rpi

Create git commits with user approval and no Claude attribution

Create handoff document for transferring work to another session

Capture findings or context as a persistent note in the thoughts system

Create detailed implementation plans through interactive research and iteration

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Implement technical plans from ./thoughts/shared/plans with verification

Iterate on existing implementation plans with thorough research and updates

Document codebase as-is with thoughts directory for historical context

Resume work from handoff document with context analysis and validation

Multi-agent PR review with four modes (review, re-review, self-review, address-feedback) - spawns parallel subagents, saves diff to /tmp for context efficiency, supports file exclusion patterns

Initialize thoughts system for current repository

Validate implementation against plan, verify success criteria, identify issues

Analyzes codebase implementation details. Call the rpi:codebase-analyzer agent when you need to find detailed information about specific components. As always, the more detailed your request prompt, the better! :)

rpi:codebase-pattern-finder is a useful subagent_type for finding similar implementations, usage examples, or existing patterns that can be modeled after. It will give you concrete code examples based on what you're looking for!

Need to learn how to use a library, gem, or framework? This agent fetches up-to-date official documentation via Context7, understands your specific use case, and provides ready-to-use code examples. Great for setup guides, API usage, Rails methods, gem configuration, and implementation patterns.

Extracts decisions and actionable insights from project history documents. Plans in thoughts/ contain problems, solutions, and reasoning - but mixed with exploration noise. Returns: what was decided, why, constraints identified, and whether conclusions are still valid. Filters noise, returns only high-value information.

Do you find yourself desiring information that you don't quite feel well-trained (confident) on? Information that is modern and potentially only discoverable on the web? Use the rpi:web-search-researcher subagent_type today to find any and all answers to your questions! It will research deeply to figure out and attempt to answer your questions! If you aren't immediately satisfied you can get your money back! (Not really - but you can re-run rpi:web-search-researcher with an altered prompt in the event you're not satisfied the first time)