How does this improve application reliability?

By implementing structured error propagation, retry logic with backoff, and graceful degradation, it ensures your application remains functional even when components fail.

Does this skill help with API design?

Yes, it includes best practices for designing error-resilient APIs, choosing status codes, and standardizing error messages for better developer experience.

When should I use the Circuit Breaker pattern?

You should use the Circuit Breaker pattern in distributed systems to prevent cascading failures when an external service or API becomes unresponsive.

What languages does this skill support?

It provides specialized patterns and code examples for Python, TypeScript/JavaScript, Rust, and Go.

Can it help me choose between Exceptions and Result types?

Absolutely. The skill provides a clear philosophy on when to use disruptions in control flow (Exceptions) versus explicit success/failure types (Result).

Error Handling Patterns

Name: Error Handling Patterns
Author: HermeticOrmus

byHermeticOrmus

安全与测试

Implements robust error handling strategies and resilient patterns like Circuit Breakers across multiple programming languages.

关于

Error Handling Patterns is a specialized skill for Claude Code that empowers developers to build highly resilient and fault-tolerant applications. It provides domain-specific guidance on choosing between exceptions and Result types, designing error-resilient APIs, and implementing advanced reliability patterns such as Circuit Breakers and exponential backoff. Whether you are debugging production issues or architecting new features in Python, TypeScript, Rust, or Go, this skill ensures your applications handle failures gracefully and provide clear, actionable feedback for both users and developers.

主要功能

Guidance on recoverable vs. unrecoverable error strategies
Context managers and cleanup logic for resource safety
0 GitHub stars
Advanced reliability patterns including Circuit Breakers and retries
Language-specific patterns for Python, TypeScript, Rust, and Go
Implementation of Result types and custom exception hierarchies

使用场景

Designing resilient microservices and distributed systems
Implementing graceful degradation for external service failures
Standardizing error responses across a large-scale API

关于

主要功能

Guidance on recoverable vs. unrecoverable error strategies
Context managers and cleanup logic for resource safety
0 GitHub stars
Advanced reliability patterns including Circuit Breakers and retries
Language-specific patterns for Python, TypeScript, Rust, and Go
Implementation of Result types and custom exception hierarchies

使用场景

Designing resilient microservices and distributed systems
Implementing graceful degradation for external service failures
Standardizing error responses across a large-scale API