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Creating Dashboards

Checked
ancoleman·vlatest·data·MIT

This skill generates customizable data visualizations (dashboards) to quickly monitor key metrics and gain actionable insights from your information.

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 ancoleman/ai-design-components --skill creating-dashboards -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

ancoleman

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 ancoleman/ai-design-components at 76551b7b19.

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

Commit
76551b7b19
Manifest
skills/creating-dashboards/SKILL.md
Scanned
24 files, 9,282 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

What it does

This skill enables AI agents to generate visual dashboards from data sources, transforming raw metrics into interactive, real-time monitoring interfaces. It allows for the dynamic creation of layout structures and chart configurations tailored to specific business or technical requirements.

When to use it

  • Real-time Monitoring: Set up live tracking panels for server health, API latency, or database performance metrics.
  • Executive Reporting: Automatically generate high-level summary views for leadership teams without manual data aggregation.
  • Operational Overviews: Create custom control centers for DevOps teams to visualize deployment pipelines and incident rates.
  • Data Visualization Prototyping: Rapidly sketch out dashboard wireframes to validate data relationships before building full applications.

Key capabilities

  • Generates interactive visual layouts based on specified data points.
  • Configures various chart types (e.g., line graphs, bar charts) for different metric visualizations.
  • Structures complex data sets into coherent, readable grid systems.
  • Adapts dashboard designs to fit specific aesthetic or functional constraints.

Example prompts

  • "Create a real-time server monitoring dashboard showing CPU usage, memory consumption, and active connections over the last 24 hours."
  • "Design an executive summary view displaying monthly revenue trends and customer acquisition costs using line and bar charts."
  • "Build a DevOps pipeline status board that visualizes build success rates and deployment frequency for our microservices architecture."

Tips & gotchas

Ensure your AI agent has access to the necessary data sources or API endpoints before requesting dashboard generation. For complex layouts, provide clear descriptions of the desired grid structure to avoid cluttered or misaligned visualizations.