rlm-mode

What problem does it solve?

This Skill addresses the core problem of context window overflow and degraded performance that occurs when attempting to process entire codebases or large directory trees, enabling efficient large-scale operations.

Core Features & Use Cases

• Decomposition: Breaks down complex tasks into smaller, manageable chunks for processing.
• Chunked Processing: Processes files or directories in batches to avoid exceeding model limits.
• Result Aggregation: Combines results from individual chunks into a coherent final output.
• Use Case: Automatically refactoring all JavaScript files in a large project to use a new coding standard without overwhelming the AI's context window.

Quick Start

Use the rlm-mode skill to find all instances of console.log across the entire project.