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.

针对复杂任务实施 RLM 风格（递归语言模型）编排。当面临大型上下文需求、将从并行执行中受益的多部分任务或当上下文腐烂是一个问题时，应该使用此技能。自动分解任务、生成并行子代理、聚合结果并迭代直至完成。受到 RLM 研究论文 (arXiv:2512.24601) 的启发。 来源：belumume/claude-skills。

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