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NVIDIAKnown publisherNVIDIA/container-canary/.agents/skills/issue-writer/SKILL.md

issue-writer

Skill309 starsChanged 4 months agoApache-2.0View on GitHub

Draft and revise concise, human-focused GitHub issues for pytest-kind-ng. Use when asked to write, rewrite, review, or prepare a bug report, enhancement request, maintenance issue, or follow-up issue for this repository, including turning code-review findings into issues.

4 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions4 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 4

    1. KhaledSaeed18/dotclaude★ 5same name
    2. edloidas/skills★ 2same name
    3. NatanGer97/nautink★ 2same name
    4. phalbohr/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 repositoryOne other file it gives its agents.

The file

Show its rules and text

We split this skill into the rules it gives an agent

17 rules. 0 are common, 16 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 4 edited versions we read keep these.

  • 16

    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:

    Write issues that let a maintainer understand the problem, reproduce it when applicable, and decide whether it matters without reading an …

    line 8
  2. Distinctive:

    Remove proposed fixes and implementation details.

    line 17
  3. Distinctive:

    Use a specific, problem-focused title.

    line 28
  4. Distinctive:

    Keep paragraphs short and omit background that does not change understanding or reproduction.

    line 30
  5. Distinctive:

    Use plain language for humans.

    line 32
  6. Distinctive:

    Do not add labels, priority, milestones, or assignees unless the user provides them.

    line 36
  7. Distinctive:

    Prefer titles such as:

    line 39
  8. Distinctive:

    Avoid solution-shaped titles such as:

    line 43
  9. Distinctive:

    Minimal: Remove every line, step, fixture, dependency, and input that is not required to trigger the behavior.

    line 51
  10. Distinctive:

    Verifiable: Run the final reduced example and report the command and result.

    line 55
  11. Distinctive:

    Never claim that an untested example reproduces the problem.

    line 56
  12. Distinctive:

    Prefer synthetic inline configuration or data over external repositories, archives, logs, or private application data.

    line 58
  13. Very specific:

    Use language-labelled fenced code blocks.

    line 61
  14. Distinctive:

    If a minimal reproduction is relevant but unavailable, state that limitation plainly instead of fabricating one.

    line 70
  15. Distinctive:

    Do not add a “Proposed solution” section, name files to edit, prescribe an architecture, or provide implementation steps.

    line 92
  16. Distinctive:

    Before returning the draft, verify:

    line 98
  17. Distinctive:

    Every paragraph earns the maintainer's attention.

    line 105

“Common” is measured: kept by at least 6 in 10 of the 4 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

Issue Writer

Write issues that let a maintainer understand the problem, reproduce it when applicable, and decide whether it matters without reading an implementation plan.

Workflow

  1. Inspect the relevant code, tests, documentation, and repository guidance. Do not invent behavior, impact, versions, or reproduction results.
  2. Reduce the request to one problem. Split unrelated problems into separate issues.
  3. Remove proposed fixes and implementation details. Preserve constraints and observable desired behavior only when they clarify the problem.
  4. For a bug, build the smallest complete reproduction and verify that it still demonstrates the reported behavior. For a non-bug change, state the concrete limitation and why resolving it is important.
  5. Draft only the sections that add information, then edit for brevity.
  6. Return a draft unless the user explicitly asks to create or submit the issue.

Write for Maintainers

  • Lead with the observed problem and its impact.
  • Use a specific, problem-focused title. Describe what fails or is difficult, not a technology or refactoring to adopt.
  • Keep paragraphs short and omit background that does not change understanding or reproduction.
  • Use plain language for humans. Do not include agent instructions, exhaustive task lists, review history, or commentary about how the issue was produced.
  • Distinguish verified facts from uncertainty. Do not speculate about a root cause.
  • Do not add labels, priority, milestones, or assignees unless the user provides them.

Prefer titles such as:

Port forwarding restarts after it becomes ready

Avoid solution-shaped titles such as:

Refactor port forwarding to use a new readiness mechanism

Reproduce Bugs

Make reproductions:

  • Minimal: Remove every line, step, fixture, dependency, and input that is not required to trigger the behavior.
  • Complete: Include everything a maintainer needs to copy, run, and observe the problem.
  • Verifiable: Run the final reduced example and report the command and result. Never claim that an untested example reproduces the problem.

Prefer synthetic inline configuration or data over external repositories, archives, logs, or private application data. Include only relevant environment details, such as Python, pytest, kind, kubectl, OS, and architecture versions. Use language-labelled fenced code blocks. Include the complete traceback or command output when it is relevant; place unusually long output in a <details> block rather than truncating the useful frames.

Present Python examples in python-labelled code blocks. Do not wrap Python code in a shell heredoc such as python3 <<'PY' ... PY; readers can infer that the example should be run with Python. Use a bash block only for shell commands.

If a minimal reproduction is relevant but unavailable, state that limitation plainly instead of fabricating one.

Structure the Draft

Adapt the structure to the issue. Do not emit empty headings.

For a bug, usually include:

  • A one-paragraph summary
  • A minimal reproduction with the exact command
  • Actual behavior, including the complete relevant error
  • Expected behavior
  • Relevant environment details

For an enhancement or maintenance issue, usually include:

  • The current limitation or maintenance problem
  • A concrete example or affected workflow
  • Why it matters to users or maintainers
  • Clear boundaries when needed to keep the issue focused

Do not add a “Proposed solution” section, name files to edit, prescribe an architecture, or provide implementation steps. State the outcome that should be possible only when it is necessary to explain the problem.

Final Check

Before returning the draft, verify:

  • The title describes one problem rather than a solution.
  • The opening explains what is wrong and why it matters.
  • A bug reproduction is minimal, complete, and actually verified.
  • A non-bug issue gives concrete justification.
  • Expected behavior is observable without prescribing implementation.
  • Every paragraph earns the maintainer's attention.

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