context7
Retrieve up-to-date documentation and code examples from Context7. Use when you need library/framework documentation or API examples.
Discover testing security knowledge base skills, compare source repositories and read the instructions for each workflow.
Retrieve up-to-date documentation and code examples from Context7. Use when you need library/framework documentation or API examples.
文档模板集合;创建Wiki或方案包文件时读取;包含所有知识库模板和方案文件模板
General skill authoring and improvement. Use when creating or updating any skill (with or without MCP), selecting structure, generating scaffolds, or packaging resources (scripts/references/assets/templates) th...
Bidirectional planning for ambiguous or design-heavy tasks. Use when the user requests help breaking down a problem or formulating a plan, and also when an existing plan has too many gaps or needs refinement; c...
Generates optimized prompts for AI professional developers through interactive clarification. Asks targeted questions to refine requirements, saves tokens, and ensures reliable outputs. Use when seeking the bes...
Create a plan for fixing a bug
Project documentation with MkDocs Material - consistent structure, API auto-generation, GitHub Pages deployment
Hierarchical machine-readable documentation - root CLAUDE.md with module index, per-module CLAUDE.md for significant modules
Find and fix bugs systematically. Use when encountering errors, test failures, or unexpected behavior. Hypothesis-driven debugging to locate root causes and implement minimal fixes.
Generates comprehensive documentation including README, docstrings, and API docs. Use when creating documentation, writing README files, or adding code comments.
Systematic debugging approach for identifying and fixing issues. Use when debugging, troubleshooting errors, or asking about bugs and problems.
Multi-disciplinary strategy council with 5 expert personas. Use for strategic analysis, impact assessment, complex decisions requiring diverse expertise. Includes cross-examination to identify contradictions be...
Tree of Thoughts exploration for brainstorming and finding unknown unknowns. Recursively branches hypotheses, ranking by NOVELTY not probability. Use for idea generation, creative unblocking, exploring possibil...
Adversarial research validation using Red Team/Blue Team methodology. Use when researching complex topics, fact-checking claims, or producing research reports. Validates outputs through Gemini 3 Pro critic befo...
3x3 Parallel Debate system for high-confidence research. Spawns 9 agent instances (3 Proposer/Skeptic/Judge cohorts) to argue, critique, and adjudicate claims. Use for complex queries, controversial topics, or...
Guidelines for clear technical writing and documentation.
Surface emergent patterns and insights from the AI-ready vault memory system. Use periodically to discover connections between memories, identify recurring themes, and generate meta-insights that aren't obvious...
Search the AI-ready vault memory system by keyword or concept. Use when needing to retrieve previously stored information, find past decisions, or locate relevant context from earlier sessions.
Writes feature specification documents from user requirements. Use when asked to write a spec, create a spec, draft a feature spec, or document a new feature.
Writes feature specification documents from user requirements. Use when asked to write a spec, create a spec, draft a feature spec, or document a new feature.
Explore codebase, understand architecture, find how things work. Navigate unfamiliar repositories, discover code structure, find where functionality lives by intent rather than exact text. NOT for debugging fai...
This skill should be used when the user asks to "create a skill", "write a skill", "build a skill", "author a skill", "improve a skill description", "make my skill better", or needs guidance on skill structure,...
Initialize a new problem tree for recursive problem solving. Use when the user wants to set up a new problem to solve using the tree decomposition approach.
Personalize textbook chapter content for logged-in users based on their background, preferences, and learning style collected during signup.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.