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.