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Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior
trigger
EXPLICITLY USE when encountering bugs or failures:
- "fix this bug" or "debug Y" or "troubleshoot X"
- "why is X failing" or "why isn't X working" or "why doesn't X work"
- "why did X not work" or "why didn't X happen"
- "X does not work" or "X is broken" or "X is not working"
- "investigate Y" or "figure out why Z"
- "The X button does not work" or "X preview button does not work"
ESPECIALLY use when under time pressure or after multiple failed fix attempts.
DO NOT activate for:
- "Why do we use X?" (explanation, not debugging)
- "Why should I choose X?" (decision support, not debugging)
- Known issues with clear solutions
- Documentation or architecture questions
execution_mode
enforced
pre_execution_contract
["visual_indicators_displayed"]
validation_gates
["orchestrate_sh_executed","debug_output_exists"]
Systematic Debugging
MANDATORY COMPLIANCE — DO NOT SKIP
When this skill is invoked, you MUST follow the 4-phase debugging process below. You are PROHIBITED from:
Jumping straight to a fix without completing Phase 1 (Root Cause Investigation)
Skipping the hypothesis step and guessing at solutions
Deciding the bug is "obvious" and bypassing the systematic process
Attempting more than 3 fixes without stopping to ask the user
Systematic debugging finds root causes in 15-30 minutes. Random fixes waste 2-3 hours. Follow the process.
Your first output line MUST be:🐙 **CLAUDE OCTOPUS ACTIVATED** - Systematic Debugging
The Iron Law
NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST
Random fixes waste time and create new bugs. Quick patches mask underlying issues.
If you haven't completed Phase 1, you cannot propose fixes.
When to Use
Use for ANY technical issue:
Test failures
Bugs in production
Unexpected behavior
Performance problems
Build failures
Integration issues
Use ESPECIALLY when:
Under time pressure (emergencies make guessing tempting)
"Just one quick fix" seems obvious
You've already tried multiple fixes
Previous fix didn't work
The Four Phases
┌──────────────────┐
│ Phase 1: ROOT │ ← Understand WHAT and WHY
│ CAUSE │
└────────┬─────────┘
↓
┌──────────────────┐
│ Phase 2: PATTERN │ ← Find working examples
│ ANALYSIS │
└────────┬─────────┘
↓
┌──────────────────┐
│ Phase 3: │ ← Form and test hypothesis
│ HYPOTHESIS │
└────────┬─────────┘
↓
┌──────────────────┐
│ Phase 4: │ ← Fix root cause, not symptom
│ IMPLEMENTATION │
└──────────────────┘
You MUST complete each phase before proceeding.
Phase 1: Root Cause Investigation
BEFORE attempting ANY fix:
1. Read Error Messages Carefully
Don't skip past errors or warnings
Read stack traces completely
Note line numbers, file paths, error codes
Error messages often contain the exact solution
2. Reproduce Consistently
Can you trigger it reliably?
What are the exact steps?
Does it happen every time?
If not reproducible → gather more data, don't guess
3. Check Recent Changes
git diff HEAD~5
git log --oneline -10
What changed that could cause this?
New dependencies, config changes?
Environmental differences?
4. Gather Evidence in Multi-Component Systems
When system has multiple components (API → service → database):
# Add diagnostic instrumentation at EACH boundaryecho"=== Layer 1: API endpoint ==="echo"Input: $INPUT"echo"=== Layer 2: Service layer ==="echo"Received: $DATA"echo"=== Layer 3: Database ==="echo"Query: $QUERY"
Run once to gather evidence showing WHERE it breaks.
5. Trace Data Flow
When error is deep in call stack:
Where does bad value originate?
What called this with bad value?
Keep tracing up until you find the source
Fix at source, not at symptom
Phase 2: Pattern Analysis
1. Find Working Examples
Locate similar working code in same codebase
What works that's similar to what's broken?
2. Compare Against References
If implementing a pattern, read reference implementation COMPLETELY
Don't skim - read every line
Understand the pattern fully before applying
3. Identify Differences
What's different between working and broken?
List every difference, however small
Don't assume "that can't matter"
4. Understand Dependencies
What other components does this need?
What settings, config, environment?
What assumptions does it make?
Phase 3: Hypothesis and Testing
1. Form Single Hypothesis
State clearly: "I think X is the root cause because Y"
Write it down
Be specific, not vague
2. Test Minimally
Make the SMALLEST possible change to test hypothesis
One variable at a time
Don't fix multiple things at once
3. Verify Before Continuing
Result
Action
Hypothesis confirmed
Proceed to Phase 4
Hypothesis wrong
Form NEW hypothesis, return to Phase 3.1
Still unclear
Gather more evidence, return to Phase 1
4. When You Don't Know
Say "I don't understand X"
Don't pretend to know
Ask for help or research more
Phase 4: Implementation
1. Create Failing Test Case
Simplest possible reproduction
Automated test if possible
MUST have before fixing
Use TDD skill for proper test
2. Implement Single Fix
Address the root cause identified
ONE change at a time
No "while I'm here" improvements
No bundled refactoring
3. Verify Fix
Test passes now?
No other tests broken?
Issue actually resolved?
4. If Fix Doesn't Work — 3-Strike Rule
Attempts
Action
< 3
Return to Phase 1, re-analyze with new information
≥ 3
STOP. Show your work. Ask the user.
Anti-rationalization rules:
"Should work now" → RUN IT. Confidence is not evidence.
"I already tested earlier" → Code changed since then. Test again.
"It's a trivial change" → Trivial changes break production. Verify.
"I'm pretty sure this fixes it" → Pretty sure is not verified. Run the test.
5. After 3+ Failed Fixes: Question Architecture
Pattern indicating architectural problem:
Each fix reveals new coupling/problem elsewhere
Fixes require "massive refactoring"
Each fix creates new symptoms
STOP and question fundamentals:
Is this pattern fundamentally sound?
Are we sticking with it through inertia?
Should we refactor architecture vs. continue fixing symptoms?
Discuss with user before attempting more fixes. Do not attempt a 4th fix without explicit user approval.
Self-Regulation Score (Debug Fix Loops)
When debugging involves multiple fix attempts, track a WTF score to detect runaway fix loops. This complements the 3-Strike Rule above with quantitative drift detection.
Track these signals (default weights, override via ~/.claude-octopus/loop-config.conf):
Event
Score Impact
Revert (git revert, undo, roll back a fix)
+15%
Touching files unrelated to the bug
+20%
A fix that requires changing >3 files
+5%
After the 15th fix attempt
+1% per additional fix
All remaining issues are Low severity
+10%
If WTF score exceeds 20% — STOP immediately, even if under the 3-strike limit. Show the score breakdown and ask the user whether to continue.
Also watch for stuck patterns: If the same error message appears 3+ times across fix attempts, or you see A→B→A→B oscillation (fix X breaks Y, fix Y breaks X), announce the cycle and HALT on second detection.
After 2 failed fix attempts, stop and reconsider the root cause before trying another fix. If the strategy-rotation hook fires, it means you have been repeating a failing approach. Do not continue down the same path — return to Phase 1 and investigate from a different angle.
Red Flags - STOP and Follow Process
If you catch yourself thinking:
"Quick fix for now, investigate later"
"Just try changing X and see"
"Skip the test, I'll manually verify"
"It's probably X, let me fix that"
"I don't fully understand but this might work"
"One more fix attempt" (when already tried 2+)
ALL of these mean: STOP. Return to Phase 1.
Common Rationalizations
Excuse
Reality
"Issue is simple"
Simple issues have root causes too.
"Emergency, no time"
Systematic is FASTER than thrashing.
"Just try this first"
First fix sets the pattern. Do it right.
"I see the problem"
Seeing symptoms ≠ understanding root cause.
"One more attempt"
3+ failures = architectural problem.
Platform Debugging
If you suspect the issue is with the Claude Code environment itself (e.g., network errors, context limits, tool failures):
Run /debug: This native command generates a debug bundle to help troubleshoot platform issues.
Check /debug output: Look for "Context limit", "API error", or "Tool execution failed".
Auto-Freeze on Debug
Inside this explicitly invoked debugging workflow, activate freeze mode for the
specific module before editing. This safety measure keeps the investigation focused.
How It Works
At the start of Phase 1 (Root Cause Investigation), identify the primary module directory being debugged and activate freeze mode:
# Determine the module directory from the error location or user-specified target# Example: if debugging src/auth/login.ts, freeze to src/auth/
freeze_dir="$(cd "<module-directory>" 2>/dev/null && pwd)"echo"${freeze_dir}" > "/tmp/octopus-freeze-${CLAUDE_SESSION_ID:-$$}.txt"
This ensures that during investigation (Phases 1-3), you cannot accidentally modify files outside the module under investigation. When you reach Phase 4 (Implementation), the freeze boundary keeps your fix scoped to the right module.
Auto-freeze activates when:
The bug is localized to a specific directory (e.g., src/auth/, lib/database/)
The user specifies a file or module to debug
Auto-freeze does NOT activate when:
The bug spans multiple modules
The root cause location is unknown at investigation start
The user explicitly opts out
After debugging completes, remind the user to run /octo:unfreeze if needed, or remove the state file automatically.
Integration with Claude Octopus
When using octopus workflows for debugging:
Workflow
Debugging Integration
probe
Research error patterns, similar issues
grasp
Define the problem scope clearly
tangle
Implement the fix with TDD
squeeze
Verify fix doesn't introduce vulnerabilities
grapple
Debate architectural alternatives after 3+ failures