interactive-dashboard-builder

anthropics/knowledge-work-plugins · updated Jun 1, 2026

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$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill interactive-dashboard-builder
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summary

Self-contained HTML dashboards with Chart.js, filters, and professional styling.

  • Provides complete patterns for KPI cards, line/bar/doughnut charts, sortable data tables, and dropdown or date-range filters that update all visualizations instantly
  • Includes pre-built CSS system with responsive grid layouts, color variables, and print-friendly styling that works without external frameworks
  • Embeds all data and logic directly in a single HTML file; no server or build step required
  • Reco
skill.md

Interactive Dashboard Builder Skill

Patterns and techniques for building self-contained HTML/JS dashboards with Chart.js, filters, interactivity, and professional styling.

HTML/JS Dashboard Patterns

Base Template

Every dashboard follows this structure:

<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Dashboard Title</title>
    <script src="https://cdn.jsdelivr.net/npm/[email protected]" integrity="sha384-jb8JQMbMoBUzgWatfe6COACi2ljcDdZQ2OxczGA3bGNeWe+6DChMTBJemed7ZnvJ" crossorigin="anonymous"></script>
    <script src="https://cdn.jsdelivr.net/npm/[email protected]" integrity="sha384-cVMg8E3QFwTvGCDuK+ET4PD341jF3W8nO1auiXfuZNQkzbUUiBGLsIQUE+b1mxws" crossorigin="anonymous"></script>
    <style>
        /* Dashboard styles go here */
    </style>
</head>
<body>
    <div class="dashboard-container">
        <header class="dashboard-header">
            <h1>Dashboard Title</h1>
            <div class="filters">
                <!-- Filter controls -->
            </div>
        </header>

        <section class="kpi-row">
            <!-- KPI cards -->
        </section>

        <section class="chart-row">
            <!-- Chart containers -->
        </section>

        <section class="table-section">
            <!-- Data table -->
        </section>

        <footer class="dashboard-footer">
            <span>Data as of: <span id="data-date"></span></span>
        </footer>
    </div>

    <script>
        // Embedded data
        const DATA = [];

        // Dashboard logic
        class Dashboard {
            constructor(data) {
                this.rawData = data;
                this.filteredData = data;
                this.charts = {};
                this.init();
            }

            init() {
                this.setupFilters();
                this.renderKPIs();
                this.renderCharts();
                this.renderTable();
            }

            applyFilters() {
                // Filter logic
                this.filteredData = this.rawData.filter(row => {
                    // Apply each active filter
                    return true; // placeholder
                });
                this.renderKPIs();
                this.updateCharts();
                this.renderTable();
            }

            // ... methods for each section
        }

        const dashboard = new Dashboard(DATA);
    </script>
</body>
</html>

KPI Card Pattern

<div class="kpi-card">
    <div class="kpi-label">Total Revenue</div>
    <div class=<
how to use interactive-dashboard-builder

How to use interactive-dashboard-builder on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add interactive-dashboard-builder
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill interactive-dashboard-builder

The skills CLI fetches interactive-dashboard-builder from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/interactive-dashboard-builder

Reload or restart Cursor to activate interactive-dashboard-builder. Access the skill through slash commands (e.g., /interactive-dashboard-builder) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.545 reviews
  • Ira Srinivasan· Dec 20, 2024

    Solid pick for teams standardizing on skills: interactive-dashboard-builder is focused, and the summary matches what you get after install.

  • Noah Mehta· Dec 12, 2024

    interactive-dashboard-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kofi Farah· Dec 12, 2024

    interactive-dashboard-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 19, 2024

    Registry listing for interactive-dashboard-builder matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Harper Torres· Nov 3, 2024

    interactive-dashboard-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kofi Flores· Nov 3, 2024

    Useful defaults in interactive-dashboard-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Daniel Bhatia· Oct 22, 2024

    Keeps context tight: interactive-dashboard-builder is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Oct 10, 2024

    interactive-dashboard-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Sep 5, 2024

    I recommend interactive-dashboard-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ishan Khan· Sep 5, 2024

    interactive-dashboard-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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