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- Systematic Bug Diagnosis — Root Cause, Not Guesswork
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Systematic Bug Diagnosis — Root Cause, Not Guesswork
Finds why an app bug is happening using a step-by-step method (reproduce, isolate, test ideas, 5 Whys), then gives a small correct fix and a regression test — without guessing first.
$12
Systematic Bug Diagnosis — Root Cause, Not Guesswork
Example session with this skill installed
ends UTC (Z); API TZ=America/Chicago
Symptom: 8h shift stored as 13.0h; naive unit tests pass
clock_out:
started = started.astimezone().replace(tzinfo=None) # local wall
ended = ended.replace(tzinfo=None) # UTC wall kept
hours = (ended - started) / 3600
log: 08:00Z–16:00Z → hours_computed = 13.0
- Read your context and instructions
- Compiled the systematic bug diagnosis
Class: environment | Stage: FIX | Confidence: CONFIRMED | Reproducible: yes
H3 CONFIRMED: asymmetric normalize
start → Chicago wall (08:00Z → 03:00)
end → UTC wall kept (16:00)
→ 13.0h lie; true UTC delta = 8.0
Root cause: duration mixed local-converted start with UTC-stripped end
Fix: both sides astimezone(UTC) before subtract
Regression: clock_out(08:00Z, 16:00Z) asserts 8.0
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What you get
About this skill
The problem
- Guessing at fixes wastes hours and often papers over the real cause.
- Symptoms (wrong hours, weird totals, flaky tests) get “fixed” in the UI while the root bug stays.
- Teams need a shared, evidence-first debugging process — not another “try this” chat.
What it does
- Runs a scientific debugging workflow: reproduce → isolate → hypothesize → test → root cause → fix → verify.
- Classifies the bug (logic, state, type, race, environment, integration, data, regression) and picks a matching strategy.
- Tracks hypotheses with evidence for/against and a next experiment for each.
- Builds a 5-Whys chain that separates the symptom from the root cause.
- Proposes a minimal fix plus a regression test, with honest confidence: CONFIRMED / PROBABLE / SPECULATIVE.
Frameworks & tools
- Language-agnostic method; works on any stack when you provide code, errors, and context.
- Uses failing tests, logs, and diffs you already have — no special SaaS debugger required.
- SKILL.md workflow for Claude Code, Cursor, Codex CLI, OpenClaw, and similar agents.
Why this beats prompting it yourself
- Anti-guessing rule: no “the answer” fix until the cause is CONFIRMED or PROBABLE.
- If it cannot reproduce, you get a reproduction plan — not a random patch.
- Hypothesis table and 5 Whys keep the investigation honest and reviewable.
- Bug-class strategies (e.g. race vs environment) change how it debugs.
- Regression test is part of the deliverable so the bug stays fixed.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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