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research-lead-sidecarlisted

Use when the user wants multi-agent division of labor for research-led work and the lead should stay on the critical path while 1-2 bounded sidecars handle low-coupling tasks. Do not use this for tiny tasks, fully sequential debugging, or overlapping refactors.
cnfjlhj/ai-collab-playbook · ★ 358 · Code & Development · score 76
Install: claude install-skill cnfjlhj/ai-collab-playbook
# Research Lead Sidecar ## Overview Use this skill for research-led work where implementation and evidence gathering are coupled, but the main agent should remain the lead. It keeps the critical path local while bounded sidecars handle non-blocking scout, worker, verifier, or writer tasks. ## Rules - Keep the lead responsible for framing, synthesis, and final decisions. - Delegate only tasks that are non-blocking, bounded, inspectable, and recoverable. - Prefer 1-2 sidecars with clear roles instead of spawning a crowd by default. - The lead should keep moving on the critical path instead of waiting idly for sidecars. - Use milestone verification and durable workspace state only when the task span justifies them. ## When to Use Use when: - the user explicitly wants 多智能体分工, research-led multi-agent work, or long-task governance with a lead agent - there is one critical path plus a small number of low-coupling side tasks - sidecars can return artifacts the lead can inspect quickly Do not use when: - the task is tiny, fully sequential, or blocked on each previous result - several agents would need to touch the same hot files or same narrow context - handoff cost is higher than simply doing the work locally