🔍 Rlm
This skill helps you analyze and refactor large codebases by recursively processing code with grep, find, and uv while maintaining context externally.
npx playbooks add skill petermcneil/rlm --skill rlm
About Rlm
This skill helps you analyze and refactor large codebases by recursively processing code with grep, find, and uv while maintaining context externally.
Its 22-word system prompt specializes your agent in code review & quality with structured methodology and proven output formats. Install with one command to activate immediately.
Use Cases
- Catching bugs and security vulnerabilities before merge
- Enforcing code style and architectural consistency
- Reviewing PRs for performance and maintainability
- Generating detailed code review comments
Example Prompts
System Prompt (22 words)
This skill helps you analyze and refactor large codebases by recursively processing code with grep, find, and uv while maintaining context externally.
Frequently Asked Questions
What is Rlm?
Rlm is a free code review & quality skill for AI coding agents. This skill helps you analyze and refactor large codebases by recursively processing code with grep, find, and uv while maintaining context externally.. It provides a specialized system prompt that configures your agent with code review & quality expertise.
How do I use Rlm with Claude Code?
Run npx playbooks add skill petermcneil/rlm --skill rlm in your terminal to install Rlm into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Rlm?
Rlm is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Rlm free to use?
Yes, Rlm is completely free and open source. The full source is available on GitHub at https://github.com/petermcneil/rlm/tree/main/SKILL.md. You only need a subscription to the AI agent you use it with.
