Diagnose and recover from software errors using a 13-category taxonomy.
npx skills add https://github.com/yaleh/meta-cc --skill error-recovery-yaleh
Please help me install this Agent Skill. Skill: Error Recovery Source: https://github.com/yaleh/meta-cc/tree/main/.claude/skills/error-recovery Command: npx skills add https://github.com/yaleh/meta-cc --skill error-recovery-yaleh
This Skill provides a comprehensive error taxonomy, diagnostic workflows, recovery patterns, and prevention guidelines to reduce MTTR/MTTD and improve resilience across tools, APIs, and data processing.
Apply the 3 automation tools to a failing workflow, then follow the 8 diagnostic workflows to diagnose and recover.
High-intent search queries and answers about installing and using this skill.
Error recovery uses a 13-category taxonomy to classify failures across file operations, API calls, parsing, concurrency, networking, configuration, and authentication. Follow structured diagnostic workflows to isolate root causes, then apply one of five recovery patterns—retry with backoff, read-before-write, pagination, circuit breaking, or graceful degradation—to restore normal operation and reduce MTTR.
Apply three automation tools—path validation, file-size checks, and read-before-write verification—to catch errors before they propagate. Use eight diagnostic workflows to systematically isolate failures, then implement prevention guidelines across file operations, API calls, data validation, concurrency, and authentication to lower MTTR and MTTD.
Yes. Error recovery provides five reusable patterns for API calls and file operations: retry with backoff, read-before-write, pagination, circuit breaking, and graceful degradation. Combine these with automation tooling for path validation and size checks to enable fault containment and automated validation across your infrastructure.
Error recovery includes eight prevention guidelines and a taxonomy covering file operations, API calls, parsing, concurrency, networking, configuration, and authentication. Implement read-before-write verification, path validation, and file-size checks as automation tools to prevent common failure modes before they occur.
The 13-category taxonomy spans file operations, API calls, parsing errors, concurrency issues, networking failures, configuration problems, authentication errors, data validation failures, resource exhaustion, timeout errors, and dependency failures. Each category maps to diagnostic workflows and recovery patterns tailored to that error class.
Use diagnostic workflows when you face slow MTTR, slow MTTD, recurring failures, or need to build error-handling infrastructure at scale. The eight structured procedures isolate root causes systematically across the 13-category taxonomy, replacing guesswork with repeatable steps for file operations, APIs, validation, concurrency, and authentication.
derHakenTrace data flow and apply a four-phase process to fix root causes.
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sunLeeeDefine exception hierarchies, retry strategies, and circuit breaker patterns for error handling.
JeremyDev87Classify errors, interpret stack traces, and plan remediation steps.
