Error Handling Analysis

Audit error handling across codebases for capture, messaging, logging, and recovery.

3|Updated Nov 21, 2025
One-click install
npx skills add https://github.com/InfinityBowman/corates --skill error-handling-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Error Handling Analysis
Source: https://github.com/InfinityBowman/corates/tree/main/.claude/plugins/codebase-analysis/skills/error-handling
Command: npx skills add https://github.com/InfinityBowman/corates --skill error-handling-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This framework provides a structured approach to evaluate and improve how a codebase handles errors, focusing on debuggability, user experience, and resilience during failures.

Core Features & Use Cases

  • Guided error capture and propagation criteria: assess where errors are caught, preserved context, and how failures are surfaced.
  • Error types, codes, and consistency: review the taxonomy of errors and ensure uniform handling across modules.
  • User-facing messages and API responses: ensure messages are actionable, non-technical for users, and include actionable details for developers.
  • Observability and logging guidance: prescribe structured logs, correlation IDs, and appropriate log levels to trace failures.
  • Recovery patterns and testability: define retry, fallback, and circuit-breaker strategies; enable verifiable test coverage.
  • Use Case examples: apply the framework to audits of REST APIs, UI components, and background jobs to demonstrate improvements.

Quick Start

Use this framework to initiate an error-handling audit on your project by following these steps:

  • Step 1: Map error boundaries across frontend, backend, and services.
  • Step 2: Apply the framework's criteria to identify gaps in error capture, messages, logging, and recovery.
  • Step 3: Document findings in a structured report and implement recommended changes, then re-audit.

Frequently Asked Questions about Error Handling Analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I audit error handling quality across frontend and backend modules?▼

To audit error handling quality, map error boundaries across services, apply criteria to identify gaps in error capture, logging, and recovery, then document findings in a structured report for implementation.

What is the best way to ensure consistent error types and actionable API responses?▼

Ensuring consistent error types involves reviewing the error taxonomy to enforce uniform handling across modules, while API responses should provide non-technical actionable messages for users and detailed context for developers.

How do I improve code robustness by evaluating error propagation and capture?▼

Evaluating error capture and propagation improves robustness by assessing where errors are caught, verifying preserved context, and ensuring failures are surfaced consistently across integration points.

How do I implement structured logging and observability for tracing application failures?▼

Implementing structured logging for observability requires prescribing appropriate log levels and correlation IDs, enabling reliable tracing of failures across REST APIs, UI components, and background jobs.

What recovery patterns should I use for resilient error handling in background jobs?▼

Resilient error handling recovery patterns include defining retry, fallback, and circuit-breaker strategies, which enable verifiable test coverage and reliable recovery paths during background job failures.

Does this error analysis framework work for both REST APIs and UI components?▼

Yes, this error analysis framework applies to both REST APIs and UI components, guiding audits of error boundaries, messaging, and observability across diverse services and integration points.