FastMCP Development
Build and manage MCP servers using the FastMCP framework. Guide for creating tools, resources, prompts, Claude Desktop integration, and deployment with Python and TypeScript.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
469 skills found
Build and manage MCP servers using the FastMCP framework. Guide for creating tools, resources, prompts, Claude Desktop integration, and deployment with Python and TypeScript.
A structured guide for novelists to navigate the seven-step writing process, from constitution and specification to planning, tasking, drafting, and quality analysis.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
Implement production-ready AI chat interfaces using OpenAI ChatKit React components. Features include hook configuration, streaming, theming, conversation history, and custom tool integration for Next.js applications.
Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.
Create robust, scalable, and maintainable technical implementation plans for complex software projects.
An intelligent development orchestration skill that provides self-improving code analysis, build error diagnosis, and automated workflow configuration via mcp-prompts integration.
Repository implementation guide for local-skills-mcp. Provides technical documentation on MCP tool handlers, skill loading, aggregation logic, and project structure for developers.
A framework for software teams and AI agents to prevent feature creep, enforce scope discipline, and ship focused MVPs by applying strict validation, backlog hygiene, and clear decision-making processes.
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.
An autonomous AI agent loop that executes Claude Code repeatedly to build features from structured PRDs until completion.
Production-ready scaffolding for React 19 projects using Vite, TypeScript, Biome, and Vitest. Provides strict configuration, linting, formatting, and testing infrastructure.