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SkillHub ClubAnalyze Data & AIFull StackBackendData / AI

Error Recovery

Comprehensive error handling methodology with 13-category taxonomy, diagnostic workflows, recovery patterns, and prevention guidelines. Use when error rate >5%, MTTD/MTTR too high, errors recurring, need systematic error prevention, or building error handling infrastructure. Provides error taxonomy (file operations, API calls, data validation, resource management, concurrency, configuration, dependency, network, parsing, state management, authentication, timeout, edge cases - 95.4% coverage), 8 diagnostic workflows, 5 recovery patterns, 8 prevention guidelines, 3 automation tools (file path validation, read-before-write check, file size validation - 23.7% error prevention). Validated with 1,336 historical errors, 85-90% transferability across languages/platforms, 0.79 confidence retrospective validation.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
16
Hot score
86
Updated
March 20, 2026
Overall rating
C3.5
Composite score
3.5
Best-practice grade
C55.6

Install command

npx @skill-hub/cli install yaleh-meta-cc-error-recovery

Repository

yaleh/meta-cc

Skill path: .claude/skills/error-recovery

Comprehensive error handling methodology with 13-category taxonomy, diagnostic workflows, recovery patterns, and prevention guidelines. Use when error rate >5%, MTTD/MTTR too high, errors recurring, need systematic error prevention, or building error handling infrastructure. Provides error taxonomy (file operations, API calls, data validation, resource management, concurrency, configuration, dependency, network, parsing, state management, authentication, timeout, edge cases - 95.4% coverage), 8 diagnostic workflows, 5 recovery patterns, 8 prevention guidelines, 3 automation tools (file path validation, read-before-write check, file size validation - 23.7% error prevention). Validated with 1,336 historical errors, 85-90% transferability across languages/platforms, 0.79 confidence retrospective validation.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Backend, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: yaleh.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install Error Recovery into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/yaleh/meta-cc before adding Error Recovery to shared team environments
  • Use Error Recovery for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Error Recovery | SkillHub