How does this improve application reliability?

By implementing standardized error propagation and graceful degradation, it prevents cascading failures and ensures the application remains functional during partial outages.

Which programming languages does this skill support?

It provides specialized patterns for Python, TypeScript/JavaScript, Rust, and Go, as well as universal architectural patterns applicable to most modern stacks.

Is this skill useful for API design?

Absolutely. It provides best practices for designing error-resilient APIs with consistent status codes, custom error objects, and descriptive messages for consumers.

Does it favor Exceptions or Result types?

It covers both philosophies, providing guidance on when to use traditional try-catch exceptions versus explicit functional Result types based on the language and context.

Can it help with distributed systems?

Yes, it includes advanced patterns like Circuit Breakers and retries with exponential backoff specifically designed for handling failures in microservices.

Error Handling Patterns

Name: Error Handling Patterns
Author: EricGrill

byEricGrill

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API Development

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

About

This skill equips Claude with advanced knowledge of error handling philosophies and implementation patterns for Python, TypeScript, Rust, and Go. It facilitates the design of resilient APIs, the implementation of custom exception hierarchies, and the integration of sophisticated patterns like Circuit Breakers and exponential backoff retries. Whether you are debugging production issues or architecting a distributed system, this skill ensures your applications handle failures gracefully, prevent cascading outages, and provide meaningful diagnostic information for developers.

Key Features

Implementation of Result and Option types for functional error handling
2 GitHub stars
Advanced resilience patterns including Circuit Breakers and Retry logic
Best practices for async and concurrent error propagation
Language-specific patterns for Python, TypeScript, Rust, and Go
Guidance on creating custom exception hierarchies and structured errors

Use Cases

Refactoring legacy code to use modern Result types or custom exceptions
Architecting fault-tolerant distributed systems and resilient APIs
Implementing graceful degradation strategies for external service failures

About

Key Features

Implementation of Result and Option types for functional error handling
2 GitHub stars
Advanced resilience patterns including Circuit Breakers and Retry logic
Best practices for async and concurrent error propagation
Language-specific patterns for Python, TypeScript, Rust, and Go
Guidance on creating custom exception hierarchies and structured errors

Use Cases

Refactoring legacy code to use modern Result types or custom exceptions
Architecting fault-tolerant distributed systems and resilient APIs
Implementing graceful degradation strategies for external service failures