A unified system for building production-ready websites, AI applications, and automated workflows using modern web technologies and MCP integration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-labs-builder
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-labs-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Labs Builder?
AI Labs Builder is a comprehensive framework designed for developers who want to rapidly prototype and deploy sophisticated digital products. By leveraging the power of Openclaw Skills, this tool automates the boilerplate involved in setting up Next.js projects, TypeScript configurations, and shadcn/ui component libraries.\n\nWhether you are building a high-performance SaaS landing page, a complex AI-powered chat interface, or a real-time analytics dashboard, AI Labs Builder provides the scaffolding and best practices needed to ensure scalability and performance from day one. It bridges the gap between design and functional AI implementation.
AI Labs Builder Use Cases
- Launching a modern SaaS landing page with optimized SEO and Framer Motion animations.\n- Developing AI applications with built-in support for OpenAI, Claude, and RAG systems.\n- Constructing administrative dashboards featuring real-time data updates and KPI visualization.\n- Automating backend workflows and cron-scheduled tasks using MCP server integration.\n- Deploying production-ready projects directly to platforms like Vercel, Netlify, or GitHub Pages.
How AI Labs Builder Works
- Initiate a project using the
ailabs createcommand followed by the desired project type such as website, ai-app, dashboard, or workflow.\n2. Configure the project style and technical stack through CLI options, such as selecting a glassmorphism design or enabling streaming for AI responses.\n3. Customize the generated codebase which includes pre-integrated libraries like Tailwind CSS, shadcn/ui, and specialized AI SDKs.\n4. Integrate advanced functionalities like vector databases for RAG or MCP for tool-calling capabilities to expand agent intelligence.\n5. Deploy the application to your preferred cloud provider using the integrated deployment commands that handle environment orchestration.
AI Labs Builder Setup
To begin using this tool within the Openclaw Skills ecosystem, ensure you have the necessary environment variables set for your AI providers (OpenAI, Anthropic, etc.). You can trigger the builder directly through your agent or via CLI:\n\nbash\n# Initialize a new website project\nailabs create website my-project --type saas --style modern --seo\n\n# Configure an AI application with streaming and memory\nailabs create ai-app my-bot --type chat --provider openai --streaming --memory\n
AI Labs Builder Data Schema & Taxonomy
The skill maintains its operational state and project metadata within specific directories to ensure consistency across Openclaw Skills workflows.\n\n| Directory/File | Purpose |\n| :--- | :--- |\n| .ailabs/ | Primary state directory for project configurations and local cache. |\n| components/ | Modular shadcn/ui and custom project components. |\n| app/ | Next.js App Router structure for pages and API routes. |\n| lib/ | Shared utilities, AI provider configurations, and database clients. |\n| public/ | Static assets including images and fonts optimized for the web. |
AI Labs Builder Advanced Features
- MCP Integration: Seamlessly connect to Model Context Protocol servers for advanced tool-calling and workflow orchestration.\n- Design System Presets: Instantly switch between Modern, Glassmorphism, or Brutalism styles with pre-configured Tailwind CSS variables.\n- Multi-Provider AI Support: Native configurations for OpenAI, Anthropic Claude, and local LLM providers to avoid vendor lock-in.\n- Vector Database Support: Built-in logic for Pinecone and memory-based vector storage to facilitate robust RAG workflows.\n- Cross-Skill Synergy: Designed to work alongside mcp-workflow and gcc-context for a holistic, version-controlled AI development environment.
SKILL.md
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