error-handling-patterns

Standardize error handling across Python, TypeScript, Rust, and Go.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/caicedov/netwatch --skill error-handling-patterns-caicedov
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: error-handling-patterns
Source: https://github.com/caicedov/netwatch/tree/main/.github/skills/error-handling-patterns
Command: npx skills add https://github.com/caicedov/netwatch --skill error-handling-patterns-caicedov

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers design and implement robust error handling across languages, reducing debugging time and improving system reliability by promoting consistent patterns for exceptions, result types, and error propagation.

Core Features & Use Cases

  • Cross-language patterns: Exceptions vs Result types, error codes, and Option/Maybe for nullable values.
  • Language-specific patterns: practical examples in Python, TypeScript, Rust, and Go to illustrate best practices.
  • Reliability patterns: Circuit breakers, error aggregation, and graceful degradation to prevent cascading failures.

Quick Start

Review the error-handling samples across Python, TypeScript, Rust, and Go in this Skill and adapt them to your project by implementing a small error-handling module and applying circuit breakers, error aggregation, and typed errors.

Frequently Asked Questions about error-handling-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to handle errors across Python, TypeScript, Rust, and Go?

Cross-language error handling standardizes exceptions, result types, and error propagation to reduce crashes and debugging time. It applies language-specific best practices in Python, TypeScript, Rust, and Go to ensure consistent backend service reliability.

How do I implement a circuit breaker for graceful degradation in backend APIs?

Graceful degradation uses circuit breaker patterns to prevent cascading failures in backend APIs. By implementing error aggregation and proper error propagation, services can detect failures and degrade functionality smoothly without crashing the entire system.

When should I use result types instead of exceptions for error handling?

Result types offer typed error handling without control flow disruption, unlike exceptions which unwind the call stack. Use result types when you need explicit error aggregation and predictable propagation, especially in languages like Rust or Go that favor typed errors over exceptions.

Can I apply cross-language error handling patterns to asynchronous workflows?

Yes, cross-language error handling patterns apply to asynchronous workflows in backend services. They cover proper error propagation and typed errors, ensuring that failures in async tasks are caught, aggregated, and handled gracefully across Python, TypeScript, Rust, and Go.

Why does my error handling cause cascading failures in multi-language microservices?

Cascading failures occur when error handling lacks proper propagation and graceful degradation. Implementing circuit breakers, error aggregation, and typed errors across your services prevents localized failures from crashing the entire multi-language backend architecture.