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.
Install
mkdir -p .claude/skills/error-resolver && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2092" && unzip -o skill.zip -d .claude/skills/error-resolver && rm skill.zipInstalls to .claude/skills/error-resolver
About this skill
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:
- Paste the full error (including stack trace if available)
- Provide context (what were you trying to do?)
- 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:
- Immediate fix - Get it working now
- Proper fix - The right way to solve it
- 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:
# Create solution record in project
mkdir -p .claude/error-solutions
# Solution file format: [error-type]-[hash].yaml
Solution Record Format
# .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:
- Generate error signature from the error message
- Search
.claude/error-solutions/for matching patterns - If found, apply the recorded solution
- 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
# 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
# Debug mode
python -m pdb script.py
# Check installed packages
pip show [package-name]
pip list
General
# 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:
- Comment out half the code
- If error persists, it's in the remaining half
- Repeat until you find the exact line
Pattern 2: Minimal Reproduction
Create the smallest code that reproduces the error:
- Start with empty file
- Add code piece by piece
- Stop when error appears
- That's your minimal repro case
Pattern 3: Rubber Duck Debugging
Explain the problem out loud (or to Claude):
- What should happen?
- What actually happens?
- What changed recently?
- What assumptions am I making?
Pattern 4: Git Bisect
Find which commit introduced the bug:
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 errorspython.md- Python common errorsreact.md- React/Next.js errorsdatabase.md- Database errorsdocker.md- Docker/container errorsgit.md- Git errorsnetwork.md- Network/API errors
-
analysis/ - Analysis methodologies
stack-trace.md- Stack trace parsing guideroot-cause.md- Root cause analysis techniques
-
replay/ - Replay system
solution-template.yaml- Template for recording solutions
More by davila7
View all skills by davila7 →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversEmpower your CLI agents with NotebookLM—connect AI tools for citation-backed answers from your docs, grounded in your ow
Integrate with Google Drive and GCloud Storage via Google Cloud Platform for seamless access to Compute Engine, BigQuery
Validate and render Mermaid diagrams as SVG images using Mermaid JS. Get clear error messages to improve your JavaScript
Automate Xcode build, testing, and management using JavaScript scripts for efficient project workflows and smart error r
Integrate Rootly's incident management API for real-time production issue resolution in code editors with efficient cont
Baidu Search provides fast web search using baidu.com. Retrieve results and webpage content with robust error handling a
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.