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Ck:Web Frameworks

Community
manhvann
ck:web-frameworks

Build with Next.js (App Router, RSC, SSR, ISR), Turborepo monorepos. Use for React apps, server rendering, build optimization, caching strategies, shared dependencies.

Overview

Publishermanhvann
Repositorycodexkit
Skill nameck:web-frameworks
Stars
88
Forks
81
Bundled files
15
LicenseMIT
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.

  • 15 bundled files

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

  • Open source

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

Installation

Install the Ck:Web Frameworks 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.
    https://github.com/manhvann/codexkit/tree/main/.agents/skills/web-frameworks
  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/manhvann/codexkit.git /tmp/codexkit
mkdir -p .claude/skills
cp -r /tmp/codexkit/.agents/skills/web-frameworks .claude/skills/manhvann-ck-web-frameworks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ck:Web Frameworks 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 Ck:Web Frameworks 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 Ck:Web Frameworks 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.

Web Frameworks Skill Group

Comprehensive guide for building modern full-stack web applications using Next.js, Turborepo, and RemixIcon.

Overview

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

When to Use This Skill Group

  • Building new full-stack web applications with modern React
  • Setting up monorepos with multiple apps and shared packages
  • Implementing server-side rendering and static generation
  • Optimizing build performance with intelligent caching
  • Creating consistent UI with professional iconography
  • Managing workspace dependencies across multiple projects
  • Deploying production-ready applications with proper optimization

Stack Selection Guide

Single Application: Next.js + RemixIcon

Use when building a standalone application:

  • E-commerce sites
  • Marketing websites
  • SaaS applications
  • Documentation sites
  • Blogs and content platforms

Setup:

bash
npx create-next-app@latest my-app
cd my-app
npm install remixicon

Monorepo: Next.js + Turborepo + RemixIcon

Use when building multiple applications with shared code:

  • Microfrontends
  • Multi-tenant platforms
  • Internal tools with shared component library
  • Multiple apps (web, admin, mobile-web) sharing logic
  • Design system with documentation site

Setup:

bash
npx create-turbo@latest my-monorepo
# Then configure Next.js apps in apps/ directory
# Install remixicon in shared UI packages

Framework Features Comparison

FeatureNext.jsTurborepoRemixIcon
Primary UseWeb frameworkBuild systemUI icons
Best ForSSR/SSG appsMonoreposConsistent iconography
PerformanceBuilt-in optimizationCaching & parallel tasksLightweight fonts/SVG
TypeScriptFull supportFull supportType definitions available

Quick Start

Next.js Application

bash
# 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

Turborepo Monorepo

bash
# 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

RemixIcon Integration

tsx
// 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" />

Reference Navigation

Next.js References:

Turborepo References:

RemixIcon References:

Common Patterns & Workflows

Pattern 1: Full-Stack Monorepo

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:

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"]
    }
  }
}

Pattern 2: Shared Component Library

tsx
// 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>
}

Pattern 3: Optimized Data Fetching

tsx
// 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>
}

Pattern 4: Monorepo CI/CD Pipeline

yaml
# .github/workflows/ci.yml
name: ck: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 }}

Utility Scripts

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:

bash
# 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

Best Practices

Next.js:

  • Default to Server Components, use Client Components only when needed
  • Implement proper loading and error states
  • Use Image component for automatic optimization
  • Set proper metadata for SEO
  • Leverage caching strategies (force-cache, revalidate, no-store)

Turborepo:

  • Structure monorepo with clear separation (apps/, packages/)
  • Define task dependencies correctly (^build for topological)
  • Configure outputs for proper caching
  • Enable remote caching for team collaboration
  • Use filters to run tasks on changed packages only

RemixIcon:

  • Use line style for minimal interfaces, fill for emphasis
  • Maintain 24x24 grid alignment for crisp rendering
  • Provide aria-labels for accessibility
  • Use currentColor for flexible theming
  • Prefer webfonts for multiple icons, SVG for single icons

Resources

Implementation Checklist

Building with this stack:

  • Create project structure (single app or monorepo)
  • Configure TypeScript and ESLint
  • Set up Next.js with App Router
  • Configure Turborepo pipeline (if monorepo)
  • Install and configure RemixIcon
  • Implement routing and layouts
  • Add loading and error states
  • Configure image and font optimization
  • Set up data fetching patterns
  • Configure caching strategies
  • Add API routes as needed
  • Implement shared component library (if monorepo)
  • Configure remote caching (if monorepo)
  • Set up CI/CD pipeline
  • Configure deployment platform

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 Ck:Web Frameworks AI skill do?

Build with Next.js (App Router, RSC, SSR, ISR), Turborepo monorepos. Use for React apps, server rendering, build optimization, caching strategies, shared dependencies.

Why use Ck:Web Frameworks on TypingMind?

Because you install it once and use it with any model. Ck:Web Frameworks 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 Ck:Web Frameworks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manhvann/codexkit/tree/main/.agents/skills/web-frameworks. 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 Ck:Web Frameworks?

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 Ck:Web Frameworks?

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

Is the Ck:Web Frameworks AI skill free?

Yes. It is published on GitHub by manhvann 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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