Can this skill help with microservices stability?

Yes, it includes universal patterns like the Circuit Breaker and Exponential Backoff, which are essential for preventing cascading failures in distributed systems.

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

The skill covers both; Exceptions are for unexpected failures, while Result types are used for functional, explicit error handling that improves type safety and predictability.

Does it provide guidance on user-facing error messages?

Yes, the skill emphasizes creating structured error hierarchies that separate internal debugging details from user-friendly error communications.

How does it handle asynchronous errors?

It includes specific patterns for async/await error handling and promise management to ensure background tasks don't cause silent failures.

Which programming languages does this skill support?

This skill provides specialized patterns and production-ready code examples for Python, TypeScript/JavaScript, Rust, and Go.

Robust Error Handling Patterns

Name: Robust Error Handling Patterns
Author: HermeticOrmus

byHermeticOrmus

•

API Development

Implements resilient error handling strategies, custom exception hierarchies, and failure recovery patterns across multiple programming languages.

About

The Error Handling Patterns skill equips Claude with advanced methodologies for building reliable software, moving beyond simple try-catch blocks to sophisticated paradigms like Result types, custom exception hierarchies, and distributed system patterns. It provides specific, production-ready implementations for Python, TypeScript, Go, and Rust, helping developers manage both recoverable and unrecoverable errors. By applying these patterns, you can improve application reliability, create better developer experiences through structured logging, and prevent cascading failures in complex systems using tools like circuit breakers and exponential backoff.

Key Features

Explicit error handling using Result and Option/Maybe types
Advanced distributed patterns including Circuit Breakers and Retries
Custom exception hierarchy design for improved observability
Context managers and middleware for graceful failure recovery
2 GitHub stars
Language-specific implementations for Python, TypeScript, Rust, and Go

Use Cases

Implementing fault-tolerant logic for distributed systems and microservices
Designing error-resilient APIs and mission-critical backend services
Refactoring legacy codebases to improve reliability and debugging speed

About

Key Features

Explicit error handling using Result and Option/Maybe types
Advanced distributed patterns including Circuit Breakers and Retries
Custom exception hierarchy design for improved observability
Context managers and middleware for graceful failure recovery
2 GitHub stars
Language-specific implementations for Python, TypeScript, Rust, and Go

Use Cases

Implementing fault-tolerant logic for distributed systems and microservices
Designing error-resilient APIs and mission-critical backend services
Refactoring legacy codebases to improve reliability and debugging speed