2d-games
無料2D game development principles. Sprites, tilemaps, physics, camera.
日本語の概要は準備中です。原文の説明を表示しています。
Build modern full-stack web applications with Next.js (App Router, Server Components, RSC, PPR, SSR, SSG, ISR), Turborepo (monorepo management, task pipelines, remote caching, parallel execution), and RemixIcon (3100+ SVG icons in outlined/filled styles). Use when creating React applications, implementing server-side rendering, setting up monorepos with multiple packages, optimizing build performance and caching strategies, adding icon libraries, managing shared dependencies, or working with TypeScript full-stack projects.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Comprehensive guide for building modern full-stack web applications using Next.js, Turborepo, and RemixIcon.
This skill group combines three powerful tools for web development:
Next.js - React framework with SSR, SSG, RSC, and optimization features Turborepo - High-performance monorepo build system for JavaScript/TypeScript RemixIcon - Icon library with 3,100+ outlined and filled style icons
Use when building a standalone application:
Setup:
npx create-next-app@latest my-app
cd my-app
npm install remixicon
Use when building multiple applications with shared code:
Setup:
npx create-turbo@latest my-monorepo
# Then configure Next.js apps in apps/ directory
# Install remixicon in shared UI packages
| Feature | Next.js | Turborepo | RemixIcon |
|---|---|---|---|
| Primary Use | Web framework | Build system | UI icons |
| Best For | SSR/SSG apps | Monorepos | Consistent iconography |
| Performance | Built-in optimization | Caching & parallel tasks | Lightweight fonts/SVG |
| TypeScript | Full support | Full support | Type definitions available |
# Create new project
npx create-next-app@latest my-app
cd my-app
# Install RemixIcon
npm install remixicon
# Import in layout
# app/layout.tsx
import 'remixicon/fonts/remixicon.css'
# Start development
npm run dev
# Create monorepo
npx create-turbo@latest my-monorepo
cd my-monorepo
# Structure:
# apps/web/ - Next.js application
# apps/docs/ - Documentation site
# packages/ui/ - Shared components with RemixIcon
# packages/config/ - Shared configs
# turbo.json - Pipeline configuration
# Run all apps
npm run dev
# Build all packages
npm run build
// Webfont (HTML/CSS)
<i className="ri-home-line"></i>
<i className="ri-search-fill ri-2x"></i>
// React component
import { RiHomeLine, RiSearchFill } from "@remixicon/react"
<RiHomeLine size={24} />
<RiSearchFill size={32} color="blue" />
Next.js References:
Turborepo References:
RemixIcon References:
my-monorepo/
├── apps/
│ ├── web/ # Customer-facing Next.js app
│ ├── admin/ # Admin dashboard Next.js app
│ └── docs/ # Documentation site
├── packages/
│ ├── ui/ # Shared UI with RemixIcon
│ ├── api-client/ # API client library
│ ├── config/ # ESLint, TypeScript configs
│ └── types/ # Shared TypeScript types
└── turbo.json # Build pipeline
turbo.json:
{
"$schema": "https://turbo.build/schema.json",
"pipeline": {
"build": {
"dependsOn": ["^build"],
"outputs": [".next/**", "!.next/cache/**", "dist/**"]
},
"dev": {
"cache": false,
"persistent": true
},
"lint": {},
"test": {
"dependsOn": ["build"]
}
}
}
// packages/ui/src/button.tsx
import { RiLoader4Line } from "@remixicon/react"
export function Button({ children, loading, icon }) {
return (
<button>
{loading ? <RiLoader4Line className="animate-spin" /> : icon}
{children}
</button>
)
}
// apps/web/app/page.tsx
import { Button } from "@repo/ui/button"
import { RiHomeLine } from "@remixicon/react"
export default function Page() {
return <Button icon={<RiHomeLine />}>Home</Button>
}
// app/posts/[slug]/page.tsx
import { notFound } from 'next/navigation'
// Static generation at build time
export async function generateStaticParams() {
const posts = await getPosts()
return posts.map(post => ({ slug: post.slug }))
}
// Revalidate every hour
async function getPost(slug: string) {
const res = await fetch(`https://api.example.com/posts/${slug}`, {
next: { revalidate: 3600 }
})
if (!res.ok) return null
return res.json()
}
export default async function Post({ params }: { params: { slug: string } }) {
const post = await getPost(params.slug)
if (!post) notFound()
return <article>{post.content}</article>
}
# .github/workflows/ci.yml
name: CI
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 18
- run: npm install
- run: npx turbo run build test lint
env:
TURBO_TOKEN: ${{ secrets.TURBO_TOKEN }}
TURBO_TEAM: ${{ secrets.TURBO_TEAM }}
Python utilities in scripts/ directory:
nextjs-init.py - Initialize Next.js project with best practices turborepo-migrate.py - Convert existing monorepo to Turborepo
Usage examples:
# Initialize new Next.js app with TypeScript and recommended setup
python scripts/nextjs-init.py --name my-app --typescript --app-router
# Migrate existing monorepo to Turborepo with dry-run
python scripts/turborepo-migrate.py --path ./my-monorepo --dry-run
# Run tests
cd scripts/tests
pytest
Next.js:
Turborepo:
RemixIcon:
Building with this stack:
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
2D game development principles. Sprites, tilemaps, physics, camera.
日本語の概要は準備中です。原文の説明を表示しています。
3D game development principles. Rendering, shaders, physics, cameras.
日本語の概要は準備中です。原文の説明を表示しています。
Create aesthetically beautiful interfaces following proven design principles. Use when building UI/UX, analyzing designs from inspiration sites, generating design images with ai-multimodal, implementing visual hierarchy and color theory, adding micro-interactions, or creating design documentation. Includes workflows for capturing and analyzing inspiration screenshots with chrome-devtools and ai-multimodal, iterative design image generation until aesthetic standards are met, and comprehensive design system guidance covering BEAUTIFUL (aesthetic principles), RIGHT (functionality/accessibility), SATISFYING (micro-interactions), and PEAK (storytelling) stages. Integrates with chrome-devtools, ai-multimodal, media-processing, ui-styling, and web-frameworks skills.
日本語の概要は準備中です。原文の説明を表示しています。
Use when implementing or managing persistent, hierarchical memory systems for AI agents. Covers cross-session state, fact supersession, and self-managed memory tools to enable long-term recall and adaptive agent behavior.
日本語の概要は準備中です。原文の説明を表示しています。
Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing, OpenTelemetry, Langfuse, latency, token cost, loop detection, telemetry.
日本語の概要は準備中です。原文の説明を表示しています。
Use when building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.
日本語の概要は準備中です。原文の説明を表示しています。