$ ~/registry/skill/anthropics-data-skills-build-dashboard

SKILL

build-dashboard

Name: build-dashboard
Author: anthropics

Create shareable interactive HTML dashboards with charts, filters, and tables.

Stars

★ 22,528

Source

GitHub

Updated

2026-07-11

// securityCaution

Prompt only, no code
Open source

Summary

The materials indicate this is essentially an open-source prompt-only skill for generating a self-contained HTML dashboard viewable in a browser. No keys, remote endpoints, or local execution capabilities are declared, so overall risk is low, though embedded source data in the output HTML should be reviewed if real datasets are used.

CredentialsLow risk

The materials explicitly state that no keys or environment variables are required, and the README does not request API tokens, credentials, or external service authentication, so no clear credential leakage or abuse surface is evident.

Network egressLow risk

No remote endpoints are declared; the description emphasizes a “self-contained” HTML file with “no server or dependencies required,” so the materials do not show a default path for data egress.

Code executionLow risk

The system flags it as prompt-only, and the documentation only describes generating an HTML dashboard workflow; it does not indicate local process spawning, script execution, or system-level capability use.

Data accessCaution

The skill can build dashboards from query results, pasted/uploaded data, or CSVs and embed the results into HTML; this means that if real business data is provided, the output file may contain raw or recoverable data, so sensitive-data minimization is advisable.

Supply chainLow risk

The source is an open-source GitHub repository, which provides auditability; although it has 0 stars, no declared license, and unknown maintenance status, there is no sign of closed-source exfiltration, malicious install steps, or other clear supply-chain red flags.

Recommendations

If using real data, remove personal data, secrets, and internal identifiers before building the dashboard.
Before sharing the generated HTML, review embedded JSON and tables for data that should not leave the intended scope.
If a data warehouse connector is later introduced, review that connector separately for network and permission boundaries.
Prefer pinning a specific version in a controlled repository and reviewing the prompt content yourself.

Audited by: gpt-5.4 · 2026-06-17

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "build-dashboard" skill from askskill:
1. Download https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/data/skills/build-dashboard/SKILL.md
2. Save it as ~/.claude/skills/build-dashboard/SKILL.md
3. Reload skills and tell me it's ready

// download

Download SKILL.mdInstall manifest ↗

// examples

Executive KPI Overview

Prompt

Build a single-file HTML dashboard from the following quarterly business data. Include KPI cards, a revenue trend chart, a regional distribution chart, a product-line comparison bar chart, and filters for region and month. Keep the style clean for executive reporting: {paste data here}

Expected

A shareable HTML dashboard highlighting key metrics with interactive filtering.

Query Results Visualization Report

Prompt

Turn these SQL query results into a self-contained HTML report. Include a data table, key statistical summaries, a category share pie chart, a time-series line chart, and support table search and sorting: {paste query results here}

Expected

A browser-openable interactive report for sharing query results and spotting insights quickly.

Team Monitoring Dashboard

Prompt

Create an interactive HTML monitoring dashboard for a team weekly review. Show task completion rate, ticket volume changes, a team workload table, and a risk items list, with filters for team member and priority: {paste data here}

Expected

An interactive monitoring dashboard file for team review and status tracking.

// docs

/build-dashboard - Build Interactive Dashboards

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Build a self-contained interactive HTML dashboard with charts, filters, tables, and professional styling. Opens directly in a browser -- no server or dependencies required.

Usage

/build-dashboard <description of dashboard> [data source]

Workflow

1. Understand the Dashboard Requirements

Determine:

Purpose: Executive overview, operational monitoring, deep-dive analysis, team reporting
Audience: Who will use this dashboard?
Key metrics: What numbers matter most?
Dimensions: What should users be able to filter or slice by?
Data source: Live query, pasted data, CSV file, or sample data

2. Gather the Data

If data warehouse is connected:

Query the necessary data
Embed the results as JSON within the HTML file

If data is pasted or uploaded:

Parse and clean the data
Embed as JSON in the dashboard

If working from a description without data:

Create a realistic sample dataset matching the described schema
Note in the dashboard that it uses sample data
Provide instructions for swapping in real data

3. Design the Dashboard Layout

Follow a standard dashboard layout pattern:

┌──────────────────────────────────────────────────┐
│  Dashboard Title                    [Filters ▼]  │
├────────────┬────────────┬────────────┬───────────┤
│  KPI Card  │  KPI Card  │  KPI Card  │ KPI Card  │
├────────────┴────────────┼────────────┴───────────┤
│                         │                        │
│    Primary Chart        │   Secondary Chart      │
│    (largest area)       │                        │
│                         │                        │
├─────────────────────────┴────────────────────────┤
│                                                  │
│    Detail Table (sortable, scrollable)           │
│                                                  │
└──────────────────────────────────────────────────┘

Adapt the layout to the content:

2-4 KPI cards at the top for headline numbers
1-3 charts in the middle section for trends and breakdowns
Optional detail table at the bottom for drill-down data
Filters in the header or sidebar depending on complexity

4. Build the HTML Dashboard

Generate a single self-contained HTML file using the base template below. The file includes:

Structure (HTML):

Semantic HTML5 layout
Responsive grid using CSS Grid or Flexbox
Filter controls (dropdowns, date pickers, toggles)
KPI cards with values and labels
Chart containers
Data table with sortable headers

Styling (CSS):

Professional color scheme (clean whites, grays, with accent colors for data)
Card-based layout with subtle shadows
Consistent typography (system fonts for fast loading)
Responsive design that works on different screen sizes
Print-friendly styles

Interactivity (JavaScript):

Chart.js for interactive charts (included via CDN)
Filter dropdowns that update all charts and tables simultaneously
Sortable table columns
Hover tooltips on charts
Number formatting (commas, currency, percentages)

Data (embedded JSON):

All data embedded directly in the HTML as JavaScript variables
No external data fetches required
Dashboard works completely offline

5. Implement Chart Types

Use Chart.js for all charts. Common dashboard chart patterns:

Line chart: Time series trends
Bar chart: Category comparisons
Doughnut chart: Composition (when <6 categories)
Stacked bar: Composition over time
Mixed (bar + line): Volume with rate overlay

Use the Chart.js integration patterns below for each chart type.

6. Add Interactivity

Use the filter and interactivity implementation patterns below for dropdown filters, date range filters, combined filter logic, sortable tables, and chart updates.

…

View full docs ↗