writing-issues
Skill0 starsChanged yesterdayMITView on GitHub
Draft or revise an issue, bug report, or feature request with
2 other projects use a version of this.
Adopted by
Most recently taken up by
- mkrz/skillstheir own version, first seen Nov 15, 2026
- joshdaugherty/claude-skillstheir own version, first seen Sep 2, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- mkrz/skills★ 2same name
- joshdaugherty/claude-skills★ 1same 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 repository34 other files it gives its agents.
- astroSkill
- bun-standardsSkill
- postgresSkill
- react-engineeringSkill
- rust-standardsSkill
- spring-bootSkill
- tailwind-v4Skill
- typescript-standardsSkill
- vitest-testingSkill
- api-designSkill
- architecture-reviewSkill
- benchmark-readiness-reviewSkill
- cli-designSkill
- codebase-scoutingSkill
- code-review-findingsSkill
- config-projection-reviewSkill
- documentation-hygieneSkill
- domain-modelingSkill
- formal-verificationSkill
- implementation-planningSkill
- orchestration-workflowSkill
- problem-clarificationSkill
- product-copySkill
- refactorSkill
- repository-text-hygieneSkill
- researchSkill
- security-scope-reviewSkill
- setup-canastaSkill
- system-designSkill
- task-closeoutSkill
- tddSkill
- technical-writingSkill
- upstream-contributionSkill
- writing-prSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
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
- Very specific: line 14
Use for issue titles and bodies.
- Distinctive: line 18
Read the request, relevant evidence, repository contribution rules, and the applicable issue template.
- Distinctive: line 36
When breaking a plan into several issues, write one per independently verifiable slice (see implementation-planning), describe the …
- Distinctive: line 42
Follow the repository template, including instructions to omit inapplicable sections.
≈ “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.
Files
Writing Issues
Use for issue titles and bodies. Use technical-writing for prose and examples;
use problem-clarification only when missing information materially affects the
issue. Writing a draft does not require implementing the proposed solution.
- Read the request, relevant evidence, repository contribution rules, and the applicable issue template. Check related issues and work when accessible; distinguish a duplicate from a related problem. Do not invent tracker IDs, labels, priority, links, or checks. State an unavailable material source once.
- Name the problem or desired capability in the title. Open with who or what is affected, the trigger or unmet need, and why it matters. Describe current and desired behavior in terms someone can observe without this conversation.
- For a bug, give the smallest known reproduction, relevant environment or revision, expected versus actual result, and supporting evidence. Say when the report has not been reproduced. Keep suspected causes and proposed fixes separate from observations; a plausible explanation is not a diagnosis.
- For a feature, explain the use case and constraints. Include a proposed solution only when useful and label its decision status. Do not turn an initial request into a committed architecture or an implementation inventory.
- State observable acceptance criteria that distinguish success from the current problem. For an investigation, name the question and evidence needed to resolve it instead of promising a fix. Include scope boundaries, dependencies, or open decisions only when they prevent a material misunderstanding.
- When breaking a plan into several issues, write one per independently verifiable slice (see implementation-planning), describe the end-to-end behavior it delivers rather than a layer inventory, and list the issues that block it, using the tracker's native blocking link where it has one. Show the breakdown before creating anything; approving it does not authorize publishing or labels.
- Follow the repository template, including instructions to omit inapplicable sections. Without a template, a small issue can be one paragraph plus an acceptance sentence. Use numbered reproduction steps or a comparison when helpful; omit empty headings and generic checklists. Preserve necessary facts while removing credentials, private data and internal infrastructure names (secret stores, private repositories, hosts) from publication-bound evidence.
- Recheck that the title and body describe the same problem, links exist, and acceptance criteria are requirements rather than claims of completed work. Return the draft, or use the existing authorized tracker workflow if creation or updating was requested. Never infer publication authority from this skill.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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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.

