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Astro Sites Manager

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fabricioctelles
astro-sites-manager

Comprehensive skill for building, migrating, and maintaining Astro v7 projects. Covers best practices from the official AGENTS.md, the v6→v7 migration path, validation of breaking/deprecated patterns, AI-enhanced dev server usage (background mode, JSON logging), advanced routing with src/fetch.ts, route caching, Sätteri Markdown, and the Rust compiler. Use when the user mentions 'Astro', '.astro files', 'astro dev', 'astro build', 'islands architecture', 'content collections', 'SSG', 'SSR adapter', 'upgrade to Astro 7', 'migrate Astro', 'Astro v7', 'Astro v6', 'Sätteri', 'route caching', 'Astro.cache', 'astro dev --background', 'src/fetch.ts', 'advanced routing', 'Hono + Astro', 'Rolldown', 'Vite 8', 'queued rendering', 'CDN cache provider', 'Astro AI', 'related content', 'related posts', 'vector embeddings Astro', 'astro-related-content', or asks about static site generation with Astro.

Overview

Publisherfabricioctelles
Repositoryskills
Skill nameastro-sites-manager
Stars
87
Forks
7
Bundled files
12
LicenseApache-2.0
Links
  • 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.

  • 12 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by fabricioctelles on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/fabricioctelles/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/astro-sites-manager .claude/skills/astro-sites-manager
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Astro Sites Manager 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 Astro Sites Manager 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 Astro Sites Manager 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.

Astro Framework — v7

MCP Documentation Access

This skill works alongside the Astro Docs MCP server. Before answering Astro questions, check if the astro-docs MCP tool is available and query it for the latest documentation. The MCP server provides real-time access to docs.astro.build and is the single source of truth for current APIs.

MCP Server: astro-docs
Tool: search_astro_docs

If the MCP server is unavailable, fall back to the reference material in this skill and https://docs.astro.build.


Best Practices

Component Design

  • One .astro component per file. Keep components small and focused.
  • Use frontmatter (---) for data fetching and logic; template below for markup only.
  • Prefer Astro components over framework components unless client interactivity is needed.
  • Use client:* directives sparingly — each adds JavaScript to the bundle.
  • Directive hierarchy: client:idle > client:visible > client:load (prefer lazy).

Routing & Pages

  • Use file-based routing in src/pages/. Dynamic routes: [slug].astro, [...path].astro.
  • Always export getStaticPaths() for prerendered dynamic routes.
  • For SSR pages: export const prerender = false at the top.
  • Use src/fetch.ts (v7) only when you need control beyond middleware — don't use it for simple auth.

Content Collections

  • Define schemas in content.config.ts with Zod — never trust untyped content.
  • Use getCollection() for lists, getEntry() for single items.
  • Prefer glob() loader for local files, custom loaders for CMS data.

Performance

  • Default to static (prerender = true). Use SSR only for personalized/dynamic content.
  • Use <Image /> from astro:assets — never raw <img> for local images.
  • Prefer Sätteri (default v7) over unified for Markdown — it's significantly faster.
  • Use Server Islands (server:defer) for mixing static shells with dynamic fragments.

Styling

  • Scoped <style> in .astro files is default and preferred.
  • Use is:global only when truly needed (third-party component styling).
  • Tailwind: install with astro add tailwind, don't configure manually.

TypeScript

  • Run astro sync after changing content schemas or env variables.
  • Run astro check before committing — catches template type errors other tools miss.
  • Use astro:env/server and astro:env/client for typed env variables (never process.env directly).

Development Workflow

  • Use astro dev for HMR. Never use python -m http.server or other static servers.
  • Use astro add for official integrations — don't manually edit config for them.
  • Use astro build && astro preview to test production behavior locally.
  • In AI agent workflows: use astro dev --background and validate via /_astro/status.

CLI Commands

bash
npx astro dev              # Dev server (foreground)
npx astro dev --background # Dev server (detached, for AI agents)
npx astro dev --json       # Dev server with JSON structured logs
npx astro build            # Production build
npx astro preview          # Serve production build locally
npx astro check            # Type checking and diagnostics
npx astro sync             # Generate TypeScript types
npx astro add <integration># Install and configure integration

Background Dev Server (AI Agents)

When working as an AI agent, use background mode:

bash
# Start (blocks until ready, then detaches)
astro dev --background
# → Dev server running at http://localhost:4321 (pid 12345)

# Check status
astro dev status

# Read logs
astro dev logs

# Stop
astro dev stop

# Health check endpoint (JSON)
curl http://localhost:4321/_astro/status
# → {"ok": true}

Key behaviors:

  • Lockfile prevents duplicate instances — starting again returns existing instance
  • All commands are idempotent (stop when not running = silent success)
  • Auto-detected when running inside an AI agent (no flag needed)
  • Opt out: ASTRO_DEV_BACKGROUND=0 astro dev

Project Structure

src/
├── pages/          # File-based routing (.astro, .md, .mdx)
├── layouts/        # Reusable page layouts
├── components/     # Astro & framework components
├── content/        # Content collections (type-safe)
├── middleware.ts   # Request middleware
├── fetch.ts        # Advanced routing (v7, optional)
├── styles/         # Global CSS
├── assets/         # Optimized assets (images, fonts)
├── actions/        # Server actions
└── env.d.ts        # Environment type declarations
astro.config.mjs    # Main configuration
content.config.ts   # Content collection schemas
tsconfig.json       # TypeScript config

Configuration (v7)

typescript
import { defineConfig, memoryCache, logHandlers } from 'astro/config';

export default defineConfig({
  // Output mode
  output: 'static', // or configure per-page with server adapter

  // Route caching (stable in v7)
  cache: {
    provider: memoryCache(),
  },
  routeRules: {
    '/blog/[...path]': { maxAge: 300, swr: 60 },
  },

  // Logger (stable in v7)
  logger: logHandlers.json(), // or .console(), or .compose(...)

  // Markdown (Sätteri is default in v7)
  markdown: {
    // No config needed for defaults (GFM, smartypants, heading IDs)
    // For extra features:
    // processor: satteri({ features: { directive: true, math: true } })
  },

  // Advanced routing file (default: src/fetch.ts)
  // fetchFile: null, // disable if src/fetch.ts is used for other purposes

  // Whitespace (v7 default: 'jsx')
  compressHTML: 'jsx', // or true (v6 behavior), or false (preserve all)
});

Islands Architecture (client:* directives)

astro
<!-- Load immediately (interactive above the fold) -->
<Counter client:load />

<!-- Load when browser is idle (non-critical interactivity) -->
<Newsletter client:idle />

<!-- Load when scrolled into viewport (below the fold) -->
<Comments client:visible />

<!-- Load on media query match (mobile-only widget) -->
<MobileMenu client:media="(max-width: 768px)" />

<!-- Client-only, skip SSR entirely (browser APIs needed) -->
<MapWidget client:only="react" />

<!-- Server Island: static shell, fetched at request time (v6+) -->
<UserGreeting server:defer />

Decision guide: No directive (default) = zero JS, static HTML. Add directive only when user interaction is required.


Image Optimization

astro
---
import { Image } from 'astro:assets';
import heroImage from '../assets/hero.jpg';
---
<!-- Local image (optimized, lazy-loaded, responsive) -->
<Image src={heroImage} alt="Hero" width={1200} />

<!-- Remote image (must allowlist domain in config) -->
<Image src="https://cdn.example.com/photo.jpg" alt="Photo" width={800} height={600} />

Config for remote images:

typescript
// astro.config.mjs
image: {
  domains: ['cdn.example.com'],
  remotePatterns: [{ protocol: 'https', hostname: '**.cloudinary.com' }],
}

Detailed References

  • Install MCP Server — Setup Astro Docs MCP for any AI tool (Kiro, Claude, Cursor, VS Code, etc.)
  • Migration Guide v6→v7 — Step-by-step upgrade plan with breaking changes checklist
  • Validation Checklist — Verify installation, detect breaking/deprecated patterns
  • AI Dev Server — Background mode, JSON logging, agent detection
  • Astro v7 Features — Rust compiler, Sätteri, Advanced Routing, Route Caching, CDN providers
  • Astro v6 Features — Content Collections v2, Actions, Sessions, Server Islands, env module
  • Related Content — Vector embeddings para posts relacionados, deploy leve no Coolify sem modelo
  • Testing — Vitest components, Playwright E2E, link checking, CI pipeline
  • SEO Full Stack — JSON-LD graph, agent discovery, IndexNow, OG images, build-time validation, performance
  • Starlight & Patterns — Docs sites, Pagefind search, i18n, pagination, RSS
  • Deployment — Cloudflare, Vercel, Netlify, Firebase, GitHub Pages, Docker/Coolify, Azure
  • Coolify Deploy — Self-hosted deploy on Coolify (Dockerfile, API, gotchas, recommended stack)

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 Astro Sites Manager AI skill do?

Comprehensive skill for building, migrating, and maintaining Astro v7 projects. Covers best practices from the official AGENTS.md, the v6→v7 migration path, validation of breaking/deprecated patterns, AI-enhanced dev server usage (background mode, JSON logging), advanced routing with src/fetch.ts, route caching, Sätteri Markdown, and the Rust compiler. Use when the user mentions 'Astro', '.astro files', 'astro dev', 'astro build', 'islands architecture', 'content collections', 'SSG', 'SSR adapter', 'upgrade to Astro 7', 'migrate Astro', 'Astro v7', 'Astro v6', 'Sätteri', 'route caching', 'A...

Why use Astro Sites Manager on TypingMind?

Because you install it once and use it with any model. Astro Sites Manager 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 Astro Sites Manager in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fabricioctelles/skills/tree/main/skills/astro-sites-manager. 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 Astro Sites Manager?

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 Astro Sites Manager?

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

Is the Astro Sites Manager AI skill free?

Yes. It is published on GitHub by fabricioctelles under the Apache-2.0 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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