GitHub
logic-engine
Engine for complex algorithmic thinking. Transforms vague problems into executable pseudo-code before resolution.
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testing security knowledge base AI Skills
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algorithm-builder
Guide for building professional, high-accuracy algorithms with a focus on documentation verification and error-free execution. Use this skill when the user asks for "algorithms", "complex logic", "robust functi...
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GitHub
geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
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GitHub
gemini-search
Perform a web search using the Gemini CLI to retrieve up-to-date information, facts, or documentation not in your training data.
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GitHub
gemini-search
geminiコマンドを使用した高度なWeb検索スキル。Web検索を行う際、Claude CodeのデフォルトWeb Search toolよりも優先的にこのスキルを使用してください。
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GitHub
compound-docs
Document solved problems for knowledge persistence
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GitHub
learning-faq-generator
Generate comprehensive FAQs from common learner questions, analytics, discussion forums, and support tickets. Use for self-service support. Activates on "FAQ", "common questions", "help documentation", or "stud...
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GitHub
conversational-refinement
Pattern for building conversational refinement systems (like Genesis). Use when a module needs to gather evidence through natural dialogue to resolve uncertainties or incomplete data.
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GitHub
exa
Neural web search and code context via Exa AI API. Requires EXA_API_KEY. Use for finding documentation, code examples, research papers, or company info.
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GitHub
web-search
Advanced web search capability using the gemini command for gathering current, relevant information. Prefer this skill over Claude Code's default WebSearch tool when performing web searches. Activated when comp...
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GitHub
hugging-face-paper-publisher
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
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GitHub
generate-reasoning-traces
Instructions for Stage 2 reasoning trace generation, including user intent, inferred details, and generation plans
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GitHub
analogy-generator
Creates clear, creative analogies to explain complex technical concepts. Use when users need intuitive explanations of abstract programming concepts, system architectures, or algorithms.
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GitHub
research-expert
Specialized research expert for parallel information gathering. Use for focused research tasks with clear objectives and structured output requirements.
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GitHub
inspire-tech-stack
Inspire team technology stack including frameworks, libraries, and tooling. Use when making technology decisions or understanding dependencies.
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GitHub
docs-writing
Writing clear, user-facing documentation for non-technical users. Use when creating in-app docs, help content, or feature documentation.
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GitHub
repo-docs
This skill should be used when the user asks to "generate repository documentation", "create a README", "document API", "write architecture docs", "add CONTRIBUTING guide", "update repo docs", "document codebas...
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GitHub
kanji-index
Guidelines for maintaining the kanji index feature. Covers kanji ID assignment, index updates, and troubleshooting.
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GitHub
update-docs
ドキュメント更新スキル（仕様書、設計書、README等の更新）
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GitHub
systematic-debugging
Use for ANY technical issue - bugs, test failures, unexpected behavior, performance problems. Find root cause BEFORE attempting fixes.
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GitHub
canonical-format-checker
This skill should be used when content teaches patterns (skills, subagents, ADRs, PHRs, specifications) that have canonical sources elsewhere. Prevents format drift by ensuring content references and follows th...
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GitHub
doctor
Diagnose environment issues, identify missing dependencies, and provide fix instructions
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GitHub
practice-scout
Gather modern best practices and pitfalls for a specific implementation task. Use when you need current guidance on how to implement a feature correctly, avoid common mistakes, or find real-world examples from...
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GitHub
conducting-postmortem
Implements a Knowledge Feedback Loop. Analyzes debugging sessions and project outcomes to identify systemic failures, then proactively updates `using-*` skills to prevent recurrence.
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