LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
Legacy error-resolution reference archive retained for migration. Do not route user tasks here; use systematic-debugging for active bug, stack-trace, and root-cause work.
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill error-resolver --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/error-resolverContext preview
The summary Claude sees to decide when to auto-load this skill.
Legacy error-resolution reference archive retained for migration. Do not route user tasks here; use systematic-debugging for active bug, stack-trace, and root-cause work.
name: Error Resolver description: Legacy error-resolution reference archive retained for migration. Do not route user tasks here; use systematic-debugging for active bug, stack-trace, and root-cause work.
Legacy reference archive for first-principle error diagnosis across languages and frameworks.
This directory is retained because it contains substantial analysis, pattern, and replay material. It is not an active `code-quality` route owner. Route user-facing bug, stack-trace, and root-cause tasks to `systematic-debugging`.
**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 PreventWhen 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)
| 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 |
Identify the error category by examining:
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]
Check against known error patterns:
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
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
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]
The replay system records successful solutions for future reference.
After resolving an error, record it:
# Create solution record in project mkdir -p .claude/error-solutions # Solution file format: [error-type]-[hash].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"]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
signature = hash( error_type + error_code + normalized_message + # remove specific values language + framework )
Example transformations:
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
Repo: foryourhealth111-pixel/Vibe-Skills
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling,…
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding…
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection,…
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code,…
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the…
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use when architecting complex…