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这个仓库中的 skills
Obsidian Vault Integration — Automatically save session logs to your Obsidian vault. Enables persistent AI agent memory across pi sessions.
Show this user guide for Pi coding agent. Use when: user asks how to use pi, pi configuration, available skills, extensions, commands, or needs help getting started.
orchestrate comprehensive repository assessment using parallel specialist analysis
assess AI tool adoption and usage patterns in the team
analyze code review participation and quality by developer
orchestrate comprehensive team assessment using parallel specialist analysis
analyze documentation contributions and patterns by developer
analyze incident response patterns and production contributions by developer
assess code quality contributions by developer
analyze commit message quality and standards compliance
analyze git commit volume and patterns by developer
assess test coverage contributions and patterns by developer
explore repository to infer codebase purpose, domain, and target audience from code alone
evaluate repository AI agent compatibility
analyze repository architecture and structure
analyze CI/CD pipelines and deployment automation
analyze code quality, patterns, and technical debt
analyze security patterns and vulnerabilities
analyze test coverage and quality
Lightweight Context7 library documentation lookup via pi-context7 CLI. Use when user asks for up-to-date library/framework/package docs, APIs, examples, or version-specific usage.
Lightweight Exa semantic web search and URL fetch via pi-exa CLI. Use for broad web discovery, current facts, finding sources, or reading known URLs without loading Exa MCP schemas.
Lightweight Firecrawl web scrape/search/map via pi-firecrawl CLI. Use for web scraping, Firecrawl search, page extraction, sitemap URL discovery, or structured page data when MCP tool schemas are too token-heavy.
Lightweight Sequential Thinking via pi-think CLI. Use for complex planning, debugging, design tradeoffs, or multi-step reasoning without loading Sequential Thinking MCP schema.
Broad semantic internet discovery using already-configured Exa and Firecrawl tools. Use for research topics, seed URLs, or mixed topic+URL requests where the goal is discovering, clustering, ranking, and preserving source material rather than producing a single final factual answer.