dashboard
Create interactive analytics dashboards with React components from drizzle-cube/client. Use when building dashboards, configuring portlets, setting up grid layouts, or creating analytics UIs with drizzle-cube React components.
Install
mkdir -p .claude/skills/dashboard && curl -L -o skill.zip "https://mcp.directory/api/skills/download/308" && unzip -o skill.zip -d .claude/skills/dashboard && rm skill.zipInstalls to .claude/skills/dashboard
About this skill
Drizzle Cube Dashboard
This skill helps you create interactive analytics dashboards using Drizzle Cube's React components. Build complete dashboards with charts, KPIs, and data tables in a responsive grid layout.
Core Concept
A Drizzle Cube dashboard consists of:
- CubeProvider - Context provider for API connection
- AnalyticsDashboard - Main dashboard container
- Portlets - Individual widgets (charts, KPIs, tables)
- Grid Layout - Responsive positioning system
Installation
npm install drizzle-cube react react-dom
Basic Dashboard Setup
1. Wrap App with CubeProvider
import { CubeProvider } from 'drizzle-cube/client'
function App() {
return (
<CubeProvider
apiOptions={{ apiUrl: '/cubejs-api/v1' }}
token="your-auth-token"
>
<YourDashboard />
</CubeProvider>
)
}
2. Create Dashboard Component
import { AnalyticsDashboard } from 'drizzle-cube/client'
import { useState } from 'react'
function YourDashboard() {
const [config, setConfig] = useState({
portlets: [
{
id: 'portlet-1',
title: 'Employee Count by Department',
query: JSON.stringify({
measures: ['Employees.count'],
dimensions: ['Departments.name']
}),
chartType: 'bar',
chartConfig: {
xAxis: ['Departments.name'],
yAxis: ['Employees.count']
},
x: 0,
y: 0,
w: 6,
h: 4
}
]
})
return (
<AnalyticsDashboard
config={config}
editable={true}
onConfigChange={setConfig}
onSave={async (newConfig) => {
// Save to backend
await saveDashboard(newConfig)
}}
/>
)
}
CubeProvider Configuration
Basic Configuration
<CubeProvider
apiOptions={{ apiUrl: '/cubejs-api/v1' }}
token="auth-token"
features={{ enableAI: true }} // Optional: Enable AI features
>
{children}
</CubeProvider>
Props:
apiOptions: Object withapiUrlfor Cube API endpointtoken: Authentication token (optional)features: Optional features configuration (e.g.,{ enableAI: true })
With Dynamic Token
import { useState, useEffect } from 'react'
import { CubeProvider } from 'drizzle-cube/client'
function App() {
const [token, setToken] = useState(null)
useEffect(() => {
// Fetch token from auth system
const fetchToken = async () => {
const authToken = await getAuthToken()
setToken(authToken)
}
fetchToken()
}, [])
if (!token) return <div>Loading...</div>
return (
<CubeProvider
apiOptions={{ apiUrl: '/cubejs-api/v1' }}
token={token}
>
<Dashboard />
</CubeProvider>
)
}
With Runtime Configuration Updates
import { useCubeContext } from 'drizzle-cube/client'
function DashboardSettings() {
const { updateApiConfig } = useCubeContext()
const switchEnvironment = (env) => {
const apiUrl = env === 'prod'
? '/api/cubejs-api/v1'
: '/dev-api/cubejs-api/v1'
const token = getTokenForEnvironment(env)
updateApiConfig({ apiUrl }, token)
}
return (
<div>
<button onClick={() => switchEnvironment('dev')}>Dev</button>
<button onClick={() => switchEnvironment('prod')}>Prod</button>
</div>
)
}
Dashboard Configuration
Dashboard Config Structure
interface DashboardConfig {
portlets: PortletConfig[]
layouts?: { [key: string]: any } // Optional react-grid-layout layouts
colorPalette?: string // Optional color palette name (not limited to specific values)
}
interface PortletConfig {
id: string // Unique identifier
title: string // Display title
query: string // JSON string of CubeQuery
chartType: ChartType // Chart type
chartConfig?: ChartAxisConfig // Axis configuration
displayConfig?: ChartDisplayConfig // Visual settings
x: number // Grid X position (0-based)
y: number // Grid Y position (0-based)
w: number // Grid width (columns)
h: number // Grid height (rows)
}
Complete Dashboard Example
import { AnalyticsDashboard } from 'drizzle-cube/client'
import { useState } from 'react'
function EmployeeDashboard() {
const [config, setConfig] = useState({
colorPalette: 'ocean',
portlets: [
// KPI - Total Employees
{
id: 'kpi-total',
title: 'Total Employees',
query: JSON.stringify({
measures: ['Employees.count']
}),
chartType: 'kpiNumber',
displayConfig: {
prefix: '',
suffix: ' employees',
decimals: 0
},
x: 0,
y: 0,
w: 3,
h: 2
},
// KPI - Average Salary
{
id: 'kpi-salary',
title: 'Average Salary',
query: JSON.stringify({
measures: ['Employees.avgSalary']
}),
chartType: 'kpiNumber',
displayConfig: {
prefix: '$',
suffix: '',
decimals: 2
},
x: 3,
y: 0,
w: 3,
h: 2
},
// Bar Chart - Department Distribution
{
id: 'chart-departments',
title: 'Employees by Department',
query: JSON.stringify({
measures: ['Employees.count'],
dimensions: ['Departments.name'],
order: { 'Employees.count': 'desc' }
}),
chartType: 'bar',
chartConfig: {
xAxis: ['Departments.name'],
yAxis: ['Employees.count']
},
displayConfig: {
showLegend: true,
orientation: 'vertical'
},
x: 0,
y: 2,
w: 6,
h: 4
},
// Line Chart - Hiring Trend
{
id: 'chart-hiring',
title: 'Hiring Trend',
query: JSON.stringify({
measures: ['Employees.count'],
timeDimensions: [{
dimension: 'Employees.createdAt',
granularity: 'month',
dateRange: 'last 12 months'
}]
}),
chartType: 'line',
chartConfig: {
xAxis: ['Employees.createdAt'],
yAxis: ['Employees.count']
},
displayConfig: {
showGrid: true,
showTooltip: true
},
x: 6,
y: 0,
w: 6,
h: 6
},
// Table - Employee List
{
id: 'table-employees',
title: 'Recent Hires',
query: JSON.stringify({
dimensions: [
'Employees.name',
'Employees.email',
'Departments.name',
'Employees.createdAt'
],
order: { 'Employees.createdAt': 'desc' },
limit: 10
}),
chartType: 'table',
x: 0,
y: 6,
w: 12,
h: 4
}
]
})
const handleSave = async (newConfig) => {
try {
await fetch('/api/dashboards/employees', {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(newConfig)
})
alert('Dashboard saved!')
} catch (error) {
alert('Failed to save dashboard')
}
}
return (
<div className="p-4">
<h1 className="text-2xl font-bold mb-4">Employee Analytics</h1>
<AnalyticsDashboard
config={config}
editable={true}
onConfigChange={setConfig}
onSave={handleSave}
/>
</div>
)
}
Grid Layout System
The dashboard uses a 12-column responsive grid system.
Grid Dimensions
- Columns: 12 columns total width
- Rows: Auto-height based on content
- Units: Each
w= 1 column, eachh= 60px
Positioning Examples
// Full width portlet
{
x: 0, // Start at left
y: 0, // Start at top
w: 12, // Full width (12 columns)
h: 4 // 320px height (h × 80px rowHeight)
}
// Half width portlets side-by-side
[
{
x: 0, // Left half
y: 0,
w: 6, // Half width (6 columns)
h: 4
},
{
x: 6, // Right half
y: 0,
w: 6, // Half width
h: 4
}
]
// Three equal columns
[
{ x: 0, y: 0, w: 4, h: 3 }, // Left third
{ x: 4, y: 0, w: 4, h: 3 }, // Middle third
{ x: 8, y: 0, w: 4, h: 3 } // Right third
]
// Dashboard header row + main content
[
{ x: 0, y: 0, w: 3, h: 2 }, // KPI 1
{ x: 3, y: 0, w: 3, h: 2 }, // KPI 2
{ x: 6, y: 0, w: 3, h: 2 }, // KPI 3
{ x: 9, y: 0, w: 3, h: 2 }, // KPI 4
{ x: 0, y: 2, w: 12, h: 6 } // Full-width chart below
]
Responsive Breakpoints
The grid automatically adapts to screen sizes:
- Large (≥1200px): 12 columns
- Medium (≥996px): 10 columns
- Small (≥768px): 6 columns
- XSmall (≥480px): 4 columns
- XXSmall (<480px): 2 columns
Editable vs Read-Only
Editable Dashboard
<AnalyticsDashboard
config={config}
editable={true} // Enable editing
onConfigChange={setConfig} // Handle layout changes
onSave={handleSave} // Save button handler
/>
Features in edit mode:
- Drag and drop portlets
- Resize portlets
- Edit chart configurations
- Add/remove portlets
- Save button appears
Read-Only Dashboard
<AnalyticsDashboard
config={config}
editable={false} // Disable editing
/>
Features disabled:
- No drag and drop
- No resize handles
- No edit buttons
- No save button
- View-only mode
Persisting Dashboard Configuration
Save to Backend
function Dashboard() {
const [config, setConfig] = useState(null)
const [isDirty, setIsDirty] = useState(false)
// Load dashboard on mount
useEffect(() => {
const loadDashboard = async () => {
const response = await fetch('/api/dashboards/my-dashboard')
const data = await response.json()
setConf
---
*Content truncated.*
You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
pdf-to-markdown
aliceisjustplaying
Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.
Related MCP Servers
Browse all serversVizro creates and validates data-visualization dashboards from natural language, auto-generating chart code and interact
Effortlessly create 25+ chart types with MCP Server Chart. Visualize complex datasets using TypeScript and AntV for powe
Integrate with Datadog for real-time metrics, logs, dashboards, and APM to optimize DevOps workflows. Learn about Datado
Create interactive visualizations and charts with VChart, a powerful data analysis tool and pie chart maker for flexible
Connect Triple Whale to analyze e-commerce sales, build actionable sales dashboards, and use marketing attribution tools
Amplitude integrates with leading data analytics software to access product data, experiments, and user metrics through
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.