error-handling-patterns

Implement error handling patterns across Python, TypeScript, Rust, and Go.

6|1|Updated Feb 27, 2026
One-click install
npx skills add https://github.com/RepairYourTech/cfsa-antigravity --skill error-handling-patterns-repairyourtech
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: error-handling-patterns
Source: https://github.com/RepairYourTech/cfsa-antigravity/tree/main/.agent/skills/error-handling-patterns
Command: npx skills add https://github.com/RepairYourTech/cfsa-antigravity --skill error-handling-patterns-repairyourtech

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the critical need for robust error handling in software development, enabling the creation of applications that are resilient to failures and provide clear debugging experiences.

Core Features & Use Cases

  • Master Error Handling Patterns: Learn and implement strategies across various languages, including exceptions, Result types, error propagation, and graceful degradation.
  • Build Resilient Applications: Design APIs and systems that gracefully handle failures, improve reliability, and offer better error messages.
  • Use Case: When developing a new microservice, use this Skill to define a consistent error propagation strategy across all layers, ensuring that upstream errors are caught, wrapped, and translated before reaching the client, and implement a circuit breaker pattern to prevent cascading failures.

Quick Start

Use the error-handling-patterns skill to define a global error envelope for API responses.

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 implement error handling across different programming languages?

The best way to implement error handling is by using universal patterns like exceptions and Result types. This approach ensures resilient applications by providing clear error categories and consistent propagation strategies across Python, TypeScript, Rust, and Go.

How do I prevent cascading failures in a microservice architecture?

To prevent cascading failures in a microservice, implement the circuit breaker pattern to stop downstream calls during outages. Combine this with error aggregation and graceful degradation to maintain partial functionality and isolate faults.

When should I use Result types instead of exceptions for error propagation?

Use Result types instead of exceptions when you want explicit, compiler-checked error propagation without control flow disruption. This pattern is particularly effective in languages like Rust and Go for building predictable, fault-tolerant application logic.

How do I define a consistent error propagation strategy for API responses?

Define a global error envelope for API responses to ensure consistent error propagation. Catch, wrap, and translate upstream errors before they reach the client, improving debugging experiences and API reliability across all service layers.

Does this error handling guidance apply to both Python and Rust environments?

Yes, this error handling guidance applies to both Python and Rust, as well as TypeScript and Go. It covers language-specific implementations for exceptions and Result types, ensuring fault-tolerant applications across multiple programming environments.