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.

針對複雜任務實施 RLM 風格（遞歸語言模型）編排。當面臨大型上下文需求、將從並行執行中受益的多部分任務或當上下文腐爛是一個問題時，應該使用此技能。自動分解任務、生成並行子代理、聚合結果並迭代直至完成。受到 RLM 研究論文 (arXiv:2512.24601) 的啟發。 來源：belumume/claude-skills。

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