Error Tracking

概要

Establish a robust framework for monitoring application health by enforcing mandatory error capturing and performance instrumentation across your entire stack. This skill provides standardized implementation patterns for Python and TypeScript environments, covering API route handling, service layer logic, background jobs, and database performance spans. By utilizing these guidelines, developers ensure that no exception goes unlogged and that every failure includes the critical context—such as user identity and environment tags—required for rapid debugging and long-term system stability.

主な機能

• Standardized integration patterns for Python and TypeScript frameworks
• Guidance on severity leveling and monitoring configuration templates
• Mandatory error capture protocols to eliminate silent failures
• Performance instrumentation using custom spans for slow operations
• 0 GitHub stars
• Rich context injection including user data and environment tags

ユースケース

• Refactoring existing code to ensure consistent error handling
• Setting up Sentry or Datadog in a new backend service
• Instrumenting background workers and cron tasks for better observability