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.