Nitro

CommunityPopular

antfu

nitro

Nitro is the framework-agnostic server toolkit (powering Nuxt) for building and deploying web servers anywhere. Use when working with nitro.config, server routes/event handlers, route rules, caching, storage, tasks, websockets, or deploying to Node/Bun/Deno/Cloudflare/Vercel.

Overview

Publisher	antfu
Repository	`skills`
Skill name	`nitro`
Stars	5.9K
Forks	333
Bundled files	14
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
14 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by antfu on GitHub. Read the source before you install it.

Installation

Install the Nitro AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/antfu/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/nitro .claude/skills/nitro

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nitro in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nitro on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nitro is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

The skill is based on Nitro v3 (beta), generated at 2026-06-22.

Nitro is a framework-agnostic, deployment-agnostic server toolkit powered by H3 v2, unstorage, and Vite/Rolldown/Rollup. It powers Nuxt and works standalone. From one codebase it builds optimized output for Node.js, Bun, Deno, Cloudflare, Vercel, Netlify, and more.

Key capabilities:

Filesystem routing with H3 v2 event handlers, dynamic params, and method suffixes.
Route rules for declarative caching, headers, redirects, proxying, and auth.
Caching layer (cached handlers/functions, SWR) on top of unstorage KV.
Runtime config overridable via NITRO_* env vars.
Tasks (on-demand + scheduled/cron), WebSockets/SSE, a SQL database layer, and OpenAPI auto-docs.
Plugins & lifecycle hooks, custom renderer/server entry, and portable deployment presets.

Nitro v3 renamed the package nitropack → nitro and adopts H3 v2 (web-standard Request/Response). If unsure about v2-vs-v3 APIs, read advanced-migration first.

Core

Topic	Description	Reference
Routing	File-based routes, `defineHandler`, params, middleware, route rules, errors	core-routing
Configuration	`nitro.config.ts`, `defineConfig`, key options, runtime config	core-configuration
Storage	unstorage KV, mount points, drivers, dynamic mounts	core-storage
Cache	`defineCachedHandler`, `defineCachedFunction`, SWR, invalidation	core-cache
Assets	Public assets, compression, server assets via storage	core-assets
Rendering	Renderer (HTML/SSR), server entry, framework integration	core-rendering

Features

Topic	Description	Reference
Plugins & Hooks	`definePlugin`, runtime lifecycle hooks, error capture	features-plugins
Tasks	On-demand & scheduled (cron) tasks, `runTask`	features-tasks
WebSocket & SSE	`defineWebSocketHandler`, pub/sub, namespaces, event streams	features-websocket
Database	Built-in SQL layer via db0, `useDatabase`, connectors	features-database
OpenAPI	Auto spec from `defineRouteMeta`, Scalar/Swagger UIs	features-openapi

Advanced / Deployment

Topic	Description	Reference
Deployment Presets	Runtimes & providers, compatibility dates, platform integration	deploy-presets
v2 → v3 Migration	Package rename, `nitro/*` imports, H3 v2 API, preset changes	advanced-migration

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nitro AI skill do?

Why use Nitro on TypingMind?

Because you install it once and use it with any model. Nitro is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nitro in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/antfu/skills/tree/main/skills/nitro. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nitro?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nitro?

As many as you like. As long as a model supports skills, you can use Nitro with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nitro AI skill free?

Yes. It is published on GitHub by antfu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Core

Features

Advanced / Deployment

Bundled files

Frequently asked questions

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