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Jinshi1945Jinshi1945/claude_code_RLM/CLAUDE.md

claude_code_RLM

CLAUDE.md1 starsChanged 9 months agoMITView on GitHub

This repository includes a minimal "Recursive Language Model" (RLM) setup for Claude Code: - Skill: rlm in .claude/skills/rlm/ - Subagent (sub-LLM): rlm-subcall in .claude/agents/ - Persistent Python REPL: .claude/skills/rlm/scripts/rlm_repl.py When the user needs you to work over a context that is too large to paste into chat: 1) Ask for (or locate) a context file path. 2) Run the /rlm Skill and follow its procedure. Keep the main conversation light: use the REPL and subagent to do chunk-level work, then…

  • In this repositoryOne other file it gives its agents.

The file

We split this CLAUDE.md into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When the user needs you to work over a context that is too large to paste into chat:

    line 10
  2. Distinctive:

    Ask for (or locate) a context file path.

    line 11
  3. Very specific:

    Run the /rlm Skill and follow its procedure.

    line 12
  4. Distinctive:

    Keep the main conversation light: use the REPL and subagent to do chunk-level work, then synthesise.

    line 14

≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
CLAUDE.md

Project instructions

RLM mode for long-context tasks

This repository includes a minimal "Recursive Language Model" (RLM) setup for Claude Code:

  • Skill: rlm in .claude/skills/rlm/
  • Subagent (sub-LLM): rlm-subcall in .claude/agents/
  • Persistent Python REPL: .claude/skills/rlm/scripts/rlm_repl.py

When the user needs you to work over a context that is too large to paste into chat:

  1. Ask for (or locate) a context file path.
  2. Run the /rlm Skill and follow its procedure.

Keep the main conversation light: use the REPL and subagent to do chunk-level work, then synthesise.

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Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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