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Grafana Dashboard

Checked
aj-geddes·vlatest·devops·MIT

This skill generates Grafana dashboards to visualize your data, providing instant insights and monitoring for improved performance.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill grafana-dashboard -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/grafana-dashboard/SKILL.md
Scanned
8 files, 363 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

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.