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
- brayandiazc/project-starter-template-en-aitheir own version, first seen Sep 7, 2026
- brayandiazc/project-starter-template-es-aitheir own version, first seen Sep 7, 2026
- dlupiak/claude-session-dashboardtheir own version, first seen Mar 18, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- dlupiak/claude-session-dashboard★ 66same name
- brayandiazc/project-starter-template-es-ai★ 15same name
- brayandiazc/project-starter-template-en-ai★ 2same 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 repository6 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- milestone-retroSkill
- releaseSkill
- review-prSkill
- ship-issueSkill
- ship-prSkill
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
- Distinctive: line 33
Anti-verbosity: Avoid fluff and rambling rationale.
- Distinctive: line 38
Output limits: Keep text between tool calls to ≤25 words.
- Very specific: line 39
Create via gh issue create -t <title> -b <body> --label <type> --label <area> and verify the resulting issue has both labels before …
“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.
Files
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, orfinding) and the closestarea:*label fromgh 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.
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
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.

