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bis-codebis-code/claude-toolkit/.claude/skills/incident-debug/SKILL.md

incident-debug

Skill8 starsChanged 6 months agoMITView on GitHub

Diagnose runtime issues through structured hypothesis-driven debugging.

4 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If arguments are provided (error messages, log snippets, stack traces), pass those directly

    line 13
  2. Distinctive:

    Run git log --oneline -20 to identify recent changes that may be related

    line 15
  3. Distinctive:

    All symptom information (error messages, stack traces, logs)

    line 22

“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

/incident-debug

Spawns the incident-debugger agent to systematically diagnose runtime or production issues.

Steps

  1. Gather context — collect information about the incident:
    • If arguments are provided (error messages, log snippets, stack traces), pass those directly
    • Otherwise, ask the user for: symptoms, reproduction steps, and when it started
    • Run git log --oneline -20 to identify recent changes that may be related
  2. Spawn the agent — use the Task tool:
    Task tool with subagent_type="incident-debugger"
    Pass in the prompt:
    • All symptom information (error messages, stack traces, logs)
    • Recent git changes and affected files
    • The project's language, framework, and runtime context
  3. Present findings — relay the agent's diagnosis:
    • Show the ranked hypotheses with evidence for/against each
    • Present the confirmed root cause with the code path
    • Show the proposed fix and regression test
  4. Offer follow-up actions:
    • "Apply fix?" — implement the proposed minimal fix
    • "Run tests?" — verify the fix and check for regressions
    • "Create issue for systemic problems?" — track broader issues as GitHub issues

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