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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    Systematic Bug Diagnosis — Root Cause, Not Guesswork

    1

    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.

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    Systematic Bug Diagnosis — Root Cause, Not Guesswork

    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

    Connects securely to your tools. The creator never sees your data.

    What you get

    Failing test or wrong output with no obvious cause“Works on my machine” / prod-only behaviourRegression after a deploy or mobile client changeIntermittent bugs that need hypothesis trackingHand off a root-cause writeup + regression test to the team

    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.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 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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    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago
    Updated1 month ago

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