Does it support functional error handling instead of exceptions?

Yes, it includes detailed implementations for Result and Option type patterns, which are ideal for explicit, type-safe error handling.

Which programming languages does this skill support?

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

How does it improve the debugging experience?

By implementing custom error hierarchies and structured error metadata, it helps developers create more descriptive logs and easier-to-trace stack traces.

Can this skill help with distributed system failures?

Absolutely. It includes universal patterns like the Circuit Breaker and Exponential Backoff specifically designed to prevent cascading failures in microservices.

When is the best time to use this skill with Claude?

Use it during the design phase of a new API, when debugging production reliability issues, or when setting up error handling standards for a new project.

Error Handling Patterns

Name: Error Handling Patterns
Author: drgaciw

bydrgaciw

Desarrollo de API

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

Acerca de

The Error Handling Patterns skill equips Claude with specialized knowledge for designing and implementing high-reliability software systems. It covers essential strategies ranging from language-specific exception hierarchies in Python and Go to functional error handling using Result and Option types in Rust and TypeScript. Beyond basic syntax, the skill provides architectural blueprints for advanced resiliency patterns like Circuit Breakers, Exponential Backoff, and Error Aggregation, ensuring applications can gracefully handle failures and provide clear diagnostic information for developers.

Características Principales

Custom exception hierarchies and context managers for resource cleanup
0 GitHub stars
Language-specific patterns for Python, TypeScript, Rust, and Go
Best practices for async error propagation and distributed system fault tolerance
Universal resiliency patterns including Circuit Breakers and Retry logic
Implementation of functional Result and Option types for explicit error handling

Casos de Uso

Implementing retry logic and fault tolerance for external service integrations
Refactoring legacy code to implement modern, functional error handling
Designing error-resilient APIs and backend services

Acerca de

Características Principales

Custom exception hierarchies and context managers for resource cleanup
0 GitHub stars
Language-specific patterns for Python, TypeScript, Rust, and Go
Best practices for async error propagation and distributed system fault tolerance
Universal resiliency patterns including Circuit Breakers and Retry logic
Implementation of functional Result and Option types for explicit error handling

Casos de Uso

Implementing retry logic and fault tolerance for external service integrations
Refactoring legacy code to implement modern, functional error handling
Designing error-resilient APIs and backend services