Automate New Relic dashboard creation and NRQL query validation against live data.
npx skills add https://github.com/kengou/go-guardian --skill newrelic-kengou
Please help me install this Agent Skill. Skill: newrelic Source: https://github.com/kengou/go-guardian/tree/main/skills/newrelic Command: npx skills add https://github.com/kengou/go-guardian --skill newrelic-kengou
New Relic dashboards and NRQL queries are essential for real-time observability but require careful setup, testing, and data discovery. This skill provides an automated, MCP-backed workflow to build, validate, and iterate dashboards and queries against live data, reducing guesswork and deployment risk.
Ask to build a New Relic dashboard for your service and verify NRQL queries against real data.
High-intent search queries and answers about installing and using this skill.
You can automate New Relic dashboard creation by using an MCP-backed workflow to build, test, and iterate NRQL queries against live data, reducing guesswork and deployment risk. This workflow discovers entities and alerts before presenting results.
Yes, you can trace golden signals and configure alerts for Kubernetes and distributed Go services. The workflow correlates golden signals, deployments, and logs to troubleshoot performance bottlenecks and incidents across your services and clusters.
The best way to troubleshoot performance bottlenecks is by correlating golden signals, deployments, and logs. This MCP-backed approach tests NRQL queries against live data to discover entities and alerts before presenting validated results.
Yes, this workflow requires real data access to test NRQL queries via MCP. It discovers entities and alerts against live data to ensure your New Relic dashboards and SLOs are validated before deployment.
You can discover entities and configure SLOs by writing and testing NRQL queries via MCP. This process validates observability configurations across your services and clusters before finalizing the New Relic dashboards.
Validating NRQL queries against live data reduces guesswork and deployment risk. It ensures your New Relic dashboards accurately reflect golden signals, SLOs, and alerts across Kubernetes and distributed Go services before they go live.
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