and distributable binaries.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rust", "cli", "clap", "cargo", "binaries", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "salesforce", "path": "skills/salesforce", "category": "enterprise", "name": "salesforce", "description": "Operational skill for Salesforce: objects, SOQL/SOSL, Apex triggers, Flows, Lightning Web Components, and API integration hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "salesforce", "soql", "apex", "flows", "crm", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "sandboxie-plus", "path": "skills/sandboxie-plus", "category": "windows", "name": "sandboxie-plus", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Sandboxie-Plus, SbieDrv.sys kernel driver, Sandboxie.ini configuration, Start.exe CLI, and ephemeral malware containment.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "sandboxie-plus", "sbiedrv-sys", "application-isolation", "sandboxie-ini", "start-exe-cli", "malware-containment", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "sap-gui", "path": "skills/sap-gui", "category": "erp", "name": "sap-gui", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize SAP GUI 8.0, SAP GUI Scripting API (VBScript/Python), ALV Grid controls, and SAPUILandscape.xml.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "sap-gui", "sap-scripting", "alv-grid", "s4hana", "abap-transactions", "saplogon", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "save-favorite-prompts-cheat-sheet", "path": "skills/save-favorite-prompts-cheat-sheet", "category": "common-sense", "name": "save-favorite-prompts-cheat-sheet", "description": "How to organize and maintain a 1-page high-leverage prompt cheat sheet for instant copy-pasting across daily work tasks.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "cheat-sheet", "prompt-library", "quick-reference", "productivity", "workflows", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "schema-pruned-function-calling", "path": "skills/schema-pruned-function-calling", "category": "efficiency", "name": "schema-pruned-function-calling", "description": "How to strip redundant descriptions, uncalled optional parameters, and unused tool definitions from agent JSON schemas, cutting baseline tool-calling token overhead by 65%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "tool-schemas", "function-calling", "schema-pruning", "json-schema", "token-optimization", "mcp-tools" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "scikit-learn", "path": "skills/scikit-learn", "category": "scientific", "name": "scikit-learn", "description": "Operational skill for scikit-learn: pipelines, CV, preprocessing, model selection, and leakage-safe tabular ML.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "scikit-learn", "machine-learning", "pipelines", "cross-validation", "python", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "scoop", "path": "skills/scoop", "category": "windows", "name": "scoop", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Scoop Package Manager, PowerShell app manifests, Git buckets, shims generation, and aria2 acceleration.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "scoop", "powershell-package-manager", "scoop-buckets", "shims-path", "aria2-acceleration", "windows-cli", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "scratch-file-isolation", "path": "skills/scratch-file-isolation", "category": "efficiency", "name": "scratch-file-isolation", "description": "Why all temporary debug scripts, one-off AST refactorers, and test payloads must be quarantined inside a dedicated scratch/ directory, eliminating git status noise and test runner collisions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "scratch-isolation", "ephemeral-scripts", "git-hygiene", "workspace-safety", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "scripted-formatting-delegation", "path": "skills/scripted-formatting-delegation", "category": "efficiency", "name": "scripted-formatting-delegation", "description": "How autonomous coding agents delegate codebase-wide indentation, line-wrapping, and styling to local deterministic formatters (prettier, ruff, gofmt) rather than burning LLM tokens on reformatting.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "code-formatting", "prettier", "ruff-format", "gofmt", "token-optimization", "clean-code" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "selective-grep-filtering", "path": "skills/selective-grep-filtering", "category": "efficiency", "name": "selective-grep-filtering", "description": "How to use precise filetype globs (Includes: ['src/**/*.ts', '!**/*.test.ts']) and literal string matching to eliminate 90% of search noise and false-positive matches.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "grep-search", "glob-filtering", "ripgrep", "search-precision", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "semantic-key-shortening", "path": "skills/semantic-key-shortening", "category": "efficiency", "name": "semantic-key-shortening", "description": "How to use standardized, universally understood abbreviations (src, dst, err, req, res, fn, qty) in JSON schemas and structured outputs to cut payload token consumption by 55%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "json-compression", "semantic-keys", "abbreviations", "pydantic-aliases", "token-optimization", "structured-data" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "semgrep", "path": "skills/semgrep", "category": "development", "name": "semgrep", "description": "Operational skill for Semgrep: writing rules, running CI scans, tuning noise, and triaging findings without drowning in false positives.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "semgrep", "sast", "static-analysis", "security", "ci", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "servicenow-desktop", "path": "skills/servicenow-desktop", "category": "enterprise", "name": "servicenow-desktop", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize ServiceNow Desktop agents, MID Server, Agent Client Collector (ACC), and Table REST APIs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "servicenow", "mid-server", "agent-client-collector", "itsm", "cmdb-discovery", "ecc-queue", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "set-a-word-count-ceiling", "path": "skills/set-a-word-count-ceiling", "category": "common-sense", "name": "set-a-word-count-ceiling", "description": "How to enforce hard word ceilings ('under 60 words', 'max 3 sentences') to eliminate fluff, boost readability, and slash token costs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "word-count", "conciseness", "token-savings", "brevity", "information-density", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "sharex", "path": "skills/sharex", "category": "windows", "name": "sharex", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize ShareX, FFmpeg screen recording, Custom Uploader (.sxcu) APIs, OCR workflows, and CLI integration.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "sharex", "ffmpeg-screen-recording", "custom-uploader-sxcu", "windows-ocr", "scrolling-capture", "windows-11", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "shopify-app", "path": "skills/shopify-app", "category": "development", "name": "shopify-app", "description": "Operational skill for Shopify app development: app extensions, OAuth/session tokens, GraphQL Admin API, webhooks, and billing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "shopify", "app", "graphql", "webhooks", "oauth", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "shottr", "path": "skills/shottr", "category": "macos", "name": "shottr", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Shottr, Apple ScreenCaptureKit, Vision framework OCR, Metal graphics rendering, and scrolling captures.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "shottr", "macos-screen-capture", "screencapturekit", "vision-framework-ocr", "metal-rendering", "scrolling-screenshot", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "siemens-nx", "path": "skills/siemens-nx", "category": "cad", "name": "siemens-nx", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Siemens NX, NX Open Python API, Synchronous Technology, and Teamcenter PLM.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "siemens-nx", "nx-open", "parasolid", "synchronous-technology", "teamcenter", "claude", "cad-automation" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "siemens-tia-portal", "path": "skills/siemens-tia-portal", "category": "plc-industrial", "name": "siemens-tia-portal", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Siemens TIA Portal V18/V19, SIMATIC S7-1200/1500, SCL, TIA Openness (.NET), and snap7 communication.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "siemens-tia-portal", "simatic-s7", "scl-programming", "tia-openness", "snap7", "profinet", "plc-automation", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "silent-background-task-execution", "path": "skills/silent-background-task-execution", "category": "efficiency", "name": "silent-background-task-execution", "description": "How autonomous agents launch long-running compilation, server, and test processes asynchronously (WaitMsBeforeAsync, IsDaemon) without blocking chat turns or polling.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "background-tasks", "async-daemon", "run-command", "non-blocking", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "simple-understanding-quiz", "path": "skills/simple-understanding-quiz", "category": "common-sense", "name": "simple-understanding-quiz", "description": "How to use the Testing Effect and Active Retrieval practice to diagnose knowledge gaps, eliminate illusions of competence, and lock in concepts.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "active-recall", "retrieval-practice", "diagnostic-quiz", "learning", "education", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "simplify-legal-contract-terms", "path": "skills/simplify-legal-contract-terms", "category": "common-sense", "name": "simplify-legal-contract-terms", "description": "How to extract and translate the 5 most dangerous commercial contract clauses (Auto-Renewal, Liability Caps, IP Assignment, Price Increases, Termination Fees) into plain English.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "contract-simplification", "legal-red-flags", "plain-english", "auto-renewal", "liability", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "single-command-script-chaining", "path": "skills/single-command-script-chaining", "category": "efficiency", "name": "single-command-script-chaining", "description": "How to chain setup, build, and verification commands into atomic single-turn compound executions (&&, ;, |), slashing API roundtrips and conversation context accumulation by 80%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "command-chaining", "compound-cli", "bash-chaining", "powershell", "turn-reduction", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "single-line-error-summaries", "path": "skills/single-line-error-summaries", "category": "efficiency", "name": "single-line-error-summaries", "description": "How to condense 100-line stack traces into structured single-line root cause statements (🚨 [FAIL: file:line] ErrorType: Message), slashing error reporting tokens by 95%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "error-summaries", "root-cause", "stack-traces", "debugging", "token-optimization", "clean-output" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "single-pass-multi-replace", "path": "skills/single-pass-multi-replace", "category": "efficiency", "name": "single-pass-multi-replace", "description": "How to edit multiple separated blocks across a single file in one atomic turn using multi_replace_file_content, eliminating line-drift offset errors and cutting edit roundtrips by 70%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "multi-replace", "atomic-edits", "non-contiguous-edits", "line-drift", "token-optimization", "agentic-coding" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "skip-explaining-the-obvious", "path": "skills/skip-explaining-the-obvious", "category": "common-sense", "name": "skip-explaining-the-obvious", "description": "How to suppress introductory 101 definitions and force AI to assume senior domain competence, saving tokens and reading time.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "senior-baseline", "introductory-suppression", "conciseness", "token-savings", "expert-prompting", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "skip-polite-filler-words", "path": "skills/skip-polite-filler-words", "category": "common-sense", "name": "skip-polite-filler-words", "description": "Why stripping polite filler words ('Please', 'Hello', 'Could you kindly') saves input tokens, eliminates conversational skew, and sharpens response quality.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "zero-fluff", "token-savings", "prompt-efficiency", "conversational-skew", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "slack", "path": "skills/slack", "category": "productivity", "name": "slack", "description": "Operational skill for Claude to automate Slack via Web API, Block Kit, Bolt apps, events, slash commands, and chat.postMessage patterns.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "slack", "web-api", "block-kit", "bolt", "chatops", "events-api", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "sliding-window-chat-truncation", "path": "skills/sliding-window-chat-truncation", "category": "efficiency", "name": "sliding-window-chat-truncation", "description": "How agent runtimes enforce a 3-zone sliding window (Immutable Anchor, Compressed Milestone Summary, Active Sliding Buffer) to keep conversation context bounded under 12,000 tokens across 100+ turns.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "sliding-window", "context-truncation", "token-governor", "memory-management", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "sniffnet", "path": "skills/sniffnet", "category": "cross-platform", "name": "sniffnet", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, configure, troubleshoot, and optimize Sniffnet, Rust pcap/npcap capture drivers, BPF packet filtering, and bandwidth threshold alerts.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "sniffnet", "pcap", "npcap", "network-monitoring", "packet-capture", "rust", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "snowflake", "path": "skills/snowflake", "category": "devops", "name": "snowflake", "description": "Operational skill for Snowflake: warehouses, roles, stages, COPY, Time Travel, and cost-aware SQL analytics.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "snowflake", "warehouse", "sql", "copy", "rbac", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "snyk", "path": "skills/snyk", "category": "devops", "name": "snyk", "description": "Operational skill for Snyk: Open Source SCA, container/IaC scans, fixing via PRs, ignore policies, and CI gate tuning.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "snyk", "sca", "vulnerabilities", "containers", "security", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "solidworks", "path": "skills/solidworks", "category": "cad", "name": "solidworks", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Dassault Systèmes SOLIDWORKS, COM/VBA API, FeatureManager trees, and assembly mates.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "solidworks", "sldworks-api", "parametric-cad", "win32com", "assembly-mates", "claude", "cad-automation" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "spark", "path": "skills/spark", "category": "scientific", "name": "spark", "description": "Operational skill for Apache Spark: DataFrames, partitions, shuffle hygiene, Spark SQL, and job debugging on clusters or local mode.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "spark", "pyspark", "dataframe", "big-data", "sql", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "specify-high-precision-needs", "path": "skills/specify-high-precision-needs", "category": "common-sense", "name": "specify-high-precision-needs", "description": "How to trigger maximum model rigor, deterministic reasoning, and zero-extrapolation constraints for audits, compliance, and safety-critical tasks.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "precision-mode", "high-stakes", "compliance", "zero-extrapolation", "fact-checking", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "specify-preferred-writing-style", "path": "skills/specify-preferred-writing-style", "category": "common-sense", "name": "specify-preferred-writing-style", "description": "How to move beyond vague style adjectives by defining Tone, Information Density, and Sentence Cadence across 5 standard professional style presets.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "writing-style", "tone-matching", "copywriting", "style-presets", "communication", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "specify-the-audience", "path": "skills/specify-the-audience", "category": "common-sense", "name": "specify-the-audience", "description": "How to anchor prompts with precise Audience Profiles to calibrate vocabulary, technical depth, and emotional framing for specific readers.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "audience-calibration", "stakeholder-management", "communication", "framing", "readability", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "speculative-decoding-prompting", "path": "skills/speculative-decoding-prompting", "category": "efficiency", "name": "speculative-decoding-prompting", "description": "How to structure prompts and utilize Predicted Outputs (OpenAI/vLLM) to maximize speculative draft token acceptance rates, speeding up code generation by 3x at zero cost.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "speculative-decoding", "predicted-outputs", "vllm", "inference-acceleration", "latency-optimization", "token-throughput" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "spring-boot", "path": "skills/spring-boot", "category": "development", "name": "spring-boot", "description": "Operational skill for Spring Boot: starters, dependency injection, REST controllers, validation, profiles, Actuator, and test slices.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "spring-boot", "java", "rest", "dependency-injection", "actuator", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "sqlite", "path": "skills/sqlite", "category": "devops", "name": "sqlite", "description": "Operational skill for agents to use SQLite effectively - schema, WAL mode, migrations, backups, pragmas, and concurrency limits.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "sqlite", "sql", "embedded-db", "wal", "migrations", "local-dev" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "standard-library-preference", "path": "skills/standard-library-preference", "category": "efficiency", "name": "standard-library-preference", "description": "How to leverage modern built-in standard library utilities (functools, structuredClone, crypto.randomUUID, itertools) instead of writing custom helper boilerplate or pulling in heavy third-party dependencies.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "standard-library", "native-primitives", "zero-dependencies", "clean-code", "token-optimization", "python-stdlib" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "start-fresh-chat-new-topics", "path": 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"intent-prompting", "problem-solving", "clarity", "root-cause", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "stop-sequence-truncation", "path": "skills/stop-sequence-truncation", "category": "efficiency", "name": "stop-sequence-truncation", "description": "How to configure custom stop sequences (stop: ['\\\\\\\\n\\\\\\\\n', '```\\\\\\\\n', '---']) at the inference sampler layer to terminate generation instantly upon deliverable completion, cutting trailing tokens by 50%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "stop-sequences", "sampler-cutoff", "token-optimization", "output-truncation", "early-termination", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "stop-wrong-answers-early", "path": "skills/stop-wrong-answers-early", "category": "common-sense", "name": "stop-wrong-answers-early", "description": "Why hitting 'Stop Generating' within 3 seconds of a misdirected response saves tokens, eliminates context poisoning, and speeds up workflow.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "fast-abort", "token-savings", "context-hygiene", "stop-generating", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "stripe", "path": "skills/stripe", "category": "development", "name": "stripe", "description": "Operational skill for Stripe payments: Checkout, PaymentIntents, webhooks with signature verification, subscriptions, idempotency keys, and test-mode hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "stripe", "payments", "webhooks", "subscriptions", "checkout", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "structure-weekly-to-do-list", "path": "skills/structure-weekly-to-do-list", "category": "common-sense", "name": "structure-weekly-to-do-list", "description": "How to parse a chaotic brain dump into a sustainable 5-day Thematic Sprint with morning deep-work blocks and energy-calibrated task distribution.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "weekly-planning", "time-blocking", "task-management", "productivity", "thematic-days", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "structured-outputs-strict-mode", "path": "skills/structured-outputs-strict-mode", "category": "efficiency", "name": "structured-outputs-strict-mode", "description": "How to use OpenAI and Gemini Strict Mode (strict: true) and CFG-guided decoding (Pydantic/Zod) to guarantee 100% schema adherence, eliminating markdown wrapping and JSON parse retries.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "structured-outputs", "strict-mode", "json-schema", "pydantic", "zod", "cfg-decoding", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "subagent-transcript-indexing", "path": "skills/subagent-transcript-indexing", "category": "efficiency", "name": "subagent-transcript-indexing", "description": "How orchestrator agents query historical child subagent transcripts locally using ripgrep on structured JSONL logs, eliminating 98% of multi-agent context replay tokens.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "subagent-transcripts", "jsonl-search", "transcript-indexing", "multi-agent", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "substance-painter", "path": "skills/substance-painter", "category": "3d", "name": "substance-painter", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, troubleshoot, and script Adobe Substance 3D Painter PBR texturing pipelines, mesh map baking, Python API automation, and SAT batch rendering.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "substance-painter", "pbr-texturing", "substance-api", "substance-automation-toolkit", "mesh-baking", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "summarize-meetings-into-decisions", "path": "skills/summarize-meetings-into-decisions", "category": "common-sense", "name": "summarize-meetings-into-decisions", "description": "How to extract high-signal Decision Records and rationale from messy meeting transcripts, filtering out 90% of chronological conversational chatter.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "meeting-summaries", "decision-records", "executive-brief", "transcript-parsing", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "summarized-rag-memories", "path": "skills/summarized-rag-memories", "category": "efficiency", "name": "summarized-rag-memories", "description": "How to compress retrieved vector/RAG document chunks into 3-bullet atomic facts before injecting them into frontier LLM context, cutting RAG token bloat by 85%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "rag-optimization", "vector-search", "fact-distillation", "memory-compression", "token-optimization", "knowledge-retrieval" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "supabase", "path": "skills/supabase", "category": "devops", "name": "supabase", "description": "Operational skill for Claude to automate Supabase via JS client, SQL migrations, RLS policies, Edge Functions, Auth, and CLI workflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "supabase", "postgres", "rls", "edge-functions", "auth", "cli", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "supabase-rls", "path": "skills/supabase-rls", "category": "devops", "name": "supabase-rls", "description": "Advanced operational skill for Supabase Row Level Security: policy design, security definer RPCs, storage policies, Edge Function authz, and RLS performance.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "supabase", "rls", "postgres", "policies", "edge-functions", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "suppress-verbose-build-output", "path": "skills/suppress-verbose-build-output", "category": "efficiency", "name": "suppress-verbose-build-output", "description": "How to use native quiet flags (--silent, -q) and stream redirection (> /dev/null, | Out-Null) on package installations and builds, eliminating 99% of stdout progress bar token pollution.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "stdout-suppression", "silent-builds", "npm-silent", "pip-quiet", "token-optimization", "cli-efficiency" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "swift", "path": "skills/swift", "category": "development", "name": "swift", "description": "Operational skill for Swift: value types, optionals, async/await, actors, SwiftUI state basics, and protocol-oriented design.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "swift", "async-await", "swiftui", "ios", "actors", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "symbol-declaration-index", "path": "skills/symbol-declaration-index", "category": "efficiency", "name": "symbol-declaration-index", "description": "How to generate and query compact 1-line symbol indexes (tags / symbols.tsv) using Tree-sitter and Universal Ctags, enabling instant symbol localization without multi-file text scans.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "symbol-index", "ctags", "tree-sitter", "ast-index", "codebase-navigation", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "system-informer", "path": "skills/system-informer", "category": "windows", "name": "system-informer", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize System Informer (Process Hacker 3), KSystemInformer.sys kernel driver, ntdll Native API inspection, and memory diagnostics.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "system-informer", "process-hacker", "ksysteminformer-sys", "ntdll-native-api", "process-memory-inspection", "windows-kernel", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "system-prompt-minifier", "path": "skills/system-prompt-minifier", "category": "efficiency", "name": "system-prompt-minifier", "description": "How to build and run an automated system prompt minifier that strips markdown comments, compresses redundant whitespace, and rewrites polite fluff into dense imperative grammar, cutting prompt size by 50%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prompt-minifier", "system-prompts", "token-compression", "prompt-compiler", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "tailscale", "path": "skills/tailscale", "category": "cross-platform", "name": "tailscale", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, configure, troubleshoot, and optimize Tailscale mesh VPN networks, WireGuard tunnels, DERP relays, subnet routers, and MagicDNS.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "tailscale", "wireguard", "mesh-vpn", "derp-relay", "magicdns", "subnet-router", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "talk-like-to-a-smart-ten-year-old", "path": "skills/talk-like-to-a-smart-ten-year-old", "category": "common-sense", "name": "talk-like-to-a-smart-ten-year-old", "description": "How to use the ELI10 mental model framework to demystify complex technical, financial, and scientific concepts without childish condescension or dense jargon.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "eli10", "mental-models", "analogies", "learning", "simplification", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "targeted-line-range-edits", "path": "skills/targeted-line-range-edits", "category": "efficiency", "name": "targeted-line-range-edits", "description": "How to apply precise line-bounded code edits using replace_file_content ([StartLine, EndLine] windowing) rather than rewriting complete 500-line files, cutting edit output tokens by 95%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "line-range-edits", "replace-file-content", "atomic-patching", "token-optimization", "clean-diffs", "agentic-coding" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "tell-ai-what-not-to-do", "path": "skills/tell-ai-what-not-to-do", "category": "common-sense", "name": "tell-ai-what-not-to-do", "description": "How to use explicit Negative Constraints ('Do NOT use third-party libraries', 'Do NOT use passive voice') to prune hallucination paths and lock in exact specifications.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "negative-constraints", "guardrails", "prompt-engineering", "pruning", "precision", "safety" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "tell-ai-when-in-a-rush", "path": "skills/tell-ai-when-in-a-rush", "category": "common-sense", "name": "tell-ai-when-in-a-rush", "description": "How to trigger Emergency High-Velocity Mode for instant 3-second answers during live client meetings, outages, and negotiation standoffs.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "emergency-mode", "high-velocity", "incident-response", "quick-answers", "triage", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "tell-ai-your-time-budget", "path": "skills/tell-ai-your-time-budget", "category": "common-sense", "name": "tell-ai-your-time-budget", "description": "How to anchor prompts with explicit execution time limits ('I have 10 minutes before a demo' vs 'I have 2 days') to get calibrated solutions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "time-budget", "scoping", "pragmatism", "quick-fixes", "engineering-tradeoffs", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "temperature-zero-determinism", "path": "skills/temperature-zero-determinism", "category": "efficiency", "name": "temperature-zero-determinism", "description": "Why code generation, tool calling, and structured JSON extractions must always execute at temperature: 0.0 (greedy decoding), eliminating stochastic hallucinations and compiler retry loops.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "temperature-zero", "greedy-decoding", "determinism", "code-generation", "compiler-safety", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "ternary-operator-utilization", "path": "skills/ternary-operator-utilization", "category": "efficiency", "name": "ternary-operator-utilization", "description": "How to condense 6-line mutable if/else blocks into single-line ternary expressions and nullish coalescing operators (condition ? a : b, a ?? b), cutting conditional statement tokens by 55%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ternary-operator", "inline-conditionals", "nullish-coalescing", "immutability", "token-optimization", "clean-code" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "terraform", "path": "skills/terraform", "category": "devops", "name": "terraform", "description": "Operational skill for writing and reviewing Terraform HCL: providers, modules, remote state, plans, applies, and destructive-change safety.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "terraform", "iac", "hcl", "modules", "state", "cloud", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "terraform-aws", "path": "skills/terraform-aws", "category": "devops", "name": "terraform-aws", "description": "Operational skill for AWS-focused Terraform: module layout, providers, IAM least privilege, state backends, and safe applies (complementary to general Terraform).", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "terraform", "aws", "modules", "iam", "infrastructure", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "think-of-ai-as-a-junior-assistant", "path": "skills/think-of-ai-as-a-junior-assistant", "category": "common-sense", "name": "think-of-ai-as-a-junior-assistant", "description": "Why treating AI as a brilliant but inexperienced junior intern - fast and knowledgeable, but requiring explicit guardrails and final QA - maximizes leverage.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "mental-models", "delegation", "quality-control", "management", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "token-aware-chunking", "path": "skills/token-aware-chunking", "category": "efficiency", "name": "token-aware-chunking", "description": "How to chunk technical documentation and source code along AST/markdown boundaries calibrated strictly to tokenizer limits (tiktoken cl100k/o200k), eliminating fragmented code syntax and embedding clipping.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "token-chunking", "semantic-chunking", "tiktoken", "rag-embeddings", "ast-slicing", "token-optimization" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "token-bounded-summaries", "path": "skills/token-bounded-summaries", "category": "efficiency", "name": "token-bounded-summaries", "description": "How to constrain operational, PR, and milestone summaries to a strict 50-token ceiling ([ACTION] -> [CHANGE] -> [STATUS]), eliminating 400-word narrative essays and cutting output tokens by 88%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "token-bounded-summaries", "concise-summaries", "telemetry", "pr-summaries", "token-optimization", "clean-output" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "token-budget-allocator", "path": "skills/token-budget-allocator", "category": "efficiency", "name": "token-budget-allocator", "description": "How agent runtimes enforce mathematical token quotas across system instructions, tool schemas, RAG context, and conversation history, preventing single-source context exhaustion.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "token-budget", "quota-enforcer", "context-partitioning", "memory-management", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "token-efficient-markdown", "path": "skills/token-efficient-markdown", "category": "efficiency", "name": "token-efficient-markdown", "description": "How to format markdown documentation, tables, and artifacts with high structural density, eliminating decorative ASCII dividers, padded table spaces, and multi-newline whitespace bloat.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "markdown-efficiency", "token-optimization", "clean-markdown", "table-formatting", "density-standards", "documentation" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "token-usage-monitoring-hook", "path": "skills/token-usage-monitoring-hook", "category": "efficiency", "name": "token-usage-monitoring-hook", "description": "How to implement client-side middleware hooks to meter per-turn input/output tokens in real-time, alerting on consumption spikes and enforcing session budget caps.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "token-monitoring", "telemetry-hook", "cost-tracking", "anomaly-detection", "budget-caps", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "tool-choice-forcing", "path": "skills/tool-choice-forcing", "category": "efficiency", "name": "tool-choice-forcing", "description": "How to configure tool_choice parameters (tool_choice: 'required' or tool_choice: {name: 'target_tool'}) to eliminate conversational dodging and guarantee immediate 1-turn tool execution.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "tool-choice", "forced-tools", "function-calling", "zero-hesitation", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "top-k-vector-pruning", "path": "skills/top-k-vector-pruning", "category": "efficiency", "name": "top-k-vector-pruning", "description": "How to constrain vector search retrieval to Top-K=2 or 3 high-confidence chunks using cosine similarity thresholds (>0.78) and cross-encoder rerankers, eliminating 70% of RAG context noise.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "top-k-pruning", "vector-search", "similarity-threshold", "reranking", "rag-optimization", "token-efficiency" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "translate-jargon-to-plain-english", "path": "skills/translate-jargon-to-plain-english", "category": "common-sense", "name": "translate-jargon-to-plain-english", "description": "How to translate dense legal, medical, financial, and technical jargon into actionable plain English with the 'So What?' operational impact framework.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "jargon-decoder", "plain-english", "simplification", "medical-translation", "legal-translation", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "treat-ai-answers-as-first-drafts", "path": "skills/treat-ai-answers-as-first-drafts", "category": "common-sense", "name": "treat-ai-answers-as-first-drafts", "description": "How to use AI to conquer the blank page (0 to 80% in 30 seconds) while applying the 4-step Human Finishing Pass to reach 100% polish and authenticity.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "first-drafts", "human-finishing", "quality-control", "authenticity", "editing", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "tree-sitter-scope-extractor", "path": "skills/tree-sitter-scope-extractor", "category": "efficiency", "name": "tree-sitter-scope-extractor", "description": "How to use Tree-sitter concrete syntax trees to extract strictly the enclosing function or class scope (+ imports) for a target line, cutting file inspection tokens by 90%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "tree-sitter", "ast-slicing", "scope-extraction", "code-inspection", "token-optimization", "agent-runtime" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "trello", "path": "skills/trello", "category": "productivity", "name": "trello", "description": "Operational skill for Trello: boards, lists, cards, Power-Ups, Butler automation, and REST API card hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "trello", "kanban", "boards", "butler", "productivity", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "trivy", "path": "skills/trivy", "category": "devops", "name": "trivy", "description": "Operational skill for agents to scan images, filesystems, IaC, and repos with Aqua Trivy - CVE triage, severity gates, and CI fail policies.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "trivy", "security", "cve", "container-scan", "iac", "sbom" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "try-different-angles-if-first-fails", "path": "skills/try-different-angles-if-first-fails", "category": "common-sense", "name": "try-different-angles-if-first-fails", "description": "How to escape conversational deadlocks and unhelpful AI loops using 4 proven Prompt Pivot strategies (Persona, Inversion, Decomposition, Exemplar).", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "prompt-pivot", "troubleshooting", "inversion", "problem-solving", "iterative-prompting", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "turn-complaints-into-polite-replies", "path": "skills/turn-complaints-into-polite-replies", "category": "common-sense", "name": "turn-complaints-into-polite-replies", "description": "How to de-escalate furious customers and protect brand reputation using the 4-part HEAR framework (Hear, Empathize, Action, Reassure).", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "customer-support", "de-escalation", "conflict-resolution", "hear-framework", "empathy", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "type-alias-compression", "path": "skills/type-alias-compression", "category": "efficiency", "name": "type-alias-compression", "description": "How to extract repetitive nested generic signatures into clean top-level type aliases (type APIRes = Promise>), cutting TypeScript/Python type annotation tokens by 45%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "type-aliases", "typescript-types", "generic-compression", "python-typing", "token-optimization", "clean-code" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "typescript", "path": "skills/typescript", "category": "development", "name": "typescript", "description": "Operational skill for TypeScript: strict typing, narrowing, generics, tsconfig, migrating JavaScript safely, and eliminating any-typed boundaries.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "typescript", "types", "generics", "tsconfig", "javascript", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "unity", "path": "skills/unity", "category": "game-engines", "name": "unity", "description": "Operational skill for Claude to automate Unity Editor/runtime with C# scripts, EditorWindow tools, Addressables, URP/HDRP, and CLI batch builds.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "unity", "csharp", "editor-scripting", "urp", "addressables", "batchmode", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "unreal-engine", "path": "skills/unreal-engine", "category": "game-engines", "name": "unreal-engine", "description": "Operational skill for Claude to automate Unreal Engine 5 with Blueprints, C++ modules, Python Editor scripting, BuildCookRun, and Unreal Automation Tool.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "unreal-engine", "ue5", "unreal-python", "blueprints", "uat", "buildcookrun", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "use-bolding-and-bullet-formatting", "path": "skills/use-bolding-and-bullet-formatting", "category": "common-sense", "name": "use-bolding-and-bullet-formatting", "description": "How to use bold key-value anchors (**Constraint**: Value) and bullet hierarchies to maximize transformer attention weights and prevent skipped instructions.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "visual-anchors", "prompt-formatting", "markdown", "attention-weights", "bullet-points", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "use-checklist-format", "path": "skills/use-checklist-format", "category": "common-sense", "name": "use-checklist-format", "description": "How to convert complex procedures, launch plans, and onboarding workflows into executable, phase-gated Markdown checklists (- [ ]) to prevent human error.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "checklists", "pre-flight", "deployment-checklists", "task-execution", "markdown", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "use-fast-models-for-quick-checks", "path": "skills/use-fast-models-for-quick-checks", "category": "common-sense", "name": "use-fast-models-for-quick-checks", "description": "How to route tasks between Fast/Small models (Haiku, Flash, GPT-4o-mini) and Heavy/Frontier models (Sonnet, GPT-4o, o1) to cut costs 90% and slash latency.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "model-routing", "token-economics", "haiku-vs-sonnet", "latency-optimization", "cost-efficiency", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "use-good-answers-as-templates", "path": "skills/use-good-answers-as-templates", "category": "common-sense", "name": "use-good-answers-as-templates", "description": "How to use previous high-performing AI responses as 1-shot structural templates to enforce 100% formatting, tone, and depth consistency across new topics.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "few-shot-templates", "self-exemplar", "cloning", "formatting-consistency", "documentation", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "use-plain-text-over-pdfs", "path": "skills/use-plain-text-over-pdfs", "category": "common-sense", "name": "use-plain-text-over-pdfs", "description": "Why extracting and pasting clean plain text or Markdown beats raw PDF uploads by eliminating OCR latency, visual token bloat (up to 80% savings), and table scrambling.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "pdf-parsing", "plain-text", "token-savings", "ocr-elimination", "efficiency", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "use-simple-analogies", "path": "skills/use-simple-analogies", "category": "common-sense", "name": "use-simple-analogies", "description": "How to anchor abstract software, financial, and scientific concepts in familiar physical systems (kitchens, highways, warehouses) for instant comprehension.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "analogies", "mental-models", "isomorphism", "learning", "simplification", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "use-voice-typing-for-fast-prompts", "path": "skills/use-voice-typing-for-fast-prompts", "category": "common-sense", "name": "use-voice-typing-for-fast-prompts", "description": "How to use voice dictation (150 WPM vs 40 WPM typing) to eliminate context starvation and provide rich, nuanced background in seconds.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "voice-dictation", "brain-dump", "workflow-speed", "context-density", "productivity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "vault", "path": "skills/vault", "category": "devops", "name": "vault", "description": "Operational skill for agents to use HashiCorp Vault for secrets - KV engines, policies, AppRole/K8s auth, dynamic credentials, and safe lease handling.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "vault", "hashicorp", "secrets", "approle", "kv", "encryption" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "vegas-pro", "path": "skills/vegas-pro", "category": "video-editing", "name": "vegas-pro", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize MAGIX VEGAS Pro 21/22, .NET C# Scripting API (ScriptPortal.Vegas), OpenFX (OFX), NVENC GPU acceleration, and batch rendering.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "vegas-pro", "scriptportal-vegas", "csharp-scripting", "openfx-ofx", "nvenc-acceleration", "video-editing", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "velja", "path": "skills/velja", "category": "macos", "name": "velja", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Velja, macOS LaunchServices HTTP handlers, tracking parameter stripping, and browser routing rules.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "velja", "macos-browser-picker", "launchservices", "url-router", "tracking-stripper", "duti", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "ventoy", "path": "skills/ventoy", "category": "cross-platform", "name": "ventoy", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, configure, troubleshoot, and optimize Ventoy multiboot USB drives, UEFI Secure Boot MOK enrollment, and ventoy.json plugin automation.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "ventoy", "multiboot-usb", "iso-bootloader", "uefi-secure-boot", "ventoy-json", "mok-enrollment", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "vercel", "path": "skills/vercel", "category": "development", "name": "vercel", "description": "Operational skill for Vercel deployments: Next.js/frontend project linking, env vars, preview vs production, build settings, and rollout hygiene.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "vercel", "nextjs", "deploy", "edge", "preview", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "verify-names-and-locations", "path": "skills/verify-names-and-locations", "category": "common-sense", "name": "verify-names-and-locations", "description": "Why proper nouns, addresses, and job titles are the #1 source of AI hallucinations, and how to use the 4-Point Entity Verification Ladder to prevent embarrassing mistakes.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "entity-grounding", "named-entities", "hallucination-prevention", "fact-checking", "verification", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "vscode", "path": "skills/vscode", "category": "development", "name": "vscode", "description": "Operational skill for Claude to automate VS Code via tasks, launch configs, extensions API, settings, and CLI (`code`) workflows.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "vscode", "extensions-api", "tasks", "launchjson", "settings", "cli", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "wireguard", "path": "skills/wireguard", "category": "network", "name": "wireguard", "description": "Operational skill for agents to deploy WireGuard VPNs - keys, interfaces, AllowedIPs, NAT traversal notes, and least-privilege peer routing.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "wireguard", "vpn", "networking", "wg", "tunnel", "security" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "wireshark", "path": "skills/wireshark", "category": "cross-platform", "name": "wireshark", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Wireshark, TShark CLI, TLS session decryption, TCP stream reassembly, and Display Filters.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "wireshark", "tshark", "packet-analysis", "tls-decryption", "pcapng", "tcp-reassembly", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "wiztree", "path": "skills/wiztree", "category": "windows", "name": "wiztree", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize WizTree, raw NTFS MFT parsing, CSV storage audit exports, and headless CLI disk space analysis.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "wiztree", "ntfs-mft-parser", "disk-space-analyzer", "treemap-storage", "wiztree-cli", "storage-audit", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "wordpress", "path": "skills/wordpress", "category": "development", "name": "wordpress", "description": "Operational skill for WordPress development: themes, plugins, hooks, WP-CLI, REST API, and hardening against common WP pitfalls.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "wordpress", "php", "plugins", "themes", "wp-cli", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "write-polite-tough-feedback", "path": "skills/write-polite-tough-feedback", "category": "common-sense", "name": "write-polite-tough-feedback", "description": "How to deliver tough, critical performance feedback without triggering defensiveness or resorting to confusing 'feedback sandwiches', using the Situation-Behavior-Impact (SBI) model.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "constructive-feedback", "radical-candor", "sbi-framework", "people-management", "communication", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "write-step-by-step-how-to", "path": "skills/write-step-by-step-how-to", "category": "common-sense", "name": "write-step-by-step-how-to", "description": "How to generate bulletproof Standard Operating Procedures (SOPs) and technical tutorials with exact click paths, expected visual results, and failure troubleshooting.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "sop-creation", "tutorials", "how-to-guides", "documentation", "procedural-clarity", "prompt-engineering" ], "tools": [ "claude", "cursor", "gemini", "codex", "chatgpt" ], "variants": { "gpt": false, "gemini": false } }, { "id": "xcode-ios", "path": "skills/xcode-ios", "category": "development", "name": "xcode-ios", "description": "Operational skill for Xcode iOS development: targets/schemes, simulators, signing & capabilities, SwiftUI/UIKit projects, and archive/export.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "xcode", "ios", "signing", "simulator", "swift", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "zapier", "path": "skills/zapier", "category": "automation", "name": "zapier", "description": "Operational skill for Zapier: Zaps, triggers, actions, Filters/Paths, storage, and error-handling without brittle automations.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "zapier", "automation", "zaps", "integration", "no-code", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": false, "gemini": false } }, { "id": "zbrush", "path": "skills/zbrush", "category": "3d", "name": "zbrush", "description": "Comprehensive operational skill specification for Anthropic Claude to automate, script, troubleshoot, and optimize Maxon ZBrush digital sculpting pipelines, ZScript macros, ZRemesher retopology, and Decimation Master.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "zbrush", "digital-sculpting", "zscript", "zremesher", "decimation-master", "claude" ], "tools": [ "claude", "cursor", "gemini", "codex" ], "variants": { "gpt": true, "gemini": true } }, { "id": "zero-boilerplate-imports", "path": "skills/zero-boilerplate-imports", "category": "efficiency", "name": "zero-boilerplate-imports", "description": "How to eliminate redundant import blocks when displaying localized code patches and diffs, relying on existing file imports and automated CLI import sorters.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "import-optimization", "clean-snippets", "zero-boilerplate", "patching", "token-optimization", "code-review" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "zero-cat-bash-prevention", "path": "skills/zero-cat-bash-prevention", "category": "efficiency", "name": "zero-cat-bash-prevention", "description": "Why autonomous agents must use structured native file viewing tools (view_file) rather than terminal shell commands (cat, type, Get-Content), enabling 1-indexed line numbering and slice bounding.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "zero-cat", "view-file", "native-tools", "line-numbering", "token-optimization", "agent-architecture" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } }, { "id": "zero-explanation-refactoring", "path": "skills/zero-explanation-refactoring", "category": "efficiency", "name": "zero-explanation-refactoring", "description": "How to deliver pure executable code blocks and unified diffs with zero conversational commentary during automated refactoring tasks, enabling direct IDE parsing and cutting output tokens by 65%.", "risk": "safe", "source": "self", "date_added": "2026-08-26", "tags": [ "zero-explanation", "pure-code", "refactoring-pipeline", "token-optimization", "clean-output", "automation" ], "tools": [ "claude", "cursor", "gemini", "codex", "lmstudio" ], "variants": { "gpt": false, "gemini": false } } ]