Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback.
Quickly install reviewing-code AI skill to your development environment via command line
Source: jlowin/fastmcp.
Code review maintains a healthy codebase while helping contributors succeed. The burden of proof is on the PR to demonstrate it adds value. Your job is to help it get there through actionable feedback.
Critical: A perfectly written PR that adds unwanted functionality must still be rejected. The code must advance the codebase in the intended direction. When rejecting, provide clear guidance on how to align with project goals.
Be friendly and welcoming while maintaining high standards. Call out what works well. When code needs improvement, be specific about why and how to fix it.
Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback. Source: jlowin/fastmcp.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/jlowin/fastmcp --skill reviewing-codeReview code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback. Source: jlowin/fastmcp.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/jlowin/fastmcp --skill reviewing-code Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/jlowin/fastmcp