skill-debug
Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior
Skill by mhdxbilal
Chalk Labs
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Install
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.
npx agentmarket install skill/mhdxbilal-skill-debug
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About
Use cases: testing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-debug
What's inside
- Skill name
skill-debug- Description
- Debug issues methodically — use when stuck on errors, test failures, or unexpected behavior
- License
- MIT
- Instructions
- 368 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 mhdxbilal/Ai, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- May 19, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mhdxbilal/Ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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skill-debug. Agent Mart. https://agentmart.dev/skills/mhdxbilal-skill-debug (last updated 2026-10-24)