agentleFS
Sign inStart free
enunoenuno/unifi-mcp-server/.agents/skills/source-command-lint/SKILL.md

source-command-lint

Skill294 starsChanged 18 days agoApache-2.0View on GitHub

Run all linters and code quality checks

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    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:

    Use this skill when the user asks to run the migrated source command lint.

    line 8
  2. Distinctive:

    Run comprehensive code quality checks on the project.

    line 12
  3. Distinctive:

    If there are issues, ask if I should auto-fix them.

    line 29

≈ “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

source-command-lint

Use this skill when the user asks to run the migrated source command lint.

Command Template

Run comprehensive code quality checks on the project.

Execute the following checks:

  1. Black formatting check: black --check src/ tests/
  2. isort import sorting check: isort --check-only src/ tests/
  3. Ruff linting: ruff check src/ tests/
  4. MyPy type checking: mypy src/

Report back with:

  • List of any formatting issues
  • Import sorting problems
  • Linting errors or warnings
  • Type checking errors
  • Suggested fixes for any issues found

If there are issues, ask if I should auto-fix them.

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