skill-debug
Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior
Skill by GongYuanCaiJi
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: testing
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What's inside
- Skill name
skill-debug- Description
- Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior
- License
- MIT
- Instructions
- 369 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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
<HARD-GATE>
NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST
</HARD-GATE>
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
```bash
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):**
```bash
# Add diagnostic instrumentation at EACH boundary
echo "=== 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 sourceFrom GongYuanCaiJi/dsh-claude-octopus, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 15, 2026 (2 months ago)
- Last release
- Aug 15, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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skill-debug. Agent Mart. https://agentmart.dev/skills/gongyuancaiji-skill-debug (last updated 2026-10-24)