Agent skill

Creating Dashboards

by ancoleman in ancoleman/ai-design-components

Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts.

MITAuto-check passedData & Analytics

Install Creating Dashboards

skills CLI
$ npx skills add ancoleman/ai-design-components --skill creating-dashboards -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ancoleman/ai-design-components creating-dashboards --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/creating-dashboards .claude/skills/creating-dashboards && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
creating-dashboards
GitHub stars
526
Token cost
~3.5k tokens
SKILL.md length
733 words
Files
25 (incl. scripts, references, assets)
Skills in repo
75
Repo updated
First seen
Licence
MIT

At a glance

Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts.

  • Works in 5 steps: Choose Dashboard Architecture → Set Up Global State Management → Implement Data Fetching Strategy → …
  • Building business intelligence dashboards
  • SKILL.md covers Purpose, When to Use, Core Dashboard Elements and Implementation Approach, plus 5 more sections
  • Calls npm and python

What it does

Creating Dashboards is an agent skill from ancoleman/ai-design-components. Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 27 other files, including scripts, reference files and assets (for example `assets/dashboard-templates.json`, `assets/grid-layouts.json` and `assets/kpi-formats.json`).

It sits in Data & Analytics, covering OKRs and executive reporting, Data visualization and Realtime and WebSockets. The repository describes itself as: Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude. The licence is MIT.

When your agent uses it

  • Building business intelligence dashboards
  • Monitoring systems
  • Executive reports
  • Any interface that requires multiple coordinated data displays with filters

Example prompts

  • “Use the creating-dashboards skill to create comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time…”
  • “/creating-dashboards”

Requirements

  • Python 3
  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Choose Dashboard Architecture
  2. Set Up Global State Management
  3. Implement Data Fetching Strategy
  4. Configure Real-Time Updates
  5. Apply Responsive Design

What it can do on your machine

Read from SKILL.md and the folder at commit 76551b7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    Shell commands in SKILL.md call:

    • npm
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Creating Dashboards loads about 3.5k tokens when it runs, and up to ~30k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 733 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~30k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from ancoleman/ai-design-components at commit 76551b7, republished under its MIT licence (© ancoleman). 733 words, ~3,459 tokens.

Download SKILL.mdSave it as .claude/skills/creating-dashboards/SKILL.md (or your agent's skills folder). This skill also uses 24 other files; get the full folder from GitHub.
name
creating-dashboards
description
Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.

Creating Dashboards

Purpose

This skill enables the creation of sophisticated dashboard interfaces that aggregate and present data through coordinated widgets including KPI cards, charts, tables, and filters. Dashboards serve as centralized command centers for data-driven decision making, combining multiple component types from other skills (data-viz, tables, design-tokens) into unified analytics experiences with real-time updates, responsive layouts, and interactive filtering.

When to Use

Activate this skill when:

  • Building business intelligence or analytics dashboards
  • Creating executive reporting interfaces
  • Implementing real-time monitoring systems
  • Designing KPI displays with metrics and trends
  • Developing customizable widget-based layouts
  • Coordinating filters across multiple data displays
  • Building responsive data-heavy interfaces
  • Implementing drag-and-drop dashboard editors
  • Creating template-based analytics systems
  • Designing multi-tenant SaaS dashboards

Core Dashboard Elements

KPI Card Anatomy
┌────────────────────────────┐
│ Revenue (This Month)       │ ← Label with time period
│                            │
│  $1,245,832               │ ← Big number (primary metric)
│  ↑ 15.3% vs last month    │ ← Trend indicator with comparison
│  ▂▃▅▆▇█ (sparkline)       │ ← Mini visualization
└────────────────────────────┘
Widget Container Structure
  • Title bar with widget name and actions
  • Loading state (skeleton or spinner)
  • Error boundary with retry option
  • Resize handles for adjustable layouts
  • Settings menu (export, configure, refresh)
Dashboard Layout Types

Fixed Layout: Designer-defined placement, consistent across users Customizable Grid: User drag-and-drop, resizable widgets, saved layouts Template-Based: Pre-built patterns, industry-specific starting points

Global Dashboard Controls
  • Date range picker (affects all widgets)
  • Filter panel (coordinated across widgets)
  • Refresh controls (manual/auto-refresh)
  • Export actions (PDF, image, data)
  • Theme switcher (light/dark/custom)

Implementation Approach

1. Choose Dashboard Architecture

For Quick Analytics Dashboard → Use Tremor Pre-built KPI cards, charts, and tables with minimal code:

bash
npm install @tremor/react

For Customizable Dashboard → Use react-grid-layout Drag-and-drop, resizable widgets, user-defined layouts:

bash
npm install react-grid-layout
2. Set Up Global State Management

Implement filter context for cross-widget coordination:

tsx
// Dashboard context for shared filters
const DashboardContext = createContext({
  filters: { dateRange: null, categories: [] },
  setFilters: () => {},
  refreshInterval: 30000
});

// Wrap dashboard with provider
<DashboardContext.Provider value={dashboardState}>
  <FilterPanel />
  <WidgetGrid />
</DashboardContext.Provider>
3. Implement Data Fetching Strategy

Parallel Loading: Fetch all widget data simultaneously Lazy Loading: Load visible widgets first, others on scroll Cached Updates: Serve from cache while fetching fresh data

4. Configure Real-Time Updates

Server-Sent Events (Recommended for Dashboards):

tsx
const eventSource = new EventSource('/api/dashboard/stream');
eventSource.onmessage = (event) => {
  const update = JSON.parse(event.data);
  updateWidget(update.widgetId, update.data);
};
5. Apply Responsive Design

Define breakpoints for different screen sizes:

  • Desktop (>1200px): Multi-column grid
  • Tablet (768-1200px): 2-column layout
  • Mobile (<768px): Single column stack

Quick Start with Tremor

Basic KPI Dashboard
tsx
import { Card, Grid, Metric, Text, BadgeDelta, AreaChart } from '@tremor/react';

function QuickDashboard({ data }) {
  return (
    <Grid numItems={1} numItemsSm={2} numItemsLg={4} className="gap-4">
      {/* KPI Cards */}
      <Card>
        <Text>Total Revenue</Text>
        <Metric>$45,231.89</Metric>
        <BadgeDelta deltaType="increase">+12.5%</BadgeDelta>
      </Card>

      <Card>
        <Text>Active Users</Text>
        <Metric>1,234</Metric>
        <BadgeDelta deltaType="decrease">-2.3%</BadgeDelta>
      </Card>

      {/* Chart Widget */}
      <Card className="lg:col-span-2">
        <Text>Revenue Trend</Text>
        <AreaChart
          data={data.revenue}
          index="date"
          categories={["revenue"]}
          valueFormatter={(value) => `$${value.toLocaleString()}`}
        />
      </Card>
    </Grid>
  );
}

For complete implementation, see examples/tremor-dashboard.tsx.

Customizable Dashboard Implementation

Drag-and-Drop Grid Layout
tsx
import { Responsive, WidthProvider } from 'react-grid-layout';
import 'react-grid-layout/css/styles.css';

const ResponsiveGridLayout = WidthProvider(Responsive);

function CustomizableDashboard() {
  const [layouts, setLayouts] = useState(getStoredLayouts());

  return (
    <ResponsiveGridLayout
      layouts={layouts}
      breakpoints={{ lg: 1200, md: 996, sm: 768 }}
      cols={{ lg: 12, md: 10, sm: 6 }}
      rowHeight={60}
      onLayoutChange={(layout, layouts) => {
        setLayouts(layouts);
        localStorage.setItem('dashboardLayout', JSON.stringify(layouts));
      }}
      draggableHandle=".widget-header"
    >
      <div key="kpi1">
        <KPIWidget data={kpiData} />
      </div>
      <div key="chart1">
        <ChartWidget data={chartData} />
      </div>
      <div key="table1">
        <TableWidget data={tableData} />
      </div>
    </ResponsiveGridLayout>
  );
}

For full example with widget catalog, see examples/customizable-dashboard.tsx.

Real-Time Data Patterns

Best for unidirectional updates from server to dashboard:

tsx
function useSSEUpdates(endpoint) {
  useEffect(() => {
    const eventSource = new EventSource(endpoint);

    eventSource.onmessage = (event) => {
      const update = JSON.parse(event.data);
      // Update specific widget or all widgets
      dispatch({ type: 'UPDATE_WIDGET', payload: update });
    };

    return () => eventSource.close();
  }, [endpoint]);
}
WebSocket (For Bidirectional)

Use when dashboard needs to send commands back to server:

tsx
const ws = new WebSocket('ws://localhost:3000/dashboard');
ws.onmessage = (event) => {
  const data = JSON.parse(event.data);
  updateDashboard(data);
};
// Send filter changes to server
ws.send(JSON.stringify({ type: 'FILTER_CHANGE', filters }));
Smart Polling Fallback

For environments without WebSocket/SSE support:

tsx
function useSmartPolling(fetchData, interval = 30000) {
  const [isPaused, setIsPaused] = useState(false);

  useEffect(() => {
    if (isPaused || document.hidden) return;

    const timer = setInterval(fetchData, interval);
    return () => clearInterval(timer);
  }, [isPaused, interval]);

  // Pause when tab inactive
  useEffect(() => {
    const handleVisibilityChange = () => {
      setIsPaused(document.hidden);
    };
    document.addEventListener('visibilitychange', handleVisibilityChange);
    return () => document.removeEventListener('visibilitychange', handleVisibilityChange);
  }, []);
}

For detailed patterns including error handling and reconnection, see references/real-time-updates.md.

Performance Optimization

Lazy Loading Strategy
tsx
function DashboardGrid({ widgets }) {
  const [visibleWidgets, setVisibleWidgets] = useState(new Set());

  return widgets.map(widget => (
    <LazyLoad
      key={widget.id}
      height={widget.height}
      offset={100}
      once
      placeholder={<WidgetSkeleton />}
    >
      <Widget {...widget} />
    </LazyLoad>
  ));
}
Parallel Data Fetching
tsx
// Fetch all widget data simultaneously
const loadDashboard = async () => {
  const [kpis, charts, tables] = await Promise.all([
    fetchKPIs(),
    fetchChartData(),
    fetchTableData()
  ]);

  return { kpis, charts, tables };
};
Widget-Level Caching
tsx
function CachedWidget({ id, fetcher, ttl = 60000 }) {
  const cache = useRef({ data: null, timestamp: 0 });

  const getData = async () => {
    const now = Date.now();
    if (cache.current.data && now - cache.current.timestamp < ttl) {
      return cache.current.data;
    }

    const fresh = await fetcher();
    cache.current = { data: fresh, timestamp: now };
    return fresh;
  };

  // Use cached data while fetching fresh
  return <Widget data={cache.current.data} onRefresh={getData} />;
}

To analyze and optimize dashboard performance, run:

bash
python scripts/optimize-dashboard-performance.py --analyze dashboard-config.json

Cross-Skill Integration

Using Data Visualization Components

Reference the data-viz skill for chart widgets:

tsx
// Use charts from data-viz skill
import { createChart } from '../data-viz/chart-factory';

const revenueChart = createChart('area', {
  data: revenueData,
  xAxis: 'date',
  yAxis: 'revenue',
  theme: dashboardTheme
});
Integrating Data Tables

Reference the tables skill for data grids:

tsx
// Use advanced tables from tables skill
import { DataGrid } from '../tables/data-grid';

<DataGrid
  data={transactions}
  columns={columnDefs}
  pagination={true}
  sorting={true}
  filtering={true}
/>
Applying Design Tokens

Use the design-tokens skill for consistent theming:

tsx
// Dashboard-specific tokens from design-tokens skill
const dashboardTokens = {
  '--dashboard-bg': 'var(--color-bg-secondary)',
  '--widget-bg': 'var(--color-white)',
  '--widget-shadow': 'var(--shadow-lg)',
  '--kpi-value-size': 'var(--font-size-4xl)',
  '--kpi-trend-positive': 'var(--color-success)',
  '--kpi-trend-negative': 'var(--color-error)'
};
Filter Input Components

Optionally use the forms skill for filter controls:

tsx
// Advanced filter inputs from forms skill
import { DateRangePicker, MultiSelect } from '../forms/inputs';

<FilterPanel>
  <DateRangePicker onChange={handleDateChange} />
  <MultiSelect options={categories} onChange={handleCategoryFilter} />
</FilterPanel>

Library Selection Guide

Show full SKILL.md (295 more words)Show less
Choose Tremor When:
  • Need to build dashboards quickly
  • Want pre-styled, professional components
  • Using Tailwind CSS in your project
  • Building standard analytics interfaces
  • Limited customization requirements
Choose react-grid-layout When:
  • Users need to customize layouts
  • Drag-and-drop is required
  • Different users need different views
  • Building a dashboard builder tool
  • Maximum flexibility is priority
Combine Both When:
  • Use Tremor for widget contents (KPIs, charts)
  • Use react-grid-layout for layout management
  • Get best of both worlds

Bundled Resources

Scripts (Token-Free Execution)
  • scripts/generate-dashboard-layout.py - Generate responsive grid configurations
  • scripts/calculate-kpi-metrics.py - Calculate trends, comparisons, sparklines
  • scripts/validate-widget-config.py - Validate widget and filter configurations
  • scripts/optimize-dashboard-performance.py - Analyze and optimize performance
  • scripts/export-dashboard.py - Export dashboards to various formats

Run scripts directly without loading into context:

bash
python scripts/calculate-kpi-metrics.py --data metrics.json --period monthly
References (Detailed Patterns)
  • references/kpi-card-patterns.md - KPI card design patterns and variations
  • references/layout-strategies.md - Grid systems and responsive approaches
  • references/real-time-updates.md - WebSocket, SSE, and polling implementations
  • references/filter-coordination.md - Cross-widget filter synchronization
  • references/performance-optimization.md - Advanced optimization techniques
  • references/library-guide.md - Detailed Tremor and react-grid-layout guides
Examples (Complete Implementations)
  • examples/sales-dashboard.tsx - Full sales analytics dashboard
  • examples/monitoring-dashboard.tsx - Real-time monitoring with alerts
  • examples/executive-dashboard.tsx - Polished executive reporting
  • examples/customizable-dashboard.tsx - Drag-and-drop with persistence
  • examples/tremor-dashboard.tsx - Quick Tremor implementation
  • examples/filter-context.tsx - Global filter coordination
Assets (Templates & Configurations)
  • assets/dashboard-templates.json - Pre-built dashboard layouts
  • assets/widget-library.json - Widget catalog and configurations
  • assets/grid-layouts.json - Responsive grid configurations
  • assets/kpi-formats.json - Number formatting rules
  • assets/theme-tokens.json - Dashboard-specific design tokens

Dashboard Creation Workflow

  1. Define Requirements: Fixed or customizable? Real-time or static?
  2. Choose Libraries: Tremor for quick, react-grid-layout for flexible
  3. Set Up Structure: Global state, filter context, layout system
  4. Build Widgets: KPI cards, charts (data-viz), tables (tables skill)
  5. Implement Data Flow: Fetching strategy, caching, updates
  6. Add Interactivity: Filters, drill-downs, exports
  7. Optimize Performance: Lazy loading, parallel fetching, caching
  8. Apply Theming: Use design-tokens for consistent styling
  9. Test Responsiveness: Desktop, tablet, mobile breakpoints
  10. Deploy & Monitor: Track performance, user engagement

For specific patterns and detailed implementations, explore the bundled resources referenced above.

© ancoleman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 24 other files (scripts, references, assets) in skills/creating-dashboards of ancoleman/ai-design-components.

  • SKILL.md
  • assets/dashboard-templates.json
  • assets/grid-layouts.json
  • assets/kpi-formats.json
  • assets/theme-tokens.json
  • assets/widget-library.json
  • examples/customizable-dashboard.tsx
  • examples/executive-dashboard.tsx
  • examples/filter-context.tsx
  • examples/monitoring-dashboard.tsx
  • examples/sales-dashboard.tsx
  • examples/tremor-dashboard.tsx
  • outputs.yaml
  • references/filter-coordination.md
  • references/kpi-card-patterns.md
  • references/layout-strategies.md
  • references/library-guide.md
  • references/performance-optimization.md
  • … and 7 more

Open the folder on GitHubat commit 76551b7

Compare with similar skills

Creating Dashboards next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Creating Dashboards compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Creating Dashboards this skillancoleman/ai-design-components526—~3.5kAutomated safety check: PassMIT
Dashboard Creatormhattingpete/claude-skills-marketplace680—~489Automated safety check: PassApache-2.0
Malloy Chartsmalloydata/publisher116—~4.6kAutomated safety check: PassMIT
Mvizmatsonj/mviz226—~11kAutomated safety check: PassNone
SVG DashboardSCStelz/security-investigator249—~5.7kAutomated safety check: PassMIT
Tuftearef-vc/tufte-claude-skill306—~1.3kAutomated safety check: PassMIT

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Questions about Creating Dashboards

What does Creating Dashboards do?

Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Creating Dashboards is an agent skill from ancoleman/ai-design-components. Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts.

When should I use Creating Dashboards?

Creating Dashboards fits situations like: building business intelligence dashboards; monitoring systems; executive reports; any interface that requires multiple coordinated data displays with filters.

How do I install Creating Dashboards in Claude Code?

Run `npx skills add ancoleman/ai-design-components --skill creating-dashboards -a claude-code`. Or copy the skill folder (skills/creating-dashboards in ancoleman/ai-design-components) into .claude/skills/creating-dashboards in your project. Claude Code loads it when a task matches its description.

How do I install Creating Dashboards in Codex?

Run `npx skills add ancoleman/ai-design-components --skill creating-dashboards -a codex`. Or copy the skill folder (skills/creating-dashboards in ancoleman/ai-design-components) into .agents/skills/creating-dashboards in your project. Codex loads it when a task matches its description.

Can I use Creating Dashboards in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ancoleman/ai-design-components --skill creating-dashboards -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/creating-dashboards, .gemini/skills/creating-dashboards, .github/skills/creating-dashboards and .opencode/skills/creating-dashboards in your project.

What does Creating Dashboards need to run?

Going by SKILL.md and its folder, Creating Dashboards needs the command-line tools its instructions call (npm and python). Our summary lists: Python 3; Node.js.

Does Creating Dashboards access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Creating Dashboards safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Creating Dashboards use?

Creating Dashboards is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Creating Dashboards use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 27k tokens, read only when the agent opens those files.

What are the alternatives to Creating Dashboards?

Skills that share tags, products or a category with Creating Dashboards: Dashboard Creator (mhattingpete/claude-skills-marketplace, 680 stars), Malloy Charts (malloydata/publisher, 116 stars), Mviz (matsonj/mviz, 226 stars) and SVG Dashboard (SCStelz/security-investigator, 249 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Creating Dashboards?

ancoleman (a GitHub user) maintains it in ancoleman/ai-design-components, which has 526 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on December 11, 2025.

Source: ancoleman/ai-design-components on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.