Discover Grafana datasources, metrics, and logs for monitoring coverage.
npx skills add https://github.com/grafana/gcx --skill explore-datasources
Please help me install this Agent Skill. Skill: explore-datasources Source: https://github.com/grafana/gcx/tree/main/claude-plugin/skills/explore-datasources Command: npx skills add https://github.com/grafana/gcx --skill explore-datasources
This skill helps you uncover what datasources, metrics, labels, and log streams exist in a Grafana instance to plan data-driven investigations.
Start by listing datasources and then explore metrics and logs to map data coverage.
High-intent search queries and answers about installing and using this skill.
To list available Grafana datasources, you can discover datasources in a Grafana instance to identify where your metrics and logs data resides. This process reveals datasource UIDs and types for planning data-driven investigations.
Finding metric labels and log streams across Prometheus and Loki involves retrieving metadata and label values from your Grafana datasources. This helps you understand data structure and assess monitoring coverage across different environments.
Yes, you can use Grafana datasource discovery to check which services are monitored across environments. By listing datasources and retrieving metadata, you can assess monitoring coverage across Prometheus, Loki, and other configured data sources.
To get a datasource UID in Grafana for new dashboards and alerts, you list and inspect available datasources within the instance. This discovery process identifies the appropriate datasource UID required for your follow-on queries.
Yes, Grafana datasource discovery supports reading metadata and labels to guide follow-on queries. It retrieves metrics metadata and label values to help you understand data structure and plan appropriate query strategies for investigations.
If you cannot locate a suitable datasource for your Grafana metrics and logs, use datasource discovery to inspect available instances and retrieve metadata. This maps your data coverage to identify the correct datasource UID for your needs.
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