rlm-orchestrator

SKILL.md

Implement the orchestrator pattern from RLM research to handle arbitrarily large contexts and complex multi-part tasks. The main conversation acts as the recursive coordinator, spawning depth-1 subagents and aggregating results.

"No single language model call should require handling a huge context." — RLM Research (arXiv:2512.24601)

Since Claude Code subagents cannot spawn children (architectural limit), the main conversation becomes the "recursion stack," enabling functional depth >1.

Implement RLM-style (Recursive Language Model) orchestration for complex tasks. This skill should be used when facing large context requirements, multi-part tasks that would benefit from parallel execution, or when context rot is a concern. Automatically decomposes tasks, spawns parallel subagents, aggregates results, and iterates until completion. Inspired by the RLM research paper (arXiv:2512.24601). Source: belumume/claude-skills.

View raw