Which programming languages does this skill support?

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

Does it include guidance on user-facing error messages?

Yes, it focuses on creating structured error details that benefit both developer debugging and end-user clarity.

How does this improve API design?

It provides templates for standardized error objects, ensuring your API communicates failures consistently across different endpoints.

What is the difference between Exceptions and Result types in this skill?

The skill helps you decide between traditional control-flow exceptions for unexpected errors and explicit Result types for expected domain-level failures.

Can this skill help with microservices reliability?

Yes, it includes advanced patterns like Circuit Breakers and exponential backoff retries designed to prevent cascading failures in distributed systems.

Error Handling Patterns

Name: Error Handling Patterns
Author: HermeticOrmus

byHermeticOrmus

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Herramientas para Desarrolladores

Builds resilient applications using advanced error handling strategies, Result types, and fault-tolerant architectural patterns.

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The Error Handling Patterns skill equips Claude with specialized knowledge to implement robust failure-recovery logic across diverse programming environments. It covers everything from traditional exception hierarchies in Python to modern functional Result types in Rust and TypeScript, as well as distributed systems patterns like Circuit Breakers. This skill is indispensable for developers aiming to improve application reliability, enhance debugging experiences, and design APIs that fail gracefully under pressure.

Características Principales

Best practices for asynchronous error propagation and cleanup
Guidance on creating structured, hierarchical custom exceptions
Distributed system reliability patterns like Circuit Breakers and retries
Functional programming patterns including Result and Option types
Multi-language implementation patterns for Python, TypeScript, Rust, and Go
2 GitHub stars

Casos de Uso

Standardizing error responses and status codes in API design
Building fault-tolerant distributed systems and microservices
Refactoring legacy codebases to improve observability and debugging

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Características Principales

Best practices for asynchronous error propagation and cleanup
Guidance on creating structured, hierarchical custom exceptions
Distributed system reliability patterns like Circuit Breakers and retries
Functional programming patterns including Result and Option types
Multi-language implementation patterns for Python, TypeScript, Rust, and Go
2 GitHub stars

Casos de Uso

Standardizing error responses and status codes in API design
Building fault-tolerant distributed systems and microservices
Refactoring legacy codebases to improve observability and debugging