Process files too large to fit in context (>100KB, >2000 lines). Uses Python REPL for structural analysis, LLM queries for semantic reasoning, and subagents for final synthesis. Triggers - large file, big document, massive log, full codebase, entire repo, long transcript, context window exceeded.
Quickly install rlm AI skill to your development environment via command line
Source: whamp/pi-rlm.
Large content stays in the REPL environment, not in your context.
The REPL holds the full file in memory. You write Python to analyze it. Only your print() output returns to your context—never raw file content.
Use for: Pattern matching, structure extraction, aggregation, JSON parsing.
Process files too large to fit in context (>100KB, >2000 lines). Uses Python REPL for structural analysis, LLM queries for semantic reasoning, and subagents for final synthesis. Triggers - large file, big document, massive log, full codebase, entire repo, long transcript, context window exceeded. Source: whamp/pi-rlm.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/whamp/pi-rlm --skill rlmProcess files too large to fit in context (>100KB, >2000 lines). Uses Python REPL for structural analysis, LLM queries for semantic reasoning, and subagents for final synthesis. Triggers - large file, big document, massive log, full codebase, entire repo, long transcript, context window exceeded. Source: whamp/pi-rlm.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/whamp/pi-rlm --skill rlm 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/whamp/pi-rlm