What programming languages does this skill support?

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

Can this skill help with functional programming error handling?

Absolutely. It includes detailed guidance on using Result and Option types for explicit error handling, which is a hallmark of functional and type-safe programming.

Does it include patterns for distributed systems?

Yes, it covers universal resiliency patterns such as Circuit Breakers and Exponential Backoff to prevent failures from cascading across services.

When is the best time to use the Error Handling Patterns skill?

It is most effective when designing new API contracts, implementing complex async logic, or performing audits of application reliability and debugging experiences.

Error Handling Patterns

Name: Error Handling Patterns
Author: HermeticOrmus

byHermeticOrmus

Seguridad y Pruebas

Implements robust error handling strategies and resilient application patterns across multiple programming languages to ensure software stability.

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This skill provides Claude with specialized knowledge to design and implement fault-tolerant software architectures using advanced error handling techniques. It covers a wide range of paradigms, including traditional exception hierarchies, functional Result types, and distributed system patterns like circuit breakers and exponential backoff. By applying language-specific best practices for Python, TypeScript, Rust, and Go, it helps developers build applications that degrade gracefully under pressure, provide clear debugging paths, and maintain high reliability in production environments.

Características Principales

Language-specific implementation of custom exception hierarchies
0 GitHub stars
Circuit breaker patterns to prevent cascading system failures
Async and concurrent error propagation strategies
Automated retry logic with exponential backoff configurations
Functional error handling using Result and Option types

Casos de Uso

Designing resilient APIs that provide meaningful error responses and status codes
Implementing fault-tolerant communication between distributed microservices
Refactoring legacy codebases to improve application reliability and observability

Acerca de

Características Principales

Language-specific implementation of custom exception hierarchies
0 GitHub stars
Circuit breaker patterns to prevent cascading system failures
Async and concurrent error propagation strategies
Automated retry logic with exponential backoff configurations
Functional error handling using Result and Option types

Casos de Uso

Designing resilient APIs that provide meaningful error responses and status codes
Implementing fault-tolerant communication between distributed microservices
Refactoring legacy codebases to improve application reliability and observability