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sampleXbrosampleXbro/agentsmesh/.agents/skills/am-command-commit/SKILL.md

am-command-commit

Skill27 starsChanged 2 months agoMITView on GitHub

Create a conventional commit/s from current changes

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If the user requests edits to the message, adjust and re-commit.

    line 25

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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

Review the current git changes (staged and unstaged) and:

  1. Analyze changes — Understand what was modified (files, scope, intent)
  2. Propose a conventional commit message — Format: type(scope): message
    • Types: feat, fix, test, refactor, docs, chore, perf, ci
    • Scope: affected area (e.g. engine, cursor, config)
    • Message: imperative, lowercase, no period
  3. Stage if needed — Stage relevant files (ask before git add . if many files)
  4. Commit — Run git commit -m "..." with the proposed message

If the user requests edits to the message, adjust and re-commit. Do not amend without explicit request.

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Does it work?

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

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  • 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