Can this skill help with distributed system failures?

Yes, it includes universal patterns like Circuit Breakers and Error Aggregation specifically designed to prevent cascading failures in distributed environments.

Does it prefer Exceptions or Result types?

It provides guidance for both, helping you choose between traditional Exceptions for unexpected conditions and Result/Option types for expected domain errors.

Which programming languages does this skill support?

The skill provides detailed patterns and specific code implementations for Python, TypeScript/JavaScript, Rust, and Go.

How does this improve the debugging experience?

It focuses on creating custom error hierarchies and proper error wrapping, ensuring that logs and tracebacks contain the specific context needed to resolve issues quickly.

Error Handling Patterns

Name: Error Handling Patterns
Author: Activer007

byActiver007

API Development

Implements robust error handling strategies and resilient patterns across multiple programming languages to improve application reliability and debugging.

About

This skill equips Claude with advanced knowledge of modern error handling paradigms, ranging from traditional exception hierarchies and context managers to functional Result types and distributed system patterns like Circuit Breakers. It provides language-specific implementation guides for Python, TypeScript, Rust, and Go, ensuring your applications gracefully handle failures, provide meaningful feedback to developers, and maintain operational stability under stress. Whether you are designing fault-tolerant APIs or debugging production issues, this skill provides the implementation patterns needed to build truly resilient software.

Key Features

Custom exception hierarchy design for better debugging
Retry logic with exponential backoff and jitter strategies
Language-specific patterns for Python, TypeScript, Rust, and Go
Implementation of functional Result types and error propagation
0 GitHub stars
Distributed system resiliency patterns like Circuit Breakers

Use Cases

Refactoring legacy code to use modern, explicit error handling
Designing error-resilient APIs and backend microservices
Implementing graceful degradation for external service dependencies

About

Key Features

Custom exception hierarchy design for better debugging
Retry logic with exponential backoff and jitter strategies
Language-specific patterns for Python, TypeScript, Rust, and Go
Implementation of functional Result types and error propagation
0 GitHub stars
Distributed system resiliency patterns like Circuit Breakers

Use Cases

Refactoring legacy code to use modern, explicit error handling
Designing error-resilient APIs and backend microservices
Implementing graceful degradation for external service dependencies