rlm

What problem does it solve?

This Skill enables fast analysis of very large codebases by treating the filesystem as a database and orchestrating multiple agents to read, map, and reduce insights without degrading context.

Core Features & Use Cases

• Parallel background agents read and process code files in isolation, enabling scalable analysis of large repositories.
• Two operating modes (Native Mode for speedy traversal and Strict Mode for dense data processing) to cover different workloads.
• The pipeline (Index → Filter → Map → Reduce) yields structured insights from millions of lines of code without overwhelming the active context.
• Use case: identify architectural patterns, security vulnerabilities, or code smells across hundreds of files.

Quick Start

Ask Claude to enable the RLM skill and start analyzing a large repository for architecture or security insights.