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metaspartanmetaspartan/cybara/skills/systematic-debugging/SKILL.md

systematic-debugging

Skill38 starsChanged 5 months agoMITView on GitHub

Structured root-cause debugging loop — reproduce, isolate, form a hypothesis, verify the fix. Use whenever a bug, crash, test failure, or unexpected behavior is reported.

190 other projects use a version of this.

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Projects with it also use chinese-code-review, chinese-commit-conventions and 10 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.
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The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 177 edited versions we read keep these.

  • 1

    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. Very specific:

    Search code (grep) and the issue for similar symptoms.

    line 31
  2. Distinctive:

    Check recent changes (git log, git diff) — regressions usually track recent edits.

    line 32

“Common” is measured: kept by at least 6 in 10 of the 177 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

Systematic Debugging

A disciplined loop that finds the true root cause before changing code. Skipping it is the #1 cause of "fixes" that regress or don't hold.

The loop

  1. Reproduce reliably. Get a minimal, repeatable repro (command, input, test). If you can't reproduce it, say so and gather more info before touching code.
  2. Read the error fully. Capture the exact message, stack trace, and the line it points to. Don't guess from a summary.
  3. Isolate. Narrow the trigger: which input, which code path, which environment/version? Binary-search with logs or by disabling code.
  4. Form ONE hypothesis about the root cause. State it explicitly: "I think X happens because Y."
  5. Verify the hypothesis with the cheapest probe: a log, a print, a test, a debugger breakpoint (lsp_diagnostics, exec with a tiny script). Confirm before fixing.
  6. Fix the root cause, not the symptom. The fix should make the repro pass AND not break related cases.
  7. Add a regression test that captures the repro, so it can't come back.
  8. Re-run the full affected test suite, not just the one case.

Anti-patterns to avoid

  • Changing multiple things at once → you won't know which fixed it.
  • "Fixing" by catching/swallowing the error.
  • Editing code based on a guess without confirming the hypothesis.
  • Declaring fixed without re-running the repro.

When stuck

  • Re-read the original repro; assumptions drift.
  • Search code (grep) and the issue for similar symptoms.
  • Check recent changes (git log, git diff) — regressions usually track recent edits.
  • Form a NEW hypothesis; don't keep retesting the same one.

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