Set up Sentry error tracking, structured logging, health checks, and alerting.
npx skills add https://github.com/phrazzld/agent-skills --skill observability-phrazzld
Please help me install this Agent Skill. Skill: observability Source: https://github.com/phrazzld/agent-skills/tree/main/core/observability Command: npx skills add https://github.com/phrazzld/agent-skills --skill observability-phrazzld
This Skill addresses the challenge of setting up comprehensive observability for a project, ensuring errors are tracked, alerts are configured, and logs are structured, all with minimal services and CLI management.
/api/health endpoint for uptime monitoring.Run the script to audit your project's current observability setup and identify gaps.
High-intent search queries and answers about installing and using this skill.
Complete observability infrastructure is established by integrating Sentry for error tracking, configuring structured JSON logging, and setting up health checks. This provides robust production monitoring and automated alerting for rapid debugging.
Automated error analysis and remediation is achieved by setting up webhooks or MCP servers for AI integration. This allows an AI agent to automatically analyze root causes using Sentry data immediately after a critical production error occurs.
Alerting rules for new errors and critical issues are configured alongside Sentry error tracking. This setup automatically sends email alerts and can auto-create GitHub issues to ensure rapid response during production deployments.
The observability setup operates on a minimal service architecture driven by CLI management. It avoids heavy infrastructure by focusing on essential services, structured logging, and an `/api/health` endpoint for uptime monitoring.
Structured JSON logging is needed for application monitoring to ensure logs are easily parsable and analyzable. This format facilitates rapid debugging and allows automated systems to process error data efficiently.
You can audit your existing project to identify observability gaps by running a dedicated script. This evaluates your current setup against complete infrastructure standards, highlighting missing error tracking, logging, or alerting components.
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