Does this skill support modern functional programming error patterns?

Yes, it includes patterns for Result and Option types used in functional languages like Rust and advanced TypeScript.

Which programming languages are covered?

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

How does this improve application debugging?

By implementing standardized error hierarchies and wrapping, it ensures stack traces and error details are preserved and informative for developers.

Can I use this for distributed systems?

Absolutely. It features the Circuit Breaker pattern and Exponential Backoff, which are essential for preventing cascading failures in microservices.

Robust Error Handling Patterns

Name: Robust Error Handling Patterns
Author: HermeticOrmus

byHermeticOrmus

•

API Development

Implements resilient error handling strategies, Result types, and recovery patterns across multiple programming languages to build fault-tolerant applications.

About

This skill empowers developers to transition from basic try-catch blocks to sophisticated, production-grade error management. It provides language-specific implementations for Python, TypeScript, Rust, and Go, covering advanced concepts like Result types, custom exception hierarchies, and the Circuit Breaker pattern. Use this skill when designing APIs, debugging production issues, or improving application reliability to ensure your software handles failures gracefully while providing clear, actionable feedback for both users and developers.

Key Features

Language-specific patterns for Python, TypeScript, Rust, and Go
Advanced recovery patterns including Exponential Backoff and Circuit Breakers
Standardized custom exception hierarchies and error wrapping
Best practices for async and concurrent error propagation
Implementation of Result and Option types for explicit error handling
1 GitHub stars

Use Cases

Designing resilient REST or GraphQL APIs with meaningful error responses
Adding fault tolerance to distributed systems and external service integrations
Refactoring legacy code to use modern, type-safe error handling patterns

About

Key Features

Language-specific patterns for Python, TypeScript, Rust, and Go
Advanced recovery patterns including Exponential Backoff and Circuit Breakers
Standardized custom exception hierarchies and error wrapping
Best practices for async and concurrent error propagation
Implementation of Result and Option types for explicit error handling
1 GitHub stars

Use Cases

Designing resilient REST or GraphQL APIs with meaningful error responses
Adding fault tolerance to distributed systems and external service integrations
Refactoring legacy code to use modern, type-safe error handling patterns