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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.