implementing-error-handling

Standardize error handling across Python, TypeScript, Rust, and Go with exception and Result patterns.

6|2|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/WesleySmits/agent-skills --skill implementing-error-handling
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implementing-error-handling
Source: https://github.com/WesleySmits/agent-skills/tree/main/.agent/skills/error-handling-patterns
Command: npx skills add https://github.com/WesleySmits/agent-skills --skill implementing-error-handling

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a unified approach to designing robust error handling across multiple languages, reducing bugs and improving debuggability and resilience in production systems.

Core Features & Use Cases

  • Cross-language error handling patterns including Exceptions, Result types, and error propagation with language-specific guidance for Python, TypeScript, Rust, and Go.
  • Best practices for meaningful messages, validation, structured errors, and strategies like retry and graceful degradation to improve reliability.
  • Real-world use cases such as API design, data processing pipelines, and distributed systems where robust error handling leads to maintainable and resilient software.

Quick Start

Provide a small multi-language example project and apply the documented error-handling patterns to implement robust error handling.

Frequently Asked Questions about implementing-error-handling

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

FAQPage Schema
How do I standardize error handling across Python, TypeScript, Rust, and Go?

To standardize error handling across Python, TypeScript, Rust, and Go, apply cross-language patterns like exceptions and Result types to ensure structured propagation and maintainable resilience in production.

What is the best way to implement error propagation in distributed systems?

The best way to implement error propagation in distributed systems involves using structured patterns, meaningful messages, and robust validation to achieve graceful degradation and maintainable reliability.

How do Result types work for cross-language error handling?

Result types work for cross-language error handling by enforcing structured patterns that replace exceptions in languages like Rust and Go, ensuring robust validation and clear error propagation.

When do I need structured error handling patterns in API design?

You need structured error handling patterns in API design when building real-world scenarios that require meaningful messages, graceful degradation, and robust validation to maintain production reliability.

Does this approach support graceful degradation in data processing pipelines?

Yes, this approach supports graceful degradation in data processing pipelines by enforcing structured patterns and robust validation to maintain resilience during real-world error scenarios.