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swestfall21swestfall21/claude-skills/systematic-debugging/SKILL.md

systematic-debugging

Skill0 starsChanged 4 months agoMITView on GitHub

How to hunt down bugs methodically — reproduce first, test one hypothesis at a time, bisect when lost. Use whenever investigating a bug, a failing test, or behavior that contradicts expectations.

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.

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The file

We split this skill into the rules it gives an agent

12 rules. 0 are common, 12 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 177 edited versions we read keep these.

  • 12

    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:

    Do not change code until you can trigger the failure on demand.

    line 12
  2. Distinctive:

    If the bug is intermittent, find what makes it more frequent before hunting the cause — a 1-in-3 failure is debuggable, a 1-in-300 failure …

    line 14
  3. Distinctive:

    Test the cheapest hypothesis first — a config value or an environment difference is a 30-second check.

    line 20
  4. Distinctive:

    When an experiment rules a hypothesis out, say so and move on.

    line 22
  5. Distinctive:

    Do not pattern-match a familiar-looking error to a known cause without confirming.

    line 27
  6. Distinctive:

    When behavior contradicts your model of the code, believe the behavior.

    line 28
  7. Distinctive:

    When there is no leading hypothesis, cut the search space in half: git bisect across history, binary-search over the input, or disable half …

    line 32
  8. Distinctive:

    After the fix, rerun the original reproduction and confirm it passes for the reason you expect.

    line 39
  9. Distinctive:

    Do not claim a fix for a bug you never reproduced.

    line 43
  10. Distinctive:

    Do not change multiple candidate causes in one experiment.

    line 44
  11. Distinctive:

    Do not dismiss evidence that contradicts your hypothesis — that evidence is the lead.

    line 45
  12. Distinctive:

    If time runs out, report what was ruled out, what remains suspect, and the exact reproduction steps — that is a valuable result, not a …

    line 46

“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

Debug systematically

Debugging time is lost to two habits: fixing before reproducing, and changing several things at once. The method below is slower per step and much faster per bug.

Reproduce first

  • Do not change code until you can trigger the failure on demand. A bug you cannot reproduce is a bug you cannot verify a fix for.
  • Reduce the reproduction to the smallest input, command, or test that still fails. Every element you remove narrows where the bug can live.
  • If the bug is intermittent, find what makes it more frequent before hunting the cause — a 1-in-3 failure is debuggable, a 1-in-300 failure is a stakeout.
  • Capture the reproduction as a failing test when practical. It becomes the fix's verification and the regression guard for free.

One hypothesis at a time

  • State the hypothesis before testing it: "if X is the cause, then doing Y should show Z."
  • Test the cheapest hypothesis first — a config value or an environment difference is a 30-second check; a race condition is an afternoon.
  • Change one variable per experiment. If you change two things and the bug disappears, you have learned almost nothing.
  • When an experiment rules a hypothesis out, say so and move on. Ruled-out causes are progress worth reporting.

Read the error — actually read it

  • The full message, the stack trace, the line numbers, the first error rather than the last one in a cascade.
  • Do not pattern-match a familiar-looking error to a known cause without confirming. The same message often has several different origins.
  • When behavior contradicts your model of the code, believe the behavior; your model is what's wrong.

Bisect when lost

  • When there is no leading hypothesis, cut the search space in half: git bisect across history, binary-search over the input, or disable half the pipeline at a time.
  • "When did this last work?" is often the fastest question available — a recent regression narrows the suspects to a diff you can read.

Fix the cause, not the symptom

  • A retry, a sleep, a broadened catch block, or a null check that silences the crash without explaining it is a symptom patch. It moves the failure somewhere less observable.
  • You should be able to say why the bug happened in one sentence before you write the fix. If you can't, keep digging or say plainly that the fix is speculative.
  • After the fix, rerun the original reproduction and confirm it passes for the reason you expect.

Non-negotiables

  • Do not claim a fix for a bug you never reproduced.
  • Do not change multiple candidate causes in one experiment.
  • Do not dismiss evidence that contradicts your hypothesis — that evidence is the lead.
  • If time runs out, report what was ruled out, what remains suspect, and the exact reproduction steps — that is a valuable result, not a failure.

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