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research-lead-sidecar

Research
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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.

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Source SKILL.md: https://github.com/cnfjlhj/ai-collab-playbook/blob/HEAD/skills/full/research-lead-sidecar/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

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