turborepo
$ npm i -g turboMonorepos, build caching, and task pipelines from the terminal.
- turbo fits local ai well, especially for monorepos, build caching, and task pipelines from the terminal.
- It is the official CLI from Vercel.
- Easy to automate.
- Good fit for coding-agent workflows and repeatable scripts.
- Output is mostly text-first, so verify results before scripting around it.
Turbo guide
The official CLI from Vercel. Monorepos, build caching, and task pipelines from the terminal.
Open CLI packages the install path, verify step, and safe-start workflow so this tool can move from “interesting CLI” to something you can actually use. It also integrates with skills.sh so each CLI comes with the right companion skills, not just a binary and a docs link.
When to apply
- monorepos, build caching, and task pipelines from the terminal.
- You're on Vercel and want the official terminal experience.
- You need monorepos.
- You need build caching.
- You need task pipelines.
Quick reference
npm i -g turboturbo --versionturbo run buildOpen CLI × skills.sh
Open CLI integrates turbo with the right skills.sh companions so you get the tool and the workflow together.
Next Best Practices
Verified pairingOpen CLI integrates turbo with this skills.sh skill because it is the clearest fit for how turbo is usually used. Use modern Next.js patterns that pair well with deployment workflows.
$ npx skills add https://github.com/vercel-labs/next-skills --skill next-best-practicesUse turbo together with the Next Best Practices skills.sh skill. Start with safe inspection commands, summarize what you find, and ask before any step with side effects.
Why this tool
- turbo fits local ai well, especially for monorepos, build caching, and task pipelines from the terminal.
- It is the official CLI from Vercel.
- Easy to automate.
Watch-outs
- Output is mostly plain text.
Example workflow
1. turbo run buildSafe start
Install turbo.
Run `turbo --version` first.
Start with `turbo run build`.
Install the CLI and any required runtime, model, or Python environment.