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Found 53 Skills
This skill should be used when the user asks to "generate documentation", "validate docs", "check doc coverage", "find missing docs", "create code-map", "sync documentation", "update docs", or needs guidance on documentation generation and validation for any repository type. Triggers: doc, documentation, code-map, doc coverage, validate docs.
Analyze an existing codebase with parallel mapper agents, creating codebase documentation, understanding brownfield projects, or mapping code structure. Triggers include "map codebase", "analyze codebase", "create project context", "document codebase", "understand code", and "codebase map".
Research codebase comprehensively using parallel sub-agents to answer user questions. Use when the user asks to "research the codebase", "understand how X works", or "investigate Y".
Generates comprehensive documentation explaining how a codebase works, including architecture, key components, data flow, and development guidelines. Use when user wants to understand unfamiliar code, create onboarding docs, document architecture, or explain how the system works.
This skill helps users get started with existing (brownfield) projects by scanning the codebase, documenting structure and purpose, analyzing architecture and technical stack, identifying design flaws, suggesting improvements for testing and CI/CD pipelines, and generating AI agent constitution files (AGENTS.md) with project-specific context, coding principles, and UI/UX guidelines.
Regenerates documentation files (agents.md, agent-skills.md, plugins.md, usage.md) from marketplace data using Jinja templates. Use when plugins are added, updated, or removed to keep documentation in sync.
Generate DeepWiki-style repository analysis reports. Deeply analyze codebase architecture, module dependencies, and core systems, outputting structured documentation with Mermaid diagrams, source file references, and tables.
Analyzes, generates, and enhances CLAUDE.md files for any project type using best practices, modular architecture support, and tech stack customization. Use when setting up new projects, improving existing CLAUDE.md files, or establishing AI-assisted development standards.
Analyzes source code to automatically generate technical documentation and architecture diagrams. Use to maintain up-to-date API references and onboarding materials for engineering teams.
Initialize and scaffold a new project with structured requirements gathering. Use when starting a project from scratch, after running a framework initializer (npm init, create-next-app, etc.), or when an existing minimal project needs proper structure, documentation, and conventions. Triggers on: 'bootstrap project', 'start new project', 'scaffold project', 'initialize project', 'setup new project', or when the user wants to go from zero to a well-structured project foundation.
Generate and maintain documentation for code, APIs, and project components
Discover and document domain knowledge from a codebase into a structured knowledge file