Which programming languages does this skill support?

It provides specialized patterns for Python, TypeScript/JavaScript, Rust, and Go, as well as universal patterns applicable to any modern programming language.

Does this skill help with distributed system failures?

Yes, it includes detailed implementations for the Circuit Breaker pattern and exponential backoff to prevent cascading failures in interconnected services.

What is the benefit of using Result types over Exceptions?

Result types make error handling explicit in the function signature, forcing developers to acknowledge and handle failures at compile-time, which reduces unexpected runtime crashes.

How does this improve the developer experience?

By providing standardized error hierarchies and context-rich error messages, it makes production issues significantly easier to debug and resolve.

Error Handling Patterns

Name: Error Handling Patterns
Author: HermeticOrmus

byHermeticOrmus

開発者ツール

Implements robust, multi-language error handling strategies to build resilient and fault-tolerant applications.

概要

This skill equips Claude with specialized knowledge to design and implement sophisticated error handling systems across Python, TypeScript, Rust, and Go. It covers high-level architectural patterns like Result types, custom exception hierarchies, and functional error propagation, as well as distributed systems reliability tools like Circuit Breakers and exponential backoff retries. By applying these patterns, developers can ensure their applications handle failures gracefully, provide clear debugging information, and maintain high availability even under adverse conditions.

主な機能

Language-specific implementations for Python, TypeScript, Rust, and Go
Advanced patterns including Result types and functional error handling
0 GitHub stars
Standardized custom exception and error hierarchy design
Resilience strategies like Circuit Breakers and retry logic
Best practices for async and concurrent error management

ユースケース

Refactoring legacy code to improve application reliability and observability
Designing fault-tolerant APIs and distributed microservices
Implementing graceful degradation for external service failures

概要

主な機能

Language-specific implementations for Python, TypeScript, Rust, and Go
Advanced patterns including Result types and functional error handling
0 GitHub stars
Standardized custom exception and error hierarchy design
Resilience strategies like Circuit Breakers and retry logic
Best practices for async and concurrent error management

ユースケース

Refactoring legacy code to improve application reliability and observability
Designing fault-tolerant APIs and distributed microservices
Implementing graceful degradation for external service failures