126 boosters for "rag" — AI-graded, open source, ready to install
Senior QA Engineer and SDET specializing in test automation, accessibility validation, and performance testing. Expert in comprehensive testing strategies for video streaming applications with 90% coverage targets and WCAG compliance.
A1-Vision is a vision-aware system prompt that enables AI assistants to understand screenshots, UI elements, and on-screen text while leveraging memory retrieval and structured reasoning. It's useful for developers building vision-capable AI agents across multiple platforms (Claude, ChatGPT, Cursor, Windsurf).
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 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.
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.
This MCP server integrates ResourceSpace digital asset management (DAM) with Claude and Cursor, enabling AI assistants to query, manage, and organize digital assets directly. It benefits teams managing large media libraries who want to leverage AI for asset discovery and workflow automation.
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.
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 Copilot prompt booster that integrates Memory Bank MCP as a RAG system to prevent hallucinations and coordinate multi-agent tasks in VSCode projects. Teams using multi-agent AI development workflows benefit from enforced task routing and resource management.
Heuristic scoring (no AI key configured).
A memory management system for AI agents using Qdrant vector database, enabling persistent semantic storage and retrieval of information across Claude conversations.
A system prompt designed to enhance AI coding assistance for Singapore small business bookkeeping tasks, enabling developers to leverage deep-thinking and systematic debugging capabilities.
Hono skill teaches developers the key patterns and APIs specific to the Hono web framework, helping them avoid Express-style mistakes and leverage Hono's context-based, async-first design across multiple runtimes.
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.
This MCP server integrates Jenkins CI/CD pipelines with Claude, enabling AI-assisted automation of build, test, and deployment workflows. It benefits DevOps engineers and developers who want to leverage AI for Jenkins management and troubleshooting.
This Cursor rule configures an AI agent to leverage the Hytopia MCP Server for SDK assistance, helping developers build games with accurate, up-to-date guidance and examples.
This booster appears to mislabel a Git commit message generator as a Microsoft Ignite 2025 session browser, creating confusion about its actual purpose and functionality.
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.
A specialized Formula 1 racing chat application built with Next.js, React, and Tailwind CSS. This project uses Retrieval Augmented Generation to provide accurate, context-aware responses.
A testing specialist agent that writes comprehensive, meaningful tests and debugs failing test suites, with built-in knowledge of modern testing stacks (Vitest, Testing Library, MSW, Playwright). Developers use it to improve test coverage, catch real bugs, and maintain test-driven development practices.
MCP server providing semantic code search and API reference for the Immersive Web SDK using RAG (Retrieval-Augmented Generation) with vector embeddings
Cursor Rules for rag_demo
Cursor Rules for Astro projects that provides best-practice guidelines for leveraging Astro's modern features like View Transitions, content collections, server endpoints, and hybrid rendering. Developers using Astro with Cursor IDE benefit from automated code suggestions aligned with these patterns.
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.
