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diagnosing-bugs

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

IT & Software Developmentcoding-agentsengineeringworkflow

Diagnosing Bugs

When to Use

Use when this workflow matches the user request: Use this skill for its documented workflow.

_Source: mattpocock/skills (MIT)._

A discipline for hard bugs. Skip phases only when explicitly justified.

When exploring the codebase, read CONTEXT.md (if it exists) to get a clear mental model of the relevant modules, and check ADRs in the area you're touching.

Phase 1 — Build a feedback loop

This is the skill. Everything else is mechanical. If you have a tight pass/fail signal for the bug — one that goes red on _this_ bug — you will find the cause; bisection, hypothesis-testing, and instrumentation all just consume it. If you don't have one, no amount of staring at code will save you.

Spend disproportionate effort here. Be aggressive. Be creative. Refuse to give up.

Ways to construct one — try them in roughly this order

  1. Failing test at whatever seam reaches the bug — unit, integration, e2e.
  2. Curl / HTTP script against a running dev server.
  3. CLI invocation with a fixture input, diffing stdout against a known-good snapshot.
  4. Headless browser script (Playwright / Puppeteer) — drives the UI, asserts on DOM/console/network.
  5. Replay a captured trace. Save a real network request / payload / event log to disk; replay it through the code path in isolation.
  6. 6

Subscribers only

The full skill, its 2 bundled files and every download is included with every paid Complete AI plan.

Details

Sourcemattpocock/skills
LicenseMIT
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md, scripts/hitl-loop.template.sh
Added2026-06-19

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