πŸ”§ Debugging Skill

SkillDev tools

Systematic bug investigation with hypothesis tracking

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the πŸ”§ Debugging Skill skill

What this skill tells your AI

The instructions your AI receives, as published by simhacker/moollm in skills/debugging/SKILL.md and read by ahel’s review.

"Hypothesize, test, learn, repeat."

Debug problems methodically. Track hypotheses, test systematically, converge on root causes.

Purpose

Debug problems methodically. Track hypotheses, document tests, record what you learn, and converge on root causes.

When to Use

  • Something isn't working as expected
  • Mysterious behavior needs explanation
  • Performance problems need diagnosis
  • "Works on my machine" situations

The Debugging Loop

OBSERVE β†’ HYPOTHESIZE β†’ TEST β†’ LEARN β†’ (repeat or) β†’ FIX

Terminal States

  • FIX β€” Bug resolved
  • WONTFIX β€” Intentional behavior
  • DEFER β€” Not addressing now

Protocol

Observation Phase

Before guessing, gather facts:

observation:
  symptom: "What's the observable problem?"
  context: "When does it happen?"
  expected: "What should happen instead?"

  evidence:
    - "Error message (exact text)"
    - "Logs showing the issue"
    - "Steps to reproduce"

  constraints:
    - "What we know for sure"
    - "What we've already ruled out"

Hypothesis Tracking

hypothesis:
  id: "hyp-001"
  claim: "The bug is caused by X"
  confidence: "high|medium|low"

  if_true:
    - "We would expect to see..."
    - "Changing X should fix it"

  test:
    action: "What to try"
    expected: "What we expect if hypothesis is correct"

  result:
    status: "confirmed|refuted|inconclusive"
    observation: "What actually happened"
    learned: "What this tells us"

Test Documentation

test:
  id: "test-001"
  hypothesis: "hyp-001"
  action: "What we did"

  before:
    state: "System state before test"

  after:
    state: "System state after test"

  result: "confirmed|refuted|inconclusive"
  learned: "What we now know"

Schemas

Observation Schema

FieldRequiredPurpose
symptomβœ“Observable problem
expectedβœ“What should happen
error_messageExact error text
logsRelevant log entries
steps_to_reproduceHow to trigger
constraintsKnown facts
ruled_outEliminated possibilities

Hypothesis Schema

FieldRequiredPurpose
idβœ“Unique identifier
claimβœ“What you think is wrong
testβœ“How to validate
confidencehigh/medium/low
if_trueExpected observations
resultTest outcome
learnedInsight gained

Test Schema

FieldRequiredPurpose
idβœ“Unique identifier
hypothesisβœ“Which hypothesis
actionβœ“What was tried
resultβœ“confirmed/refuted/inconclusive
beforeState before
afterState after
learnedInsight

Core Files

FilePurpose
DEBUG.ymlCurrent debugging session
HYPOTHESES.mdAll hypotheses and their status
TESTS.mdTest log
ROOT_CAUSE.mdFinal analysis

Commands

CommandAction
DEBUG [symptom]Start debugging session
OBSERVE [fact]Record observation
HYPOTHESIZE [claim]Propose hypothesis
TEST [action]Document test
LEARN [insight]Record what you learned
ROOT-CAUSE [explanation]Document root cause

The Scientific Method for Bugs

  1. Observe: What exactly is happening?
  2. Question: Why might this be happening?
  3. Hypothesize: Form testable explanation
  4. Predict: What would we see if hypothesis is true?
  5. Test: Try to confirm or refute
  6. Analyze: What did we learn?
  7. Iterate: New hypothesis or fix

Debugging Techniques

Binary Search

Narrow down where the bug lives. Use when the bug is somewhere in a large space.

technique: binary_search
steps:
  - "Find a known good state"
  - "Find a known bad state"
  - "Check the middle"
  - "Repeat until found"

Rubber Duck

Explain the problem in detail. Use when stuck and need fresh perspective. Write detailed observation in DEBUG.yml β€” forces you to articulate assumptions.

Minimal Reproduction

Simplify until bug is isolated. Use when complex system with unclear cause.

Git Bisect

Find the commit that introduced bug. Use when bug is a regression.

Print Debugging

Add logging to trace execution. Use when you need to understand flow.

Working Set

Always include in context:

  • DEBUG.yml
  • HYPOTHESES.md

Integration

DirectionSkillRelationship
←play-learn-liftDebugging IS learning
β†’session-logLog all debugging activities
β†’research-notebookComplex bugs need research
β†’honest-forgetCompress debugging wisdom
↔adventureDebugging IS adventure
↔roomDebug sessions are rooms
↔cardGit Goblin 🧌, Index Owl πŸ¦‰ companions

Signals

GitHub stars
52
Forks
5
Last commit
Sep 2026
Hacker News mentions
20
Advanced
Catalog kind
skill
Gateway key
debugging-simhacker
Source
github.com/simhacker/moollm