Can I use this for API development?

Absolutely. It provides best practices for designing error-resilient APIs, including proper status code mapping and handling external service failures gracefully.

Does it include advanced architectural patterns?

Yes, it includes universal patterns like the Circuit Breaker to prevent cascading failures and Error Aggregation for handling multiple concurrent operations.

Which programming languages does this error handling skill support?

The skill provides specific, idiomatic patterns for Python, TypeScript/JavaScript, Rust, and Go, covering both exception-based and Result-type based approaches.

How does this help with debugging production issues?

It focuses on creating structured error hierarchies and meaningful messages that provide context (like error codes and metadata), making it significantly easier to trace and fix production bugs.

Error Handling Patterns

Name: Error Handling Patterns
Author: Activer007

byActiver007

API 개발

Implements robust error handling strategies across multiple programming languages to build resilient, fault-tolerant applications.

소개

This skill provides Claude with deep expertise in designing and implementing error-resilient software systems across a variety of programming environments. It covers essential error handling philosophies, including the choice between Exceptions and Result types, while providing specific implementation patterns for Python, TypeScript, Rust, and Go. By applying this skill, developers can implement advanced architectural patterns like Circuit Breakers and exponential backoff retries, ensuring that applications degrade gracefully under pressure and provide superior debugging experiences through structured logging and meaningful error hierarchies.

주요 기능

0 GitHub stars
Retry logic with exponential backoff and jitter
Language-specific patterns for Python, TypeScript, Rust, and Go
Advanced reliability patterns including Circuit Breakers
Custom exception hierarchy and error wrapping design
Implementation of functional Result and Option types

사용 사례

Refactoring legacy code to improve application reliability and observability
Designing production-grade API error responses and status codes
Building fault-tolerant distributed systems and microservices

소개

주요 기능

0 GitHub stars
Retry logic with exponential backoff and jitter
Language-specific patterns for Python, TypeScript, Rust, and Go
Advanced reliability patterns including Circuit Breakers
Custom exception hierarchy and error wrapping design
Implementation of functional Result and Option types

사용 사례

Refactoring legacy code to improve application reliability and observability
Designing production-grade API error responses and status codes
Building fault-tolerant distributed systems and microservices