research-lead-sidecar
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.
Best use case
research-lead-sidecar is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using research-lead-sidecar should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/research-lead-sidecar/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How research-lead-sidecar Compares
| Feature / Agent | research-lead-sidecar | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# 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
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