1,442 boosters — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
This Cursor rules booster instructs AI agents to leverage the Hytopia MCP Server for accurate SDK guidance and game development examples. It's designed for developers building games with the Hytopia SDK who need reliable, up-to-date implementation assistance.
Cursor Rules for a Nostr client application providing developers with comprehensive tech stack guidance, project structure, and custom hooks documentation for building React-based Nostr protocol integrations.
This booster provides Cursor Rules for the finoria-frontend project, implementing an Arabic-language chain-of-thought reasoning framework with step budgeting and quality scoring mechanisms to guide AI problem-solving processes.
Copilot Instructions for trvly establishes coding standards and guidelines for GitHub Copilot usage, covering style, documentation, testing, and security practices. Developers working on the trvly project benefit from having consistent, AI-assisted code generation aligned with team standards.
Copilot Instructions for Ruby development using octokit.rb, providing standardized guidance on environment setup, testing, and GitHub operations to streamline AI-assisted Ruby coding workflows.
This Cursor rule enforces interactive feedback loops by requiring MCP calls during question-asking and request completion, improving user engagement in AI-powered workflows. Developers building conversational AI systems with Cursor will benefit from structured feedback collection.
A template and guidance document for customizing system prompts for hackathon presentation automation, particularly for integrating with demo tools and avatar systems. Useful for hackathon organizers and participants building AI-powered presentation systems.
AI development guidelines for Copilot that establish best practices for code implementation, including respecting user design patterns, asking clarifying questions, and following a structured workflow. Developers working with Copilot on Node.js projects benefit from clear expectations on how the AI should assist with design decisions and problem-solving.
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.
Cursor rules for managing async client-side data with TanStack Query, providing developers with structured guidance on queries, mutations, and cache invalidation in React applications.
