Skill detail

build-dashboard

Builds interactive HTML dashboards with KPI cards, charts, filters, and tables as a self-contained browser-openable file. Directly covers dashboard layout, chart choice, and interaction.

MatchDirectRecommended for Dashboard Design
Sourceanthropics/​knowledge-work-pluginsExternal source
Reported installs8,700Popularity signal only

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SKILL.md

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---
name: build-dashboard
description: Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
argument-hint: "<description> [data source]"
---

# /build-dashboard - Build Interactive Dashboards

> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../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:**
1. Query the necessary data
2. Embed the results as JSON within the HTML file

**If data is pasted or uploaded:**
1. Parse and clean the data
2. Embed as JSON in the dashboard

**If working from a description without data:**
1. Create a realistic sample dataset matching the described schema
2. Note in the dashboard that it uses sample data
3. 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**: 
Read the full source on GitHub (opens external page)
Context

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