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setup-agents

Skill71 starsChanged 8 days agoApache-2.0View on GitHub

Scaffold a multi-agent AI setup for any repo. Scans the codebase, interviews the developer, generates agent configs for whichever AI tools the repo uses (Copilot, Claude Code, Cursor, Codex, Windsurf). Use when asked to "set up agents", "scaffold Copilot agents", or "create an AGENTS.md".

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    After any mode: log non-obvious findings with /platform-skills:self-improve log.

    line 37

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Scaffold a multi-agent AI configuration for any repo — any language, any framework.

Policy, not config: to control what these tools are allowed to do once configured (protected paths, dangerous commands, a merge-time backstop), use /platform-skills:ai-governance.

Reference index: references/setup-agents.md — read this first. It routes to mode-specific files.

Modes

  • generate — fresh setup: ranked scan, interview, roster decision, generate all files
  • upgrade — re-scan, read metadata from last session, git-diff, patch what's stale
  • add — add one new agent without re-running the full interview
  • review — quality check on 6 dimensions, output options at end

Interactive wizard (no args)

What do you need?
  generate — fresh setup
  upgrade  — patch what's stale since last update
  add      — add one new agent
  review   — quality check, no writes

Then load the appropriate reference file and follow its steps exactly.

Closing

After any mode: log non-obvious findings with /platform-skills:self-improve log.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free