Error Handling Patterns

What it does

This skill provides patterns and best practices for robust error handling in backend systems. It helps AI agents design applications that gracefully manage unexpected situations, provide informative feedback to users, and maintain stability under stress. The skill focuses on practical implementation rather than theoretical concepts.

When to use it

• When designing a new API endpoint where you need to anticipate and handle various failure scenarios.
• During code reviews of backend services to ensure consistent error handling practices are followed.
• To refactor existing codebases with inconsistent or inadequate error handling.
• When implementing retry mechanisms for unreliable external dependencies.

Key capabilities

• Provides patterns for structured error responses (e.g., JSON format).
• Offers guidance on logging errors effectively for debugging and monitoring.
• Includes strategies for creating custom error types and exceptions.
• Suggests best practices for handling different error severity levels.

Example prompts

• "Generate a Python function to handle a database connection error, returning a user-friendly message."
• "Show me an example of a structured JSON error response for a 404 Not Found error."
• "What are some common patterns for retrying failed API calls?"

Tips & gotchas

This skill assumes basic familiarity with backend development concepts and programming. While it provides patterns, adapting them to specific contexts requires understanding the underlying system's architecture.