Implement Error Handling

Implement a consistent exception hierarchy and safe UI decorator for Python applications.

Updated Jan 21, 2026
One-click install
npx skills add https://github.com/Row0902/agents --skill implement-error-handling
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Implement Error Handling
Source: https://github.com/Row0902/agents/tree/main/.agent/skills/implement_error_handling
Command: npx skills add https://github.com/Row0902/agents --skill implement-error-handling

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Applications can crash unexpectedly without clear, maintainable error handling. This skill provides a consistent exception hierarchy, safe UI error handling, and boundary re-throwing to preserve context.

Core Features & Use Cases

  • Custom exception hierarchy for domain and service layers.
  • Safe UI decorator to prevent GUI crashes and show user-friendly dialogs.
  • Boundary pattern to convert low-level exceptions into domain errors with preserved stack trace.
  • Guidance and checks to ensure error handling consistency across layers.

Quick Start

Apply the safe_event decorator to UI event handlers to prevent crashes and display user-friendly error messages.

Frequently Asked Questions about Implement Error Handling

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

FAQPage Schema
How do I prevent my Python GUI application from crashing when an event handler fails?

Preserve stack traces during error handling by applying a boundary pattern that catches low-level exceptions and rethrows them as domain-specific errors with added context. This maintains the original stack trace for logging.

What is a custom exception hierarchy in Python for service layers?

Yes, this error handling strategy works across both GUI applications and service layers in Python projects, covering UI event handlers, service calls, and centralized logging to ensure robustness.

How do I implement error handling consistently across different application layers?

Yes, you can enforce error handling consistency by following a practical checklist provided by the strategy, which verifies that safe UI decorators and boundary rethrowing are applied correctly.

When should I convert low-level exceptions into domain errors in Python?

Convert low-level exceptions into domain errors at architectural boundaries using the boundary pattern. This prevents infrastructure details from leaking into business logic while preserving the original stack trace for debugging.