3,078 boosters — AI-graded, open source, ready to install
mcp-orchestrator automates the discovery, deployment, and integration of MCP servers for AI agents, with Docker-first containerization and fallback native deployment options. It's essential for developers building complex agent systems who need reliable infrastructure management.
smrt is an AI agent expert for building intelligent agents using the @have/smrt framework with capabilities in ORM, database schema generation, and cross-package integration. Developers building complex AI agents with persistent entity management will benefit from its specialized framework knowledge.
Caption-clip automates downloading YouTube videos and adding styled captions using yt-dlp and Deepgram transcription, enabling content creators and developers to quickly generate captioned clips with timestamps.
This MCP server enables AI-driven WordPress content creation with advanced features like automated SEO optimization, image hosting, and one-click publishing. It's useful for content creators, bloggers, and WordPress developers who want to streamline their publishing workflow with AI assistance.
Atlas is positioned as a technical research agent but actually contains project-specific SEO strategy for DirectoryBolt, a business directory SaaS. It lacks reusability and doesn't align with its declared purpose.
Cursor Rules booster provides Rails 8 + Ruby 3.2.2 development guidelines covering code style, naming conventions, and project structure for RESTful applications using PostgreSQL. Developers working on Rails projects in Cursor will benefit from standardized conventions and best practices.
A system prompt that transforms Claude into Natalie, a bilingual customer support representative for Nationex delivery services, with optimized rules for fast transfers, concise responses, and French-language prioritization based on real failure analysis.
This MCP server enables Claude to interact with GitHub repositories by listing PRs, commits, and comparing changes directly within the Claude interface. Developers and DevOps engineers benefit from seamless GitHub integration without leaving their AI assistant.
Heuristic scoring (no AI key configured).
Converts deepagents' single `task` tool into individual `AgentTool` instances for cleaner sub-agent delegation in adk-deepagents. Developers building hierarchical multi-agent systems benefit from this more modular approach to agent composition.
A specialized agent that automates the creation and maintenance of API documentation, including OpenAPI specs, README files, onboarding guides, and technical guides. Developers building APIs or managing technical documentation will find this agent valuable for keeping documentation consistent and up-to-date.
Smith is a feedback validation agent that uses parallel research sub-agents to rigorously critique code feedback and plans, ideal for teams needing systematic validation of technical reviews.
A QA-focused agent that systematically verifies PRs against quality gates, runs comprehensive checks, and delivers clear pass/block decisions to ensure release readiness. Ideal for development teams seeking automated quality assurance and consistent code review standards.
A specialized skill for designing and building credible B2B SaaS marketing websites that balance product positioning with consultancy capability, prioritizing layout systems and information architecture over component libraries. Ideal for founders, marketing teams, and designers building Genesis or similar enterprise-focused platforms.
A React 19 + TypeScript full-stack template optimized for AI-assisted development with feature-driven architecture and TanStack ecosystem integration, designed for Copilot users seeking type-safe, scalable project scaffolding.
A meta-framework for creating specialized Claude Code agents with structured templates, role definitions, and best practices. Ideal for teams building agent-based workflows and multi-agent systems within Claude Code.
A performance engineering agent that profiles applications, identifies bottlenecks, and implements optimization strategies including caching, load testing, and query optimization. Developers and DevOps engineers use it to improve application speed and scalability.
This MCP server integrates BrowserStack's Design Stack into AI assistants, enabling developers to search components, access documentation, and leverage design system guidance directly within Claude and Claude Code. It's valuable for teams using BrowserStack who want AI-assisted design system adoption and component discovery.
This booster provides three AI interview agents (easy, medium, hard difficulty levels) built with Fetch.ai uAgents SDK to help users practice and improve their interviewing skills through interactive Q&A. Developers and interview coaches benefit from a reusable, multi-difficulty agent framework.
A system prompt that guides instructional designers through a structured, iterative process to create technical course curricula by eliciting user feedback on prerequisites, core concepts, and pedagogical patterns. Useful for educators, course creators, and AI coding assistants building educational content.
Aztec Developer is a skill booster providing patterns and best practices for Aztec smart contract development, including workspace setup, contract writing, and testing. It's designed for developers building on the Aztec platform who need structured guidance on development workflows.
