Systematic debugging

SkillDev tools

Makes your agent find the root cause of a bug before proposing any fix.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Systematic debugging skill

About this skill

Finds the root cause of a bug, test failure, or unexpected behavior before proposing any fix. Use this whenever something is broken and the cause is not yet proven, a failing test, a production error, intermittent behavior, or a symptom that appeared after a change. Also use when a fix has been att

What this skill tells your AI

The instructions your AI receives, as published by cbrock84/headcount in plugins/technology/skills/systematic-debugging/SKILL.md and read by ahel’s review.

The rule

No fix before the cause is proven. A change that makes a symptom disappear without an explanation has not fixed anything — it has moved the failure somewhere you are not looking.

Method

  1. Reproduce it deterministically. If you cannot make it happen on demand, you cannot know when it is fixed. Intermittent means you have not found the variable yet — order, timing, state, environment, data.
  2. Narrow the blast radius. Bisect: which commit, which input, which branch, which layer. Halve the search space with each step rather than reading everything.
  3. State a hypothesis that can be wrong. "The cache returns stale rows after a write" is a hypothesis. "Something is wrong with caching" is not.
  4. Test the hypothesis directly — a log line, a breakpoint, a probe. Prove it, do not infer it.
  5. Explain the whole symptom. If your cause explains the error but not why it started Tuesday, you have found a bug, not the bug.
  6. Fix, then verify by reverting. Put the bug back and confirm the test fails again. This is the step people skip, and it is the one that proves causation rather than coincidence.

Anti-patterns

  • Shotgun changes — altering several things at once. Now you cannot attribute the fix.
  • "Probably a flake." Not a diagnosis. A test that fails intermittently is reporting a real race, ordering dependency, or shared-state leak.
  • Fixing the symptom — catching the exception, adding a retry, widening a timeout — without knowing what threw it.
  • Trusting the error message's location. Where it surfaced is rarely where it originated.

Never

  • Close a bug without a reproduction that failed before the fix and passes after it.
  • Deploy a change to production to find out whether it works. Reproduce somewhere you can observe first.
  • Change the environment and the code in the same step.
  • Leave a debugging aid in the code as the fix — a widened timeout, a disabled check, a swallowed exception.

Return contract

State the reproduction, the proven cause, the fix, and the verification that the fix addresses that cause specifically. Name anything you ruled out and how.

Signals

GitHub stars
2k
Forks
262
Last commit
Sep 2026
Advanced
Item type
skill
Key
systematic-debugging-cbrock84
Source
github.com/cbrock84/headcount