agentleFS
agentdecksdkagentdecksdk/agentdeck/.claude/skills/open-issue/SKILL.md

open-issue

Skill4 starsChanged 2 months agoMITView on GitHub

File a well-formed agentdeck GitHub issue in the repo's house style (Problem / Proposed shape / Notes / Done when).

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.

    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 repository6 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 2

    Distinctive

    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. Distinctive:

    Anti-verbosity: Avoid fluff and rambling rationale.

    line 33
  2. Distinctive:

    Output limits: Keep text between tool calls to ≤25 words.

    line 38
  3. Very specific:

    Create via gh issue create -t <title> -b <body> --label <type> --label <area> and verify the resulting issue has both labels before …

    line 39

“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

Open an agentdeck issue

Issues are implementation-ready specifications. Be concise, precise, and dense with signal.

Issue Structure

## Problem
What is broken or missing, and why it matters. For bugs: exact traceback and minimal reproduction steps.

## Proposed shape
The clean, user-intent API or behavior with minimal code snippets. Show the simplest path with zero leaked plumbing. Explicitly state what is out of scope. For a feature, answer Q4 here (`docs/engineering/principles.md`): is this absorbing complexity, or transferring it to the user? That is the question we most often fail, and proposal time is when it is cheapest to fail it.

## Notes
Constraints, affected modules, existing patterns to follow, related issues/PRs.

## Pitfalls
Known failure modes, each backed by evidence.

## Must not
Explicit scope boundaries.

## Done when
Checklist of observable, testable behaviors (mapping 1:1 to deterministic tests without live model calls).

Rules

  • Anti-verbosity: Avoid fluff and rambling rationale. One clear sentence beats a paragraph.
  • Title: Terse and specific: <area>: <what> (e.g., runtime: propagate cancellation to subagents).
  • Single concern: One issue per topic; split unrelated asks.
  • Check duplicates: gh issue list --state open.
  • Labels: Select one type label (bug, enhancement, feature, chore, design, documentation, or finding) and the closest area:* label from gh label list.
  • Output limits: Keep text between tool calls to ≤25 words. Keep final responses to ≤100 words unless more detail is required.
  • Create via gh issue create -t <title> -b <body> --label <type> --label <area> and verify the resulting issue has both labels before returning its URL.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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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.