Error Resolver
Systematic error diagnosis and resolution using first-principle analysis. Use when encountering any error message, stack trace, or unexpected behavior. Supports replay functionality to record and reuse solutions.
What this skill does
# Error Resolver
A first-principle approach to diagnosing and resolving errors across all languages and frameworks.
## Core Philosophy
**The 5-step Error Resolution Process:**
```
1. CLASSIFY -> 2. PARSE -> 3. MATCH -> 4. ANALYZE -> 5. RESOLVE
| | | | |
What type? Extract key Known Root cause Fix +
information pattern? analysis Prevent
```
## Quick Start
When you encounter an error:
1. **Paste the full error** (including stack trace if available)
2. **Provide context** (what were you trying to do?)
3. **Share relevant code** (the file/function involved)
## Error Classification Framework
### Primary Categories
| Category | Indicators | Common Causes |
|----------|------------|---------------|
| **Syntax** | Parse error, Unexpected token | Typos, missing brackets, invalid syntax |
| **Type** | TypeError, type mismatch | Wrong data type, null/undefined access |
| **Reference** | ReferenceError, NameError | Undefined variable, scope issues |
| **Runtime** | RuntimeError, Exception | Logic errors, invalid operations |
| **Network** | ECONNREFUSED, timeout, 4xx/5xx | Connection issues, wrong URL, server down |
| **Permission** | EACCES, PermissionError | File/directory access, sudo needed |
| **Dependency** | ModuleNotFound, Cannot find module | Missing package, version mismatch |
| **Configuration** | Config error, env missing | Wrong settings, missing env vars |
| **Database** | Connection refused, query error | DB down, wrong credentials, bad query |
| **Memory** | OOM, heap out of memory | Memory leak, large data processing |
### Secondary Attributes
- **Severity**: Fatal / Error / Warning / Info
- **Scope**: Build-time / Runtime / Test-time
- **Origin**: User code / Framework / Third-party / System
## Analysis Workflow
### Step 1: Classify
Identify the error category by examining:
- Error name/code (e.g., `ENOENT`, `TypeError`)
- Error message keywords
- Where it occurred (compile, runtime, test)
### Step 2: Parse
Extract key information:
```
- Error code: [specific code if any]
- File path: [where the error originated]
- Line number: [exact line if available]
- Function/method: [context of the error]
- Variable/value: [what was involved]
- Stack trace depth: [how deep is the call stack]
```
### Step 3: Match Patterns
Check against known error patterns:
- See `patterns/` directory for language-specific patterns
- Match error signatures to known solutions
- Check replay history for previous solutions
### Step 4: Root Cause Analysis
Apply the **5 Whys** technique:
```
Error: Cannot read property 'name' of undefined
Why 1? -> user object is undefined
Why 2? -> API call returned null
Why 3? -> User ID doesn't exist in database
Why 4? -> ID was from stale cache
Why 5? -> Cache invalidation not implemented
Root Cause: Missing cache invalidation logic
```
### Step 5: Resolve
Generate actionable solution:
1. **Immediate fix** - Get it working now
2. **Proper fix** - The right way to solve it
3. **Prevention** - How to avoid in the future
## Output Format
When resolving an error, provide:
```
## Error Diagnosis
**Classification**: [Category] / [Severity] / [Scope]
**Error Signature**:
- Code: [error code]
- Type: [error type]
- Location: [file:line]
## Root Cause
[Explanation of why this error occurred]
**Contributing Factors**:
1. [Factor 1]
2. [Factor 2]
## Solution
### Immediate Fix
[Quick steps to resolve]
### Code Change
[Specific code to add/modify]
### Verification
[How to verify the fix works]
## Prevention
[How to prevent this error in the future]
## Replay Tag
[Unique identifier for this solution - for future reference]
```
## Replay System
The replay system records successful solutions for future reference.
### Recording a Solution
After resolving an error, record it:
```bash
# Create solution record in project
mkdir -p .claude/error-solutions
# Solution file format: [error-type]-[hash].yaml
```
### Solution Record Format
```yaml
# .claude/error-solutions/[error-signature].yaml
id: "nodejs-module-not-found-express"
created: "2024-01-15T10:30:00Z"
updated: "2024-01-20T14:22:00Z"
error:
type: "dependency"
category: "ModuleNotFound"
language: "nodejs"
pattern: "Cannot find module 'express'"
context: "npm project, missing dependency"
diagnosis:
root_cause: "Package not installed or node_modules corrupted"
factors:
- "Missing npm install after git clone"
- "Corrupted node_modules directory"
- "Package not in package.json"
solution:
immediate:
- "Run: npm install express"
proper:
- "Check package.json has express listed"
- "Run: rm -rf node_modules && npm install"
code_change: null
verification:
- "Run the application again"
- "Check express is in node_modules"
prevention:
- "Add npm install to project setup docs"
- "Use npm ci in CI/CD pipelines"
metadata:
occurrences: 5
last_resolved: "2024-01-20T14:22:00Z"
success_rate: 1.0
tags: ["nodejs", "npm", "dependency"]
```
### Replay Lookup
When encountering an error:
1. Generate error signature from the error message
2. Search `.claude/error-solutions/` for matching patterns
3. If found, apply the recorded solution
4. If new, proceed with full analysis and record the solution
### Error Signature Generation
```
signature = hash(
error_type +
error_code +
normalized_message + # remove specific values
language +
framework
)
```
Example transformations:
- `Cannot find module 'express'` -> `Cannot find module '{module}'`
- `TypeError: Cannot read property 'name' of undefined` -> `TypeError: Cannot read property '{prop}' of undefined`
## Debug Commands
Useful commands during debugging:
### Node.js
```bash
# Verbose error output
NODE_DEBUG=* node app.js
# Memory debugging
node --inspect app.js
# Check installed packages
npm ls [package-name]
# Verify package.json
npm ls --depth=0
```
### Python
```bash
# Debug mode
python -m pdb script.py
# Check installed packages
pip show [package-name]
pip list
```
### General
```bash
# Check file permissions
ls -la [file]
# Check port usage
lsof -i :[port]
netstat -an | grep [port]
# Check environment variables
env | grep [VAR_NAME]
printenv [VAR_NAME]
# Check disk space
df -h
# Check memory
free -m # Linux
vm_stat # macOS
```
## Common Debugging Patterns
### Pattern 1: Binary Search
When the error location is unclear:
1. Comment out half the code
2. If error persists, it's in the remaining half
3. Repeat until you find the exact line
### Pattern 2: Minimal Reproduction
Create the smallest code that reproduces the error:
1. Start with empty file
2. Add code piece by piece
3. Stop when error appears
4. That's your minimal repro case
### Pattern 3: Rubber Duck Debugging
Explain the problem out loud (or to Claude):
1. What should happen?
2. What actually happens?
3. What changed recently?
4. What assumptions am I making?
### Pattern 4: Git Bisect
Find which commit introduced the bug:
```bash
git bisect start
git bisect bad # current commit is bad
git bisect good [last-known-good-commit]
# Git will checkout commits for you to test
git bisect good/bad # mark each as good or bad
git bisect reset # when done
```
## Reference Files
- **patterns/** - Language-specific error patterns
- `nodejs.md` - Node.js common errors
- `python.md` - Python common errors
- `react.md` - React/Next.js errors
- `database.md` - Database errors
- `docker.md` - Docker/container errors
- `git.md` - Git errors
- `network.md` - Network/API errors
- **analysis/** - Analysis methodologies
- `stack-trace.md` - Stack trace parsing guide
- `root-cause.md` - Root cause analysis techniques
- **replay/** - Replay system
- `solution-template.yaml` - Template for recording solutions
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