[TERMINAL · SKILLS]
> mounting /skills...
> indexing skill manifests...
> linking agents: claude · codex · gemini · cursor
> ready.
[░░░░░░░░░░░░░░░░░░░░░░░░░░░░] 0%
Skills/Cube
>

Cube

Cube is an open-source semantic layer that sits between a data warehouse and analytics applications and serves governed metrics over REST, GraphQL and SQL APIs. Use when a user asks to define cubes, measures and dimensions, add pre-aggregations, build a metrics API or embedded analytics, set up multi-tenant row-level security, or query Cube from React or the REST API.

#semantic-layer#analytics#api#sql#metrics
terminal-skillsv1.1.0
Works with:claude-codeopenai-codexgemini-clicursor
Source
Trust Score
100/ 100
1.15×
Impact

Validation

Quality
100/ 100
Does it follow best practices?
6 PASS
Security
Passed
No known issues
Content review + injection scan
Impact
1.15×
72% → 83% agent success
Avg across 3 eval scenarios
Scored 10/2/2026 · skill v1.1.0
agent@terminalskills — playground
full playground →

Prove Cube on your task

simulated preview
$
$

real run in an isolated sandbox · files auto-deleted after 7 days · nothing touches your machine

$
✓ Installed cube v1.1.0

Getting Started

  1. Install the skill using the command above
  2. Open your AI coding agent (Claude Code, Codex, Gemini CLI, or Cursor)
  3. Reference the skill in your prompt
  4. The AI will use the skill's capabilities automatically

Example Prompts

  • "Analyze the sales data in revenue.csv and identify trends"
  • "Create a visualization comparing Q1 vs Q2 performance metrics"

Documentation

Overview

Cube (Cube Core is the self-hosted open-source part; Cube Cloud is the hosted platform) is a semantic layer: you define metrics once as code (cubes, measures, dimensions, joins, pre-aggregations), and Cube serves them to apps over a REST (JSON) API, GraphQL API and a Postgres-compatible SQL API, with caching and access control. Current release is 1.7.x (October 2026). Docs: https://docs.cube.dev.

Instructions

Data Modeling

Data model files live in model/cubes/ and model/views/ (inside the project folder mounted at /cube/conf). YAML is the format the docs recommend; JavaScript works too and is used below. Reference members of the same cube as CUBE.measure in pre_aggregations.

javascript
// model/cubes/Orders.js — Orders cube with measures and dimensions
cube(`Orders`, {
  sql_table: `public.orders`,

  // Pre-aggregation: materialized rollup kept in Cube Store
  pre_aggregations: {
    daily_revenue: {
      measures: [CUBE.revenue, CUBE.count],
      dimensions: [CUBE.status],
      time_dimension: CUBE.created_at,
      granularity: `day`,
      refresh_key: { every: `1 hour` },
    },
  },

  joins: {
    Users: { relationship: `many_to_one`, sql: `${CUBE}.user_id = ${Users}.id` },
  },

  measures: {
    count: { type: `count` },
    revenue: { type: `sum`, sql: `amount`, format: `currency` },
    revenue_per_user: { type: `number`, sql: `${revenue} / NULLIF(${Users.count}, 0)`, format: `currency` },
    // Rolling window: trailing 7-day sum (used with a time dimension)
    revenue_7d: { type: `sum`, sql: `amount`, rolling_window: { trailing: `7 day` } },
  },

  dimensions: {
    id: { type: `number`, sql: `id`, primary_key: true },
    status: { type: `string`, sql: `status` },
    tenant_id: { type: `string`, sql: `tenant_id` },
    created_at: { type: `time`, sql: `created_at` },
  },

  // Segments are named, reusable filters (queried as "Orders.completed")
  segments: {
    completed: { sql: `${CUBE}.status = 'completed'` },
  },
});
javascript
// model/cubes/Users.js — Users cube (condensed)
cube(`Users`, {
  sql_table: `public.users`,
  measures: {
    count: { type: `count` },
    active_count: { type: `count`, filters: [{ sql: `${CUBE}.last_login_at > NOW() - INTERVAL '30 days'` }] },
  },
  dimensions: {
    id: { type: `number`, sql: `id`, primary_key: true },
    plan: { type: `string`, sql: `plan` },
    country: { type: `string`, sql: `country` },
    created_at: { type: `time`, sql: `created_at` },
  },
});

REST API

Cube Core serves the REST API under /cubejs-api (configurable with base_path). Send a JWT signed with CUBEJS_API_SECRET in the Authorization header (the token carries the security context). Endpoints: /cubejs-api/v1/load (query), /v1/meta (model metadata), /v1/sql (generated SQL).

typescript
// src/analytics/cube-client.ts — Query the Cube REST API
const CUBE_API_URL = process.env.CUBE_API_URL!;
const CUBE_API_TOKEN = process.env.CUBE_API_TOKEN!;

type CubeQuery = Record<string, unknown>; // measures, dimensions, timeDimensions, filters, order, limit

async function cubeQuery(query: CubeQuery) {
  const response = await fetch(`${CUBE_API_URL}/cubejs-api/v1/load`, {   // CUBE_API_URL=http://localhost:4000
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      Authorization: CUBE_API_TOKEN,   // JWT; "Bearer <jwt>" is also accepted
    },
    body: JSON.stringify({ query }),
  });

  const result = await response.json();
  // Long queries answer {"error": "Continue wait"}: repeat the request until data arrives
  if (result.error === "Continue wait") return cubeQuery(query);
  if (result.error) throw new Error(result.error);
  return result.data;
}

// Example: Get monthly revenue by order status
const monthlyRevenue = await cubeQuery({
  measures: ["Orders.revenue", "Orders.count"],
  dimensions: ["Orders.status"],
  timeDimensions: [{
    dimension: "Orders.created_at",
    granularity: "month",
    dateRange: "Last 6 months",
  }],
  order: { "Orders.revenue": "desc" },
  limit: 100,
});

// Example: active users by plan
const activeByPlan = await cubeQuery({
  measures: ["Users.active_count"],
  dimensions: ["Users.plan"],
  filters: [{ member: "Users.plan", operator: "equals", values: ["pro", "enterprise"] }],
});

JavaScript SDK (React)

Build analytics UIs with @cubejs-client/core and @cubejs-client/react (both 1.7.x). Wrap the app in CubeProvider:

tsx
// src/main.tsx
import cube from "@cubejs-client/core";
import { CubeProvider } from "@cubejs-client/react";
const cubeApi = cube(process.env.CUBE_TOKEN!, { apiUrl: "http://localhost:4000/cubejs-api/v1" });
// <CubeProvider cubeApi={cubeApi}><App /></CubeProvider>
tsx
// src/components/RevenueChart.tsx — React component using Cube
import { useCubeQuery } from "@cubejs-client/react";
import { LineChart, Line, XAxis, YAxis, Tooltip, ResponsiveContainer } from "recharts";

export function RevenueChart({ dateRange = "Last 6 months" }) {
  const { resultSet, isLoading, error } = useCubeQuery({
    measures: ["Orders.revenue"],
    timeDimensions: [{
      dimension: "Orders.created_at",
      granularity: "month",
      dateRange,
    }],
  });

  if (isLoading) return <div>Loading...</div>;
  if (error) return <div>Error: {error.message}</div>;

  const data = resultSet?.chartPivot() ?? [];

  return (
    <ResponsiveContainer width="100%" height={300}>
      <LineChart data={data}>
        <XAxis dataKey="x" />
        <YAxis />
        <Tooltip formatter={(value: number) => `$${value.toLocaleString()}`} />
        <Line type="monotone" dataKey="Orders.revenue" stroke="#6366f1" strokeWidth={2} />
      </LineChart>
    </ResponsiveContainer>
  );
}

Access Control

Verified JWT claims become the securityContext. For multi-tenancy, scope queries and compiled models per tenant in cube.js (or cube.py):

javascript
// cube.js — security context configuration
module.exports = {
  // One compiled data model + cache per tenant
  contextToAppId: ({ securityContext }) => `CUBE_APP_${securityContext.tenant_id}`,

  // Called on every request: add a row-level filter
  queryRewrite: (query, { securityContext }) => {
    if (!securityContext.tenant_id) {
      throw new Error("tenant_id is required in the security context");
    }
    query.filters = query.filters || [];
    query.filters.push({
      member: "Orders.tenant_id",
      operator: "equals",
      values: [securityContext.tenant_id],
    });
    return query;
  },
};

Cube also supports declarative access_policy blocks on cubes and views (group-scoped member_level and row_level rules, plus masking); when policies exist for some groups, every other group is denied:

yaml
# model/cubes/orders.yml (excerpt)
    access_policy:
      - group: finance
        member_level:
          includes: "*"
      - group: support
        member_level:
          includes: [count, status]
        row_level:
          filters:
            - member: status
              operator: equals
              values: [completed]

If you use securityContext in contextToAppId, also set scheduledRefreshContexts so pre-aggregations refresh for each tenant.

Installation

The documented way to start is Docker Compose in an empty project folder:

yaml
# docker-compose.yml
services:
  cube:
    image: cubejs/cube:latest        # pin e.g. cubejs/cube:v1.7.50 in production
    ports:
      - 4000:4000                    # REST/GraphQL APIs and Playground
      - 15432:15432                  # Postgres-compatible SQL API
    environment:
      - CUBEJS_DEV_MODE=true         # local only, see warning below
    volumes:
      - .:/cube/conf
bash
docker compose up -d
# Open http://localhost:4000, pick your database in the wizard (it writes .env), then "Generate Data Model" (YAML or JavaScript)

Database settings go in .env: CUBEJS_DB_TYPE=postgres, CUBEJS_DB_HOST, CUBEJS_DB_NAME, CUBEJS_DB_USER, CUBEJS_DB_PASS, and CUBEJS_API_SECRET (random string used to sign and verify API JWTs). The npx cubejs-cli create scaffold still exists but the docs no longer lead with it. For production, run an API instance, a refresh worker and Cube Store (router plus workers) as in https://docs.cube.dev/cube-core/deployment.

CUBEJS_DEV_MODE=true turns off authentication on the REST and GraphQL APIs and exposes Playground with ready-made tokens. Use it only on your own machine; set CUBEJS_DEV_MODE=false anywhere else.

Examples

Example 1: Add a metrics API on top of an orders table

User request:

We have orders and users tables in Postgres. Give our frontend an API for monthly revenue by order status, with a daily rollup so it's fast.

The agent creates model/cubes/Orders.js and Users.js as above (primary keys, a many_to_one join, revenue and count measures, a daily_revenue pre-aggregation), starts Cube with docker compose up -d, and checks the model in Playground. It then verifies the endpoint with a signed token:

bash
curl -G http://localhost:4000/cubejs-api/v1/load \
  -H "Authorization: $CUBE_API_TOKEN" \
  --data-urlencode 'query={"measures":["Orders.revenue"],"dimensions":["Orders.status"],"timeDimensions":[{"dimension":"Orders.created_at","granularity":"month","dateRange":"last 6 months"}]}'

The response is {"data":[{"Orders.status":"completed","Orders.created_at.month":"2026-04-01T00:00:00.000","Orders.revenue":"18420.50"}, ...]}. Measure values come back as strings.

Example 2: Make the API multi-tenant

User request:

Each customer must only ever see their own orders in the dashboard. Tokens already carry a tenant_id claim.

The agent writes queryRewrite and contextToAppId in cube.js as shown in Access Control, signs two test JWTs with different tenant_id values using CUBEJS_API_SECRET, and confirms the same query returns different rows for each. It also sets CUBEJS_DEV_MODE=false so the check is not bypassed.

Guidelines

  1. Semantic layer = single source of truth — Define metrics once in Cube; all apps query the same definitions
  2. Pre-aggregations for performance — Materialize common queries; Cube auto-selects the best pre-aggregation
  3. Use the Playground for exploration — Build queries visually in Cube Playground before coding them into your app
  4. Security context for multi-tenancy — Use queryRewrite (or access_policy) to filter queries by tenant/group; never trust filters sent by the client
  5. Measures over raw SQL — Define revenue_per_user as a Cube measure, not as raw SQL in your app
  6. Time dimensions for trends — Use timeDimensions with granularity for consistent time-series queries
  7. Mind refresh keys — pre-aggregations refresh hourly by default; set refresh_key to match how often the source data changes, and run a separate refresh worker in production
  8. Version your models — Cube models are code; store in Git, review changes, deploy via CI/CD