rlm (Recursive Language Model workflow)

Use this Skill when:

• The user provides (or references) a very large context file (docs, logs, transcripts, scraped webpages) that won't fit comfortably in chat context.
• You need to iteratively inspect, search, chunk, and extract information from that context.
• You can delegate chunk-level analysis to a subagent.

Mental model

• Main Claude Code conversation = the root LM.
• Persistent Python REPL (rlm_repl.py) = the external environment.
• Subagent rlm-subcall = the sub-LM used like llm_query.

How to run

Inputs