Claude
Chat app · Skill upload
In Claude, open Customize → Skills and use Create skill to upload the ZIP. Skill availability depends on your plan and workspace settings.
Official Claude setup →Community skill · Free instruction package
Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.
Community instruction package. Read the full workflow below, then choose your app in the setup guide. Package instructions and compatibility claims have not been individually verified; check dependencies and license before use.
CHOOSE YOUR AI APP
Choose your app below for setup instructions. Keep the complete downloaded folder together. Each package may need tools, dependencies or permissions that your app does not provide.
Chat app · Skill upload
In Claude, open Customize → Skills and use Create skill to upload the ZIP. Skill availability depends on your plan and workspace settings.
Official Claude setup →Chat app · Access varies
Where Skills is available, open Plugins → Skills → Create → Upload from your computer. Otherwise, copy the instructions into a chat and add your brief; this does not install a skill or include its supporting files.
Official ChatGPT setup →Agent · Project skills
Extract the complete skill folder into your project’s .agents/skills directory. Ask the agent to use the skill for your task.
.agents/skills/turborepo-caching/SKILL.mdOfficial Google Antigravity setup →Code editor · Project skills
Extract the complete folder into .cursor/skills. Check the editor’s skill settings and ask the agent to use it.
.cursor/skills/turborepo-caching/SKILL.mdOfficial Cursor setup →Coding agent · Project skills
Extract the complete folder into .claude/skills. Ask Claude to use the named skill, or use its slash command when available.
.claude/skills/turborepo-caching/SKILL.mdOfficial Claude Code setup →For text-only workflows, you can also paste the instructions into an AI conversation. Copying text does not enable scripts, connect accounts or grant tool access. App subscriptions may cost extra. Logos identify the products; KuchhBhi is independent and is not endorsed by these companies.
Production patterns for Turborepo build optimization.
resources/implementation-playbook.md.Workspace Root/
├── apps/
│ ├── web/
│ │ └── package.json
│ └── docs/
│ └── package.json
├── packages/
│ ├── ui/
│ │ └── package.json
│ └── config/
│ └── package.json
├── turbo.json
└── package.json
| Concept | Description | |---------|-------------| | dependsOn | Tasks that must complete first | | cache | Whether to cache outputs | | outputs | Files to cache | | inputs | Files that affect cache key | | persistent | Long-running tasks (dev servers) |
{
"$schema": "https://turbo.build/schema.json",
"globalDependencies": [
".env",
".env.local"
],
"globalEnv": [
"NODE_ENV",
"VERCEL_URL"
],
"pipeline": {
"build": {
"dependsOn": ["^build"],
"outputs": [
"dist/**",
".next/**",
"!.next/cache/**"
],
"env": [
"API_URL",
"NEXT_PUBLIC_*"
]
},
"test": {
"dependsOn": ["build"],
"outputs": ["coverage/**"],
"inputs": [
"src/**/*.tsx",
"src/**/*.ts",
"test/**/*.ts"
]
},
"lint": {
"outputs": [],
"cache": true
},
"typecheck": {
"dependsOn": ["^build"],
"outputs": []
},
"dev": {
"cache": false,
"persistent": true
},
"clean": {
"cache": false
}
}
}
// apps/web/turbo.json
{
"$schema": "https://turbo.build/schema.json",
"extends": ["//"],
"pipeline": {
"build": {
"outputs": [".next/**", "!.next/cache/**"],
"env": [
"NEXT_PUBLIC_API_URL",
"NEXT_PUBLIC_ANALYTICS_ID"
]
},
"test": {
"outputs": ["coverage/**"],
"inputs": [
"src/**",
"tests/**",
"jest.config.js"
]
}
}
}
# Login to Vercel
npx turbo login
# Link to Vercel project
npx turbo link
# Run with remote cache
turbo build --remote-only
# CI environment variables
TURBO_TOKEN=your-token
TURBO_TEAM=your-team
# .github/workflows/ci.yml
name: CI
on:
push:
branches: [main]
pull_request:
env:
TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
TURBO_TEAM: ${{ vars.TURBO_TEAM }}
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm'
- name: Install dependencies
run: npm ci
- name: Build
run: npx turbo build --filter='...[origin/main]'
- name: Test
run: npx turbo test --filter='...[origin/main]'
// Custom remote cache server (Express)
import express from 'express';
import { createReadStream, createWriteStream } from 'fs';
import { mkdir } from 'fs/promises';
import { join } from 'path';
const app = express();
const CACHE_DIR = './cache';
// Get artifact
app.get('/v8/artifacts/:hash', async (req, res) => {
const { hash } = req.params;
const team = req.query.teamId || 'default';
const filePath = join(CACHE_DIR, team, hash);
try {
const stream = createReadStream(filePath);
stream.pipe(res);
} catch {
res.status(404).send('Not found');
}
});
// Put artifact
app.put('/v8/artifacts/:hash', async (req, res) => {
const { hash } = req.params;
const team = req.query.teamId || 'default';
const dir = join(CACHE_DIR, team);
const filePath = join(dir, hash);
await mkdir(dir, { recursive: true });
const stream = createWriteStream(filePath);
req.pipe(stream);
stream.on('finish', () => {
res.json({ urls: [`${req.protocol}://${req.get('host')}/v8/artifacts/${hash}`] });
});
});
// Check artifact exists
app.head('/v8/artifacts/:hash', async (req, res) => {
const { hash } = req.params;
const team = req.query.teamId || 'default';
const filePath = join(CACHE_DIR, team, hash);
try {
await fs.access(filePath);
res.status(200).end();
} catch {
res.status(404).end();
}
});
app.listen(3000);
// turbo.json for self-hosted cache
{
"remoteCache": {
"signature": false
}
}
# Use self-hosted cache
turbo build --api="http://localhost:3000" --token="my-token" --team="my-team"
# Build specific package
turbo build --filter=@myorg/web
# Build package and its dependencies
turbo build --filter=@myorg/web...
# Build package and its dependents
turbo build --filter=...@myorg/ui
# Build changed packages since main
turbo build --filter='...[origin/main]'
# Build packages in directory
turbo build --filter='./apps/*'
# Combine filters
turbo build --filter=@myorg/web --filter=@myorg/docs
# Exclude package
turbo build --filter='!@myorg/docs'
# Include dependencies of changed
turbo build --filter='...[HEAD^1]...'
{
"$schema": "https://turbo.build/schema.json",
"pipeline": {
"build": {
"dependsOn": ["^build"],
"outputs": ["dist/**"],
"inputs": [
"$TURBO_DEFAULT$",
"!**/*.md",
"!**/*.test.*"
]
},
"test": {
"dependsOn": ["^build"],
"outputs": ["coverage/**"],
"inputs": [
"src/**",
"tests/**",
"*.config.*"
],
"env": ["CI", "NODE_ENV"]
},
"test:e2e": {
"dependsOn": ["build"],
"outputs": [],
"cache": false
},
"deploy": {
"dependsOn": ["build", "test", "lint"],
"outputs": [],
"cache": false
},
"db:generate": {
"cache": false
},
"db:push": {
"cache": false,
"dependsOn": ["db:generate"]
},
"@myorg/web#build": {
"dependsOn": ["^build", "@myorg/db#db:generate"],
"outputs": [".next/**"],
"env": ["NEXT_PUBLIC_*"]
}
}
}
{
"name": "my-turborepo",
"private": true,
"workspaces": [
"apps/*",
"packages/*"
],
"scripts": {
"build": "turbo build",
"dev": "turbo dev",
"lint": "turbo lint",
"test": "turbo test",
"clean": "turbo clean && rm -rf node_modules",
"format": "prettier --write \"**/*.{ts,tsx,md}\"",
"changeset": "changeset",
"version-packages": "changeset version",
"release": "turbo build --filter=./packages/* && changeset publish"
},
"devDependencies": {
"turbo": "^1.10.0",
"prettier": "^3.0.0",
"@changesets/cli": "^2.26.0"
},
"packageManager": "npm@10.0.0"
}
# Dry run to see what would run
turbo build --dry-run
# Verbose output with hashes
turbo build --verbosity=2
# Show task graph
turbo build --graph
# Force no cache
turbo build --force
# Show cache status
turbo build --summarize
# Debug specific task
TURBO_LOG_VERBOSITY=debug turbo build --filter=@myorg/web
"@myorg/ui": "workspace:*"persistent: trueThe instruction package is free to download. Your AI app, model usage, connected services and third-party assets may have separate costs.
It is a set of instructions for a compatible AI assistant. It does not run by itself, connect accounts or install an MCP server.
Check that the named folder contains SKILL.md directly, not a second nested ZIP folder. Confirm that your editor supports skills and that its current settings allow this location. See the official documentation below.