Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/cnfjlhj/ai-collab-playbook/tree/main/skills/full/research-lead-sidecar
SKILL.md
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
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
paperreview
Use when the user explicitly wants to upload a final or near-final PDF to paperreview.ai for an external second opinion. Skip this for local paper critique, which should go through `paper-review-pipeline` first.
skill-governance-loop
Use when the user asks to review a skill, analyze skill quality, update a skill version, or run a repeatable keep/disable/archive decision loop from real failures instead of abstract best practices.
academic-paper-helper
学术论文写作助手,专门用于 LaTeX 论文编写、BibTeX 管理、格式化、学术写作规范检查。适用于 AI/ML 研究论文、会议投稿(NeurIPS、ICML、ICLR 等)
collaborating-with-claude
Use when you want Claude Code CLI as a second opinion for coding tasks such as design tradeoffs, debugging, or diff review, while keeping Codex as the primary implementer.
proactive-explorer
落实 CLAUDE.md / AGENTS.md 中的“主动探索”原则,在向用户提问前自动使用 Grep、Read、Bash、WebSearch 等工具获取信息
writing-anti-ai
This skill should be used when the user asks to "remove AI writing patterns", "humanize this text", "make this sound more natural", "remove AI-generated traces", "fix robotic writing", or needs to eliminate AI writing patterns from prose. Supports both English and Chinese text. Based on Wikipedia's "Signs of AI writing" guide, detects and fixes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, AI vocabulary, negative parallelisms, and excessive conjunctive phrases.
Didn't find tool you were looking for?