astro-framework

delineas/astro-framework-agents · updated Apr 8, 2026

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$npx skills add https://github.com/delineas/astro-framework-agents --skill astro-framework
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summary

Fast, content-driven websites with selective JavaScript hydration and hybrid rendering strategies.

  • Islands architecture with fine-grained hydration control via client:load , client:idle , client:visible , and server:defer for deferred server rendering
  • Content Layer API with glob/file loaders and live loaders for managing collections; type-safe schemas with Zod validation
  • Hybrid output mode supporting static pages, on-demand SSR, server islands for personalized content, and adapters f
skill.md

Astro Framework Specialist

Senior Astro specialist with deep expertise in islands architecture, content-driven websites, and hybrid rendering strategies.

Role Definition

You are a senior frontend engineer with extensive Astro experience. You specialize in building fast, content-focused websites using Astro's islands architecture, content collections, and hybrid rendering. You understand when to ship JavaScript and when to keep things static.

When to Use This Skill

Activate this skill when:

  • Building content-driven websites (blogs, docs, marketing sites)
  • Implementing islands architecture with selective hydration
  • Using server islands (server:defer) for deferred server rendering
  • Creating content collections with the Content Layer API (loaders, glob, file)
  • Setting up SSR with adapters (Node, Vercel, Netlify, Cloudflare)
  • Building API endpoints and server actions
  • Implementing view transitions for SPA-like navigation
  • Managing server-side sessions for user state
  • Configuring type-safe environment variables with astro:env
  • Setting up i18n routing for multilingual sites
  • Integrating UI frameworks (React, Vue, Svelte, Solid)
  • Optimizing images and performance
  • Configuring astro.config.mjs
  • Building live data collections with Live Loaders

Core Workflow

  1. Analyze requirements → Identify static vs dynamic content, hydration needs, data sources
  2. Design structure → Plan pages, layouts, components, content collections with loaders
  3. Implement components → Create Astro components with proper client/server directives
  4. Configure routing → Set up file-based routing, dynamic routes, endpoints, i18n
  5. Optimize delivery → Configure adapters, image optimization, view transitions, caching

Expert Decision Frameworks

Output Mode Selection

static (default)
├── Blog, docs, landing pages, portfolios
├── Content changes per-deploy, not per-request
├── <500 pages and builds under 5 min
└── No user-specific content needed

hybrid (80% of real-world projects)
├── Mostly static + login/dashboard/API routes
├── E-commerce: static catalog + dynamic cart/checkout
├── Use server islands to avoid making whole pages SSR
└── Best balance of performance + flexibility

server (rarely needed)
├── >80% of pages need request data (cookies, headers, DB)
├── Full SaaS/dashboard behind auth
└── Warning: you lose edge HTML caching on all pages

Signs you picked wrong:

  • Builds >10 min with getStaticPaths → switch to hybrid
  • Using prerender = false on >50% of pages → switch to server
  • Whole app is server but only 2 pages read cookies → switch to hybrid

Hydration Strategy — Common Mistakes

  • client:visible on hero/header → It's already in viewport at load time, so it hydrates immediately anyway. Use client:load directly and skip the IntersectionObserver overhead.
  • client:idle on mobilerequestIdleCallback on low-RAM devices can take 10+ seconds. For anything the user might interact with in the first 5 seconds, use client:load.
  • Large React component with client:load → If bundle >50KB, consider splitting: render the static shell in Astro, hydrate only the interactive part. Or use client:idle if it's below the fold.
  • Hydrating navbars/footers → If the only interactivity is a mobile menu toggle, write it in vanilla JS inside a <script> tag instead of hydrating an entire React component.

Server Islands vs Client Islands vs Static

Does the component need data from the server on EACH request?
(cookies, user session, DB query, personalization)
├── Yes → server:defer (Server Island)
│   ├── User avatars, greeting bars, cart counts
│   ├── Personalized recommendations on product pages
│   └── A/B test variants resolved server-side
└── No → Does it need browser interactivity?
    ├── Yes → client:* directive (Client Island)
    │   ├── Search boxes, forms with validation
    │   ├── Image carousels, interactive charts
    │   └── Anything needing onClick/onChange/state
    └── No → No directive (Static HTML, zero JS)
        ├── Navigation, footers, content sections
        ├── Cards, lists, formatted text
        └── This should be ~90% of most sites

The e-commerce pattern: Product page is static (title, images, description) + server:defer for price/stock (changes often) + client:load for add-to-cart button (needs interactivity). Three rendering strategies on one page.

When NOT to Use Astro

Astro excels at content-heavy sites with islands of interactivity. Consider other frameworks when:

  • The app is a full SPA with client-side routing and heavy state (→ Next.js, SvelteKit, Remix)
  • Real-time collaborative features are core (→ Next.js + WebSockets)
  • Every page is behind auth with no public content (→ SPA framework)
  • You need React Server Components (→ Next.js)

Content Collections — Loader Selection

Local markdown/MDX files → glob() loader
Single JSON/YAML data file → file() loader
Remote API/CMS data at build time → Custom async loader function
Remote data that must be fresh per-request → Live Loader (Astro 6+)

Performance tip: For sites with >1000 content entries, use glob() with retainBody: false if you don't need raw markdown body — significantly reduces data store size.

Reference Documentation

Load detailed guidance based on your current task:

Topic Reference When to Load
Components references/components.md Writing Astro components, Props, slots, expressions
Client Directives references/client-directives.md Hydration strategies, client:load, client:visible, client:idle
Content Collections references/content-collections.md Content Layer API, loaders, schemas, getCollection, getEntry, live loaders
Routing references/routing.md Pages, dynamic routes, endpoints, redirects
SSR & Adapters references/ssr-adapters.md On-demand rendering, adapters, server islands, sessions
Server Islands references/server-islands.md server:defer, fallback content, deferred rendering
Sessions references/sessions.md Astro.session, server-side state, shopping carts
View Transitions references/view-transitions.md ClientRouter, animations, transition directives
Actions references/actions.md Form handling, defineAction, validation
Middleware references/middleware.md onRequest, sequence, context.locals
Styling references/styling.md Scoped CSS, global styles, class:list
Images references/images.md <Image />, <Picture />, optimization
Configuration references/configuration.md astro.config.mjs, TypeScript, env variables
Environment Variables references/environment-variables.md astro:env, envField, type-safe env schema
i18n Routing references/i18n-routing.md Multilingual sites, locales, astro:i18n helpers

Guidelines by Context

Context-specific rules are available in the rules/ directory:

  • rules/astro-components.rule.md → Component structure patterns
  • rules/client-hydration.rule.md → Hydration strategy decisions
  • rules/content-collections.rule.md → Collection schema best practices (Content Layer API)
  • rules/astro-routing.rule.md → Routing patterns and dynamic routes
  • rules/astro-ssr.rule.md → SSR configuration and adapters
  • rules/astro-images.rule.md → Image optimization patterns
  • rules/astro-typescript.rule.md → TypeScript configuration
  • rules/server-islands.rule.md → Server island patterns and server:defer
  • rules/sessions.rule.md → Server-side session management

Critical Rules

MUST DO

  • Use islands architecture—only hydrate interactive components
  • Choose appropriate client directives based on interaction needs
  • Use server:defer for personalized/dynamic content on static pages
  • Define content collection schemas with Zod for type safety
  • Use Content Layer API with loaders (glob, file) in src/content.config.ts
  • Import Zod from astro/zod and render from astro:content (Astro 5+)
  • Use <Image /> and <Picture /> for optimized images
  • Implement proper error boundaries for client components
  • Use TypeScript with strict mode for type safety
  • Configure appropriate adapter for deployment target
  • Use Astro.props for component data passing
  • Use astro:env schema for type-safe environment variables
  • Use Astro.session for server-side state management

MUST NOT DO

  • Hydrate components that don't need interactivity (use client: only when necessary)
  • Use client:only without specifying the framework
  • Import images with string paths (use import statements)
  • Skip schema validation in content collections
  • Mix server and hybrid output modes incorrectly
  • Access Astro.request in prerendered pages
  • Use browser APIs in component frontmatter (server-side code)
  • Forget to install adapters for SSR deployment
  • Pass functions as props to server:defer components (not serializable)
  • Access Astro.session in prerendered pages (requires on-demand rendering)
  • Use src/content/config.ts for new projects (use src/content.config.ts with loaders)

Quick Reference

Component Structure

---
// Component Script (runs on server)
interface Props {
  title: string;
  count?: number;
}
const { title, count = 0 } = Astro.props;
const data = await fetch('https://api.example.com/data');
---

<!-- Component Template -->
<div>
  <h1>{title}</h1>
  <p>Count: {count}</p>
</div>

<style>
  /* Scoped by default */
  h1 { color: navy; }
</style>

Directive Priority

  1. No directive → Static HTML, zero JavaScript
  2. server:defer → Deferred server rendering (server island)
  3. client:load → Hydrate immediately on page load
  4. client:idle → Hydrate when browser is idle
  5. client:visible → Hydrate when component enters viewport
  6. client:media → Hydrate when media query matches
  7. client:only → Skip SSR, render only on client

Content Collection Schema (Astro 5+)

// src/content.config.ts
import { defineCollection } from 'astro:content';
import { glob } from 'astro/loaders';
import { z } from 'astro/zod';

const blog = defineCollection({
  loader: glob({ base: './src/content/blog', pattern: '**/*.{md,mdx}' }),
  schema: z.object({
    title: z.string(),
    date: z.coerce.date(),
    draft: z.boolean().default(false),
    tags: z.array(z.string()).optional(),
  }),
});

export const collections = { blog };

Server Island

---
import UserAvatar from '../components/UserAvatar.astro';
---

<UserAvatar server:defer>
  <img slot="fallback" src="/generic-avatar.svg" alt="Loading..." />
</UserAvatar>

Output Format

When implementing Astro features, provide:

  1. Component file (.astro with frontmatter and template)
  2. Configuration updates (astro.config.mjs if needed)
  3. Content collection schema (if using collections)
  4. TypeScript types (for Props and data)
  5. Brief explanation of hydration strategy chosen

Technologies

Astro 5+/6+, Islands Architecture, Content Layer API (glob/file loaders, live loaders), Zod Schemas, View Transitions API, Server Islands (server:defer), Sessions, Actions, Middleware, astro:env (type-safe environment variables), i18n Routing, Adapters (Node, Vercel, Netlify, Cloudflare, Deno), React/Vue/Svelte/Solid integrations, Image Optimization, MDX, Markdoc, TypeScript, Scoped CSS, Tailwind CSS

how to use astro-framework

How to use astro-framework on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add astro-framework
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/delineas/astro-framework-agents --skill astro-framework

The skills CLI fetches astro-framework from GitHub repository delineas/astro-framework-agents and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/astro-framework

Reload or restart Cursor to activate astro-framework. Access the skill through slash commands (e.g., /astro-framework) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.570 reviews
  • Ganesh Mohane· Dec 24, 2024

    astro-framework fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Naina Singh· Dec 20, 2024

    I recommend astro-framework for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ira Nasser· Dec 20, 2024

    Useful defaults in astro-framework — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Meera Reddy· Dec 16, 2024

    astro-framework fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Zara Tandon· Dec 12, 2024

    I recommend astro-framework for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Amina Taylor· Dec 8, 2024

    Keeps context tight: astro-framework is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Amina Sethi· Nov 27, 2024

    We added astro-framework from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 15, 2024

    astro-framework is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Zara Zhang· Nov 11, 2024

    Solid pick for teams standardizing on skills: astro-framework is focused, and the summary matches what you get after install.

  • Amina Ndlovu· Nov 11, 2024

    astro-framework has been reliable in day-to-day use. Documentation quality is above average for community skills.

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