agentleFS
Sign inStart free
Agroecology-LabAgroecology-Lab/feldfreund_devkit_ros/skills/python-coding/SKILL.md

python-coding

Skill101 starsChanged 53 days agoMITView on GitHub

Use this skill whenever you write or modify Python code in this repository.

3 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. jenreh/appkit★ 4same name
    2. fclabs/skills★ 1same name
    3. Himeyama/DESIGN★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repositoryOne other file it gives its agents.

The file

We split this skill into the rules it gives an agent

8 rules. 0 are common, 5 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill whenever you write or modify Python code in this repository.

    line 3
  2. Very specific:

    Run source skills/python-coding/activate_venv.sh before running Python commands.

    line 7
  3. Very specific:

    Use the virtual environment in .venv for all Python tooling and tests.

    line 8
  4. Very specific:

    Follow project standards in CONTRIBUTING.md and AGENTS.md.

    line 12
  5. Distinctive:

    Keep code simple, focused, and readable.

    line 13
  6. Distinctive:

    Prefer small functions with clear names and explicit error handling.

    line 14
  7. Distinctive:

    Add or update tests when behavior changes.

    line 15
  8. Distinctive:

    Only commit when both commands succeed.

    line 22

“Common” is measured: kept by at least 6 in 10 of the 3 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

Python Coding

Use this skill whenever you write or modify Python code in this repository.

Environment setup

  1. Run source skills/python-coding/activate_venv.sh before running Python commands.
  2. Use the virtual environment in .venv for all Python tooling and tests.

How to write Python code here

  • Follow project standards in CONTRIBUTING.md and AGENTS.md.
  • Keep code simple, focused, and readable.
  • Prefer small functions with clear names and explicit error handling.
  • Add or update tests when behavior changes.
  • Reuse existing patterns in the codebase before introducing new abstractions.

Required checks before commit

  1. Run make lint.
  2. Run make test.
  3. Only commit when both commands succeed.

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