agentleFS
fegonefegone/claude-agent-starter/skills/triage-issue/SKILL.md

triage-issue

Skill0 starsChanged 4 months agoMITView on GitHub

Triage a bug or issue by exploring the codebase to find root cause, then create a GitHub issue with a TDD-based fix plan. Use when user reports a bug, wants to file an issue, mentions "triage", or wants to investigate and plan a fix for a problem.

46 other projects use a version of this, 10 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use request-refactor-plan, design-an-interface and 6 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • simo97Skill

    request-refactor-plan

    Use this skill when user wants to create a refactor plan.

    Also in 12 projects that use this

  • simo97Skill

    design-an-interface

    Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".

    Also in 11 projects that use this

  • kennethkeimSkill

    ubiquitous-language

    Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to UBIQUITOUS_LANGUAGE.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".

    Also in 10 projects that use this

  • DockerSkill

    fix-issue

    Fix a single GitHub issue end-to-end: triage, research, write the fix, review, and create a PR. Use when asked to fix an issue: "fix issue 1234", "resolve #500", "create a PR for issue 200".

    Also in 6 projects that use this

  • AnasX7Skill

    scaffold-exercises

    Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.

    Also in 6 projects that use this

  • AnasX7Skill

    setup-pre-commit

    Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.

    Also in 8 projects that use this

  • +2 more from simo97

The file

We split this skill into the rules it gives an agent

9 rules. 0 are common, 8 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 38 edited versions we read keep these.

  • 8

    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:

    Do NOT ask follow-up questions yet.

    line 16
  2. Distinctive:

    Use the Agent tool with subagent_type=Explore to deeply investigate the codebase.

    line 20
  3. Distinctive:

    Create a concrete, ordered list of RED-GREEN cycles.

    line 45
  4. Distinctive:

    Durability: Only suggest fixes that would survive radical codebase changes.

    line 55
  5. Very specific:

    Create a GitHub issue using gh issue create with the template below.

    line 59
  6. Distinctive:

    Do NOT include specific file paths, line numbers, or implementation details that couple to current code layout.

    line 77
  7. Distinctive:

    RED: Write a test that [describes expected behavior]

    line 83
  8. Distinctive:

    RED: Write a test that [describes next behavior]

    line 86
  9. Distinctive:

    After creating the issue, print the issue URL and a one-line summary of the root cause.

    line 102

“Common” is measured: kept by at least 6 in 10 of the 38 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

Triage Issue

Investigate a reported problem, find its root cause, and create a GitHub issue with a TDD fix plan. This is a mostly hands-off workflow - minimize questions to the user.

Process

1. Capture the problem

Get a brief description of the issue from the user. If they haven't provided one, ask ONE question: "What's the problem you're seeing?"

Do NOT ask follow-up questions yet. Start investigating immediately.

2. Explore and diagnose

Use the Agent tool with subagent_type=Explore to deeply investigate the codebase. Your goal is to find:

  • Where the bug manifests (entry points, UI, API responses)
  • What code path is involved (trace the flow)
  • Why it fails (the root cause, not just the symptom)
  • What related code exists (similar patterns, tests, adjacent modules)

Look at:

  • Related source files and their dependencies
  • Existing tests (what's tested, what's missing)
  • Recent changes to affected files (git log on relevant files)
  • Error handling in the code path
  • Similar patterns elsewhere in the codebase that work correctly

3. Identify the fix approach

Based on your investigation, determine:

  • The minimal change needed to fix the root cause
  • Which modules/interfaces are affected
  • What behaviors need to be verified via tests
  • Whether this is a regression, missing feature, or design flaw

4. Design TDD fix plan

Create a concrete, ordered list of RED-GREEN cycles. Each cycle is one vertical slice:

  • RED: Describe a specific test that captures the broken/missing behavior
  • GREEN: Describe the minimal code change to make that test pass

Rules:

  • Tests verify behavior through public interfaces, not implementation details
  • One test at a time, vertical slices (NOT all tests first, then all code)
  • Each test should survive internal refactors
  • Include a final refactor step if needed
  • Durability: Only suggest fixes that would survive radical codebase changes. Describe behaviors and contracts, not internal structure. Tests assert on observable outcomes (API responses, UI state, user-visible effects), not internal state. A good suggestion reads like a spec; a bad one reads like a diff.

5. Create the GitHub issue

Create a GitHub issue using gh issue create with the template below. Do NOT ask the user to review before creating - just create it and share the URL.

<issue-template>

Problem

A clear description of the bug or issue, including:

  • What happens (actual behavior)
  • What should happen (expected behavior)
  • How to reproduce (if applicable)

Root Cause Analysis

Describe what you found during investigation:

  • The code path involved
  • Why the current code fails
  • Any contributing factors

Do NOT include specific file paths, line numbers, or implementation details that couple to current code layout. Describe modules, behaviors, and contracts instead. The issue should remain useful even after major refactors.

TDD Fix Plan

A numbered list of RED-GREEN cycles:

  1. RED: Write a test that [describes expected behavior] GREEN: [Minimal change to make it pass]
  2. RED: Write a test that [describes next behavior] GREEN: [Minimal change to make it pass]

...

REFACTOR: [Any cleanup needed after all tests pass]

Acceptance Criteria

  • Criterion 1
  • Criterion 2
  • All new tests pass
  • Existing tests still pass
</issue-template>

After creating the issue, print the issue URL and a one-line summary of the root cause.

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