Is this skill specific to a certain programming language?

No, the error taxonomy and diagnostic workflows are 85-90% transferable across all major programming languages and development platforms.

Does this skill include automated recovery patterns?

Yes, it provides five established recovery patterns, including Exponential Backoff for transient API errors and Circuit Breakers for preventing cascading failures.

How does this skill help reduce error rates?

It uses a 13-category taxonomy to classify errors and applies specific prevention tools, like path and file size validation, which are proven to prevent up to 23.7% of common failures.

When is the best time to use the Error Recovery skill?

It is most effective when your project experiences an error rate higher than 5%, when errors are recurring, or when you need a systematic framework for building error-handling infrastructure.

Error Recovery & Diagnosis

Name: Error Recovery & Diagnosis
Author: yaleh

byyaleh

•

Analytics & Monitoring

Automates the detection, classification, and resolution of system errors using a 13-category taxonomy and systematic recovery patterns.

This skill provides a comprehensive meta-cognition framework for managing errors within Claude Code by analyzing session history and applying a data-driven diagnostic methodology. It features a specialized 13-category taxonomy covering 95.4% of common failures, alongside eight diagnostic workflows and five recovery patterns like exponential backoff and circuit breakers. Validated against over 1,300 historical errors, this tool helps developers reduce MTTR (Mean Time to Resolve) and prevent recurring failures by implementing automated file validation and read-before-write checks that catch errors before they occur.

Key Features

0115 GitHub stars

0213-category error taxonomy for precise classification

03Proactive prevention tools for file operations and path validation

04Validated 23.7% error prevention rate based on historical data

058 automated diagnostic workflows for root cause analysis

065 production-ready recovery patterns including exponential backoff

Use Cases

01Reducing high error rates (>5%) in complex automation scripts

02Optimizing MTTR for recurring network or file system failures

03Establishing systematic error-handling infrastructure for new projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yaleh/meta-cc error-recovery

For use in Claude.ai and ChatGPT

Download Skill