Agent skill

Research Lead Sidecar

by cnfjlhj in cnfjlhj/ai-collab-playbook

A skill your agent uses 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.

No licenceAuto-check passedDevelopment

Install Research Lead Sidecar

skills CLI
$ npx skills add cnfjlhj/ai-collab-playbook --skill research-lead-sidecar -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cnfjlhj/ai-collab-playbook research-lead-sidecar --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cnfjlhj/ai-collab-playbook.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/full/research-lead-sidecar .claude/skills/research-lead-sidecar && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-lead-sidecar
GitHub stars
454
Token cost
~842 tokens
SKILL.md length
449 words
Files
10 (incl. scripts, references, assets)
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses 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.

  • Tasks that involve Refactoring
  • SKILL.md covers Overview, Rules, When to Use and Execution Contract, plus 1 more section
  • Runs Python scripts from its folder

What it does

Research Lead Sidecar is an agent skill from cnfjlhj/ai-collab-playbook. 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.

Its SKILL.md is about 840 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `references/dispatch-prompts.md` and `references/role-routing.md`).

It sits in Development, covering Refactoring. The repository describes itself as: Practical AI collaboration playbook for research, writing, reading, and coding: article, prompts, agent rules, and reusable skills.

When your agent uses it

  • Tasks that involve Refactoring

Example prompts

  • “/research-lead-sidecar”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit b3ee0d6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Lead Sidecar loads about 842 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 449 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~842
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 449 words (~842 tokens).

“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.”

— opening of SKILL.md by cnfjlhj
name
research-lead-sidecar

Read the full SKILL.md on GitHub

Files

SKILL.md and 9 other files (scripts, references, assets) in skills/full/research-lead-sidecar of cnfjlhj/ai-collab-playbook.

  • SKILL.md
  • agents/openai.yaml
  • assets/findings.md.tpl
  • assets/progress.md.tpl
  • assets/research-state.yaml.tpl
  • references/dispatch-prompts.md
  • references/role-routing.md
  • references/worker-handoff-template.md
  • references/workspace-files.md
  • scripts/init_workspace.py

Open the folder on GitHubat commit b3ee0d6

Compare with similar skills

Research Lead Sidecar next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Filescope MCPadmica/FileScopeMCP302—~1.7kAutomated safety check: PassProprietary
Gograph Go Repository Intelligenceozgurcd/gograph229—~4.8kAutomated safety check: NotesMIT
Auto DevflowHuangPuStar/FenixAgent552—~3kAutomated safety check: PassApache-2.0
Skill Writingmillionco/expect3.6k—~1.8kAutomated safety check: PassCustom licence

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Questions about Research Lead Sidecar

What does Research Lead Sidecar do?

A skill your agent uses 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. Research Lead Sidecar is an agent skill from cnfjlhj/ai-collab-playbook. 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.

When should I use Research Lead Sidecar?

Research Lead Sidecar fits situations like: tasks that involve Refactoring.

How do I install Research Lead Sidecar in Claude Code?

Run `npx skills add cnfjlhj/ai-collab-playbook --skill research-lead-sidecar -a claude-code`. Or copy the skill folder (skills/full/research-lead-sidecar in cnfjlhj/ai-collab-playbook) into .claude/skills/research-lead-sidecar in your project. Claude Code loads it when a task matches its description.

How do I install Research Lead Sidecar in Codex?

Run `npx skills add cnfjlhj/ai-collab-playbook --skill research-lead-sidecar -a codex`. Or copy the skill folder (skills/full/research-lead-sidecar in cnfjlhj/ai-collab-playbook) into .agents/skills/research-lead-sidecar in your project. Codex loads it when a task matches its description.

Can I use Research Lead Sidecar in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cnfjlhj/ai-collab-playbook --skill research-lead-sidecar -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-lead-sidecar, .gemini/skills/research-lead-sidecar, .github/skills/research-lead-sidecar and .opencode/skills/research-lead-sidecar in your project.

What does Research Lead Sidecar need to run?

Going by SKILL.md and its folder, Research Lead Sidecar needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Research Lead Sidecar access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research Lead Sidecar safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Research Lead Sidecar use?

No licence was found for Research Lead Sidecar or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Research Lead Sidecar use?

About 842 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Research Lead Sidecar?

Skills that share tags, products or a category with Research Lead Sidecar: Migrate Core Code to Submodules (tinyhumansai/openhuman, 42k stars), Filescope MCP (admica/FileScopeMCP, 302 stars), Gograph Go Repository Intelligence (ozgurcd/gograph, 229 stars) and Auto Devflow (HuangPuStar/FenixAgent, 552 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Lead Sidecar?

cnfjlhj (a GitHub user) maintains it in cnfjlhj/ai-collab-playbook, which has 454 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on September 14, 2026.

Source: cnfjlhj/ai-collab-playbook on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.