error-resolver▌
davila7/claude-code-templates · updated Apr 8, 2026
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A first-principle approach to diagnosing and resolving errors across all languages and frameworks.
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
How to use error-resolver on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add error-resolver
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches error-resolver from GitHub repository davila7/claude-code-templates and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate error-resolver. Access the skill through slash commands (e.g., /error-resolver) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★36 reviews- ★★★★★Advait Reddy· Dec 24, 2024
We added error-resolver from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 16, 2024
Registry listing for error-resolver matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Anaya Rao· Dec 8, 2024
Solid pick for teams standardizing on skills: error-resolver is focused, and the summary matches what you get after install.
- ★★★★★Mei Haddad· Dec 4, 2024
Keeps context tight: error-resolver is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Advait Flores· Nov 27, 2024
error-resolver has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Luis Malhotra· Nov 23, 2024
I recommend error-resolver for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Lucas Malhotra· Nov 15, 2024
Useful defaults in error-resolver — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Advait Harris· Nov 11, 2024
error-resolver fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Sakshi Patil· Nov 7, 2024
error-resolver reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Oct 26, 2024
I recommend error-resolver for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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