How does this skill improve the debugging process?

By implementing structured error hierarchies and wrapping errors with context, it ensures that logs and stack traces contain the specific metadata needed to resolve production issues quickly.

Can this skill help with distributed systems reliability?

Yes, it includes advanced universal patterns like Circuit Breakers and Retry logic specifically designed to manage service dependencies and prevent cascading failures.

What programming languages does this skill support?

This skill provides specialized patterns, best practices, and code examples for Python, TypeScript, JavaScript, Rust, and Go.

Does it support functional programming error handling?

Absolutely. It provides detailed guidance and implementation patterns for using Result and Option/Maybe types as safer alternatives to traditional try-catch exceptions.

Error Handling Patterns

Name: Error Handling Patterns
Author: wshobson

bywshobson

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23,194

API Development

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

About

The Error Handling Patterns skill empowers developers to build bulletproof applications by providing expert guidance on modern failure management across diverse ecosystems. It bridges the gap between different philosophies, such as traditional exception handling and functional Result types, offering language-specific implementations for Python, TypeScript, Rust, and Go. By integrating advanced resiliency patterns like exponential backoff, circuit breakers, and custom exception hierarchies, this skill enables Claude to help you design APIs that fail gracefully and provide clear, actionable debugging information for production-grade software.

Key Features

Comprehensive multi-language support for Python, TypeScript, Rust, and Go.
Expert guidance on choosing between Exceptions, Result types, and Option types.
23,194 GitHub stars
Standardized patterns for custom exception hierarchies and descriptive error messaging.
Strategies for managing asynchronous errors and concurrent failure propagation.
Implementation of advanced resilience patterns including Circuit Breakers and Retry with backoff.

Use Cases

Designing robust API error response schemas that enhance developer experience and observability.
Building fault-tolerant distributed systems that prevent cascading failures using circuit breakers.
Refactoring legacy codebases to adopt modern, structured error handling patterns.

About

Key Features

Comprehensive multi-language support for Python, TypeScript, Rust, and Go.
Expert guidance on choosing between Exceptions, Result types, and Option types.
23,194 GitHub stars
Standardized patterns for custom exception hierarchies and descriptive error messaging.
Strategies for managing asynchronous errors and concurrent failure propagation.
Implementation of advanced resilience patterns including Circuit Breakers and Retry with backoff.

Use Cases

Designing robust API error response schemas that enhance developer experience and observability.
Building fault-tolerant distributed systems that prevent cascading failures using circuit breakers.
Refactoring legacy codebases to adopt modern, structured error handling patterns.