MR
Mayur Rathi
@mayurrathi
⭐ 40.7k GitHub stars

Turborepo Caching

Turborepo Caching is an code AI skill with a core value of Configure Turborepo for efficient monorepo builds with local and remote caching. It helps developers solve real-world problems in the code domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.

Last verified on: 2026-07-07

Quick Facts

Category code
Works With Claude
Source sickn33/antigravity-awesome-skills
Stars ⭐ 40.7k
Last Verified 2026-07-07
Risk Level Low
mkdir -p ./skills/turborepo-caching && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/turborepo-caching/SKILL.md -o ./skills/turborepo-caching/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# Turborepo Caching


Production patterns for Turborepo build optimization.


Do not use this skill when


- The task is unrelated to turborepo caching

- You need a different domain or tool outside this scope


Instructions


- Clarify goals, constraints, and required inputs.

- Apply relevant best practices and validate outcomes.

- Provide actionable steps and verification.

- If detailed examples are required, open `resources/implementation-playbook.md`.


Use this skill when


- Setting up new Turborepo projects

- Configuring build pipelines

- Implementing remote caching

- Optimizing CI/CD performance

- Migrating from other monorepo tools

- Debugging cache misses


Core Concepts


1. Turborepo Architecture


text
Workspace Root/
├── apps/
│   ├── web/
│   │   └── package.json
│   └── docs/
│       └── package.json
├── packages/
│   ├── ui/
│   │   └── package.json
│   └── config/
│       └── package.json
├── turbo.json
└── package.json

2. Pipeline Concepts


| 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) |


Templates


Template 1: turbo.json Configuration


json
{
  "$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
    }
  }
}

Template 2: Package-Specific Pipeline


json
// 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"
      ]
    }
  }
}

Template 3: Remote Caching with Vercel


bash
# 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

yaml
# .github/workflows/ci.yml
name: Turborepo Caching

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]'

Template 4: Self-Hosted Remote Cache


typescript
// 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 {
  

🎯 Best For

  • UI designers
  • Product designers
  • Claude users
  • Software engineers
  • Development teams

💡 Use Cases

  • Generating component mockups
  • Creating design system tokens
  • Code quality improvement
  • Best practice enforcement

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Turborepo Caching to Your Work

    Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.

  4. 4

    Review and Refine

    Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.

❓ Frequently Asked Questions

Does this work with Figma?

Some design skills integrate with Figma plugins. Check the Works With section for supported tools.

Is Turborepo Caching compatible with Cursor and VS Code?

Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.

Do I need specific dependencies for Turborepo Caching?

Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.

How do I install Turborepo Caching?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/turborepo-caching/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Skipping usability testing

AI-generated designs should be validated with real users before development.

Skipping validation

Always test AI-generated code changes, even for simple refactors.

Missing dependency updates

Check if the skill requires updated dependencies or new packages.

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