Grafana Dashboard

The grafana-dashboard skill enables AI agents to create, configure, and manage Grafana dashboards directly through natural language commands. It automates the setup of visual monitoring panels for metrics, logs, and traces without requiring manual UI interaction or complex JSON configuration files.

When to use it

• Rapidly prototype new monitoring views for development environments before finalizing requirements.
• Generate standardized dashboard templates for new microservices or infrastructure components.
• Adjust visualization parameters (e.g., thresholds, time ranges) dynamically based on changing operational needs.
• Deploy pre-configured alerting rules alongside visual panels to ensure immediate incident detection.

Key capabilities

• Dashboard Creation: Instantly generate complete dashboard configurations from text descriptions.
• Panel Configuration: Define specific metrics, data sources, and visualization types (graphs, tables, gauges).
• Variable Management: Set up templating variables for flexible querying across multiple environments.
• Alert Rule Setup: Integrate alerting logic directly into the dashboard definition process.

Example prompts

• "Create a Grafana dashboard to monitor Kubernetes pod CPU and memory usage with a 5-minute refresh rate."
• "Generate a new dashboard panel showing daily active users from our PostgreSQL database, grouped by region."
• "Set up a monitoring dashboard for an API gateway that includes latency percentiles and error rate gauges."

Tips & gotchas

Ensure your AI agent has read access to the target data sources (e.g., Prometheus, InfluxDB) before requesting dashboard creation, as the skill relies on valid queries. Complex dashboards with inter-panel dependencies may require iterative refinement; start with a single panel and expand incrementally.