Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching.
npx skills add https://github.com/wshobson/agents --skill turborepo-caching
Production patterns for Turborepo build optimization.
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": "[email protected]"
}
# 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: trueAssess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take wshobson/turborepo-caching from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npx.
Without those the skill loads but fails at the first command.