M06 Error Handling

What it does

This skill enables AI agents to effectively detect, log, and recover from errors in backend systems. It includes mechanisms for graceful degradation, error categorization, and automated retries when appropriate.

When to use it

• When building resilient backend services that must handle unexpected failures gracefully
• During system maintenance or updates where temporary errors are likely
• In distributed systems where network or service dependencies may fail intermittently

Key capabilities

• Automatic detection of runtime errors
• Categorization of errors by severity and type
• Logging and alerting for critical issues
• Retry logic for transient failures
• Graceful fallback mechanisms

Example prompts

• "Handle a database connection failure in the user authentication service"
• "Log all HTTP 500 errors with timestamps and stack traces"
• "Implement retry logic for failed API calls to external services"

Tips & gotchas

• Ensure proper error classification to avoid unnecessary retries on permanent failures.
• Use structured logging formats (e.g., JSON) for easier debugging and monitoring.