agentleFS
MasihMoafiMasihMoafi/skills/contribution-checklist/SKILL.md

contribution-checklist

Skill8 starsChanged 9 days agoMITView on GitHub

Use when preparing or reviewing a contributor issue, call for participation, newsletter submission or related outreach, or answering a reviewer's feedback on one.

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:

    Before submitting, answer the three questions from Nell Shamrell-Harrington's review:

    line 14

≈ “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

Contribution Checklist

Make a contribution request clear to someone who knows neither the project nor the conversation.

State the ask first

Open with who should do what and the expected result; put background after it. Read the destination's current submission guidance and pick the section that fits: an editor publishes an update or link, a developer implements a change, a tester reproduces a behavior. Marketing is an objective, not an implementation task: do not quietly turn it into feature recruitment, and never invent work only to qualify for coverage.

Before submitting, answer the three questions from Nell Shamrell-Harrington's review:

  • What is the ask? One bounded change, its observable result, and what is out of scope.
  • Where does someone start? Current links to the actual files or functions, the shortest setup and reproduction steps, and a first increment proportional to the stated difficulty.
  • Is mentoring available? Who answers questions and reviews changes, or that nobody does. Never promise someone else's time.

Answer reviewer feedback

Answer the reviewer's concrete questions, acknowledge what was unclear, and point to the actual revisions. Do not answer a request for a bounded task with a general wish for traction, stars, or feature parity.

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.