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Kpi Dashboard Design

Checked
wshobson·vlatest·data·MIT

Designs interactive KPI dashboards from data sources, visualizing key metrics and trends for informed decision-making.

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 wshobson/agents --skill kpi-dashboard-design -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

wshobson

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 wshobson/agents at 46891e7e60.

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

Scanned
2 files, 470 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

The kpi-dashboard-design skill enables AI agents to create visually appealing and functional KPI dashboards tailored to specific business needs. It includes features like data visualization, layout customization, and integration with data sources for real-time updates.

When to use it

  • To design a dashboard that tracks sales performance across different regions in real time.
  • For creating a management report that displays key operational metrics such as productivity and customer satisfaction.
  • When preparing a presentation for stakeholders that requires an interactive KPI overview.

Key capabilities

  • Customizable data visualization components (charts, graphs, tables).
  • Integration with external data sources like databases or APIs.
  • Responsive layout design for different screen sizes.
  • Real-time updates and dynamic filtering options.

Example prompts

  • "Design a dashboard to track monthly sales targets and actual performance."
  • "Create an interactive KPI dashboard that pulls in customer feedback scores from our CRM system."
  • "Build a responsive dashboard with charts showing user engagement metrics over the last quarter."

Tips & gotchas

  • Ensure your data sources are properly configured before using this skill to avoid integration errors.
  • Use clear and consistent labeling for visual elements to maintain readability, especially when presenting to non-technical audiences.