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FabienGreardFabienGreard/TouchGrassBar/.agents/skills/implement/SKILL.md

implement

Skill4 starsChanged 54 days agoMITView on GitHub

Implement a piece of work based on a spec or set of tickets.

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 140 edited versions we read keep these.

  • 3

    Distinctive

    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:

    Use /tdd where possible, at pre-agreed seams.

    line 9
  2. Distinctive:

    Run typechecking regularly, single test files regularly, and the full test suite once at the end.

    line 11
  3. Distinctive:

    Commit your work to the current branch.

    line 15

“Common” is measured: kept by at least 6 in 10 of the 140 edited versions of this file we could read. “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

Implement the work described by the user in the spec or tickets.

Use /tdd where possible, at pre-agreed seams.

Run typechecking regularly, single test files regularly, and the full test suite once at the end.

Once done, use /code-review to review the work.

Commit your work to the current branch.

Download now (ZIP)

Trending

Cooling: 4 new projects took it in the last 4 weeks, 0.7× the 4 weeks before.thin data

Week of Aug 30: 1 new projectWeek of Sep 6: 1 new projectWeek of Sep 13: 2 new projectsWeek of Sep 20: 2 new projectsWeek of Sep 27: 2 new projectsWeek of Oct 4: 1 new projectWeek of Oct 11: 1 new projectWeek of Oct 18: 0 new projects
Aug 2026Sep 2026Oct 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 10 in all, so this is a hint, not a trend.

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