webmcp
Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
136 skills found
Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.
A specialized tool for generating single-file HTML user interfaces with integrated Tailwind CSS, perfect for rapid prototyping, UI exploration, and design inspiration.
Build accessible, consistent UIs using shadcn/ui and Tailwind CSS. Employs a component-first architecture for design systems, React Hook Form integration, and responsive mobile-first development.
A standardized fullstack pattern for Next.js features, integrating GET API routes, server actions, SWR data fetching, and React Hook Form with Zod validation.
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.
A design-focused coding agent that brings world-class interface craft, motion, and systematic front-end engineering to your development workflow.
Automated Vitest management skill: handles test execution, coverage reporting, failure diagnosis, and configuration management for TypeScript/JavaScript projects.
Automates the generation and synchronization of localized translation strings for Payload CMS core packages and plugins.
TypeScript development standards for LobeHub, covering type safety, async patterns, import organization, UI component integration, and performance optimization.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
Build modern, composable, and accessible React UI components following the components.build specification. Use for design systems, component libraries, and reusable UI architectures.
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.