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agentsop-map-reduce-fanout

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Decision protocol for the map-reduce / dynamic fan-out pattern in LM pipelines — "given list L, run f(item) for each item in parallel, then combine". Activates when the coder agent is about to process N items with N LM calls (per-doc summarize, per-query retrieve, per-candidate rank, parallel tool fan-out). Encodes the *when*, *how many at once*, *what to do when one fails*, and *how to reduce* — not the API of any single framework. Cross-framework: LangGraph `Send`, CrewAI parallel tasks / Flow, `asyncio.gather`, `ThreadPoolExecutor`, LlamaIndex batch retrieval.

skills/agentsop-map-reduce-fanout/SKILL.md

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# Map-Reduce / Dynamic Fan-Out · SOP

> Pattern: `results = reduce(combine, parallel_map(f, L))` where `f` is one
> or more LM calls. The *only* reason to fan out is that latency or
> throughput matters more than the cost of doing it. The *only* reason to
> fan in is that the consumer wants one answer, not N.

> Source posture: claims grounded in primary docs and 2026 production
> write-ups, cited inline with short tags resolved in the citation index.

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## 1. 何时激活 (Activation Rules)