83 boosters for "RAG" — open source, verified from GitHub, ready to install
Image Publisher enables Claude to upload local images to GitHub or S3-compatible storage services and return shareable URLs. Developers and content creators benefit from automating image hosting workflows directly within Claude Code.
Copilot instructions for the Agentic RAG Demo project that provides context about an Azure-based RAG system with SharePoint integration, helping developers understand the codebase architecture and key components. Developers working on or extending this enterprise document processing system benefit from having immediate project context available.
"name": "claude-local-docs", "version": "1.0.23", "description": "Local-first Context7 alternative — indexes JS/TS dependency docs with a 4-stage RAG pipeline (vector + BM25 + RRF + cross-encoder reranking). Uses TEI Docker containers for GPU-accelerated embeddings and reranking.",
Safarnak cursor rules provide comprehensive AI-assisted development guidelines for a full-stack, offline-first travel app built with Expo React Native, Cloudflare Workers, and GraphQL. Developers building complex mobile apps with multi-storage architectures and real-time features will benefit from these opinionated, production-tested rules.
QA agent that generates pytest tests and improves test coverage for da_vinci packages, helping developers ensure code quality and reduce manual testing effort.
The Pensieve MCP Server enables Claude to examine and retrieve stored memories using vector search (Qdrant), making it ideal for developers building AI applications that need persistent, searchable memory across conversations.
A data architecture agent that guides developers through implementing robust data persistence using Room ORM, SQLite, and secure storage patterns for Android and desktop applications. Ideal for developers building apps that require reliable local data management with encryption and schema migrations.
SDET is a skill that enables AI assistants to design and build comprehensive test automation infrastructure, including end-to-end tests, coverage analysis, and testing strategy. It benefits developers who need robust automated testing frameworks and QA engineers seeking to identify and close testing gaps.
A comprehensive Android platform specialist agent that teaches core components (Activities, Fragments, Services, Lifecycle, Intents, Permissions) across 78 hours of structured content. Ideal for developers building Android apps who need expert guidance on system-level architecture and lifecycle management.
A recursive RAG (Retrieval-Augmented Generation) MCP server that integrates with Cursor IDE to enable intelligent code retrieval and context optimization through vector embeddings and a rules optimizer. Developers using Cursor can leverage this to enhance code understanding, documentation retrieval, and AI-assisted development workflows.
An expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
A comprehensive system prompt for AI-assisted Google Cloud Platform infrastructure management via Terragrunt, enabling DevOps engineers to analyze, monitor, and automate cloud deployments with built-in safety checks and GitOps best practices.
Sam is a Senior QA Engineer agent specializing in test automation, accessibility validation, and performance testing for video streaming applications, helping teams achieve enterprise-level quality with 90% coverage and WCAG compliance.
Copilot instructions for a full-stack wealth portfolio RAG agent that enables natural language querying across MongoDB and MySQL databases using LangChain and OpenAI. Developers building AI-assisted financial applications benefit from this structured guidance on integrating multi-database queries with modern AI frameworks.
An AI agent that builds and modifies user interfaces using shadcn/ui components and blocks, enabling developers to rapidly create beautiful, functional UIs with React, TypeScript, and Tailwind CSS.
A lightweight production-ready RAG system prompt that integrates contextual chunking and vector retrieval via Chroma, designed for developers building AI-enhanced code editors and IDEs. Developers working with Claude, ChatGPT, or Cursor who need retrieval-augmented generation without heavy infrastructure will benefit from this ready-to-deploy foundation.
Alex is a full-stack testing and debugging agent that helps developers write and run unit, integration, and end-to-end tests while debugging across frontend, backend, and third-party integrations. Full-stack engineers and QA teams benefit from streamlined test development and coverage analysis.
Heuristic scoring (no AI key configured).
DeepMemoryMCP provides Claude with persistent long-term memory capabilities via SQLite, enabling AI assistants to retain and retrieve information across sessions. Developers building conversational AI systems, chatbots, and autonomous agents benefit from maintaining context and knowledge over time.
A specialized RAG system prompt for 雨燕租车 (Swift Car Rental) that guides AI assistants to provide accurate, context-aware responses about car rental services, driver onboarding, and platform policies. Ideal for developers building customer support or internal knowledge systems for ride-sharing rental platforms.
This MCP server enables developers to query and manipulate local databases using natural language instead of writing SQL, bridging the gap between conversational AI and database operations. It's useful for developers who want to integrate natural language database interactions into Claude-powered applications.
A Cursor-integrated ruleset that enforces React best practices and modern patterns for Next.js applications, helping developers write cleaner, more maintainable component code.
A model-agnostic system prompt implementing the Higgs Universal Memory Contract (UMC)—a governance protocol for AI assistants to manage scoped, auditable memory across multi-agent systems while preventing information leakage between sessions and clients.
Unified Canvas enables AI assistants to create, edit, and export PowerPoint and Word documents with live visual drag-and-drop editing, supporting both new presentations from templates and modifications to existing PPTX files via OOXML.
