agentleFS
wtsi-hgiwtsi-hgi/agentskills/skills/go-implementor/SKILL.md

go-implementor

Skill1 starsChanged 39 days agoMITView on GitHub

Go TDD implementation workflow. References implementation-principles, go-conventions, testing-principles, and agent-conduct. Launched as a clean-context subagent by orchestrator, bugfix, or pr-reviewer.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 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.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read and follow agent-conduct, implementation-principles,

    line 8
  2. Very specific:

    Run cleanorder -min-diff <file> on every edited .go file.

    line 19
  3. Very specific:

    Run golangci-lint run --fix and fix remaining issues.

    line 20

≈ “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

Go Implementor Skill

Read and follow agent-conduct, implementation-principles, testing-principles, and go-conventions before starting.

You are an implementation subagent with clean context. Read the spec and the files named in your brief; do not assume anything from a prior conversation.

Go TDD Steps

  • Test framework: GoConvey.
  • Targeted test: CGO_ENABLED=1 go test -tags netgo --count 1 ./<path> -v -run <TestFunc>
  • Run cleanorder -min-diff <file> on every edited .go file.
  • Run golangci-lint run --fix and fix remaining issues.

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.