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Subagent Orchestration

🔵 Stable🕐 updated 2026-07-03 🔷 SkillSpec L3 pm-method

Decompose work across parallel subagents properly — task slicing that avoids collisions, briefs that stand alone, and result integration that catches contradictions. Use when work can genuinely parallelise (research fan-outs, multi-file changes, independent analyses), when deciding whether to delegate or do it yourself, or when past multi-agent runs produced conflicts and duplicated effort. Produces an orchestration plan: the parallel/sequential split, per-agent briefs, and the integration protocol.

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✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

The delegate-vs-do decision was made explicitly, with the brief-writing cost counted
No two parallel lanes write to the same artifact
Every brief contains its territory, its must-not-touch, and a stop condition
Shared assumptions were pinned before dispatch, not discovered at merge
Integration verifies the composed whole, not just each part

⚠️ What it refuses to do

Do not parallelise for the feeling of speed — two colliding agents are slower than one sequential pass
Do not write briefs that reference your context ("as discussed", "the usual way") — subagents weren't in the room
Do not average contradictory results — a contradiction is a defect to resolve, with a cause
Do not merge everything then verify once — verify at each join while causes are still traceable
Do not delegate the judgment-bearing core (the decision, the synthesis, the taste) — delegate the legwork around it

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

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<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

Subagent Orchestration is one of 599 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog