1,330 boosters — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
A system prompt for the Colorist desktop app that enables AI assistants to interpret natural language color descriptions and set RGB values through a specialized tool. Useful for developers building color-picking features into Claude Code, Cursor, Windsurf, and ChatGPT integrations.
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 comprehensive design system prompt for building glassmorphic dark-themed React applications with Tailwind CSS and Lucide icons, intended for use across multiple AI coding platforms.
A TypeScript and Next.js style guide for the Circles Clinic UI project that establishes conventions for type safety, naming, and best practices. Developers working on this specific project benefit from standardized coding guidelines enforced through Cursor rules.
A comprehensive Cursor rules file that enforces Python best practices and coding standards across projects, helping developers maintain clean, secure, and maintainable code through automated linting guidelines.
Windsurf rules configuration for a Nakama-based Hangman Party Game server written in TypeScript. Useful for developers building multiplayer hangman games on the Windsurf platform.
Firebot is an AI tutor system prompt designed for Pacific Ridge School that guides students toward independent problem-solving through clarifying questions, resource suggestions, and guided reasoning rather than direct answers. Teachers and educators can deploy this prompt across multiple AI platforms to provide after-school tutoring support.
Equoria Cursor Rules establishes development standards, tech stack guidelines, and CI/CD practices for Equoria projects, helping teams maintain consistency across Node.js/React Native full-stack development.
A production-grade Windsurf prompt that scaffolds an ML malware detection system with ensemble models, SHAP explainability, and Streamlit UI. Security engineers and ML developers benefit from a complete, opinionated template for building enterprise malware classification tools.
Core development guidelines for AIoIA projects covering code quality, security, testing, and release practices for Python and TypeScript codebases. Ideal for teams building multi-language infrastructure who need unified standards and automated workflows.
A system prompt that enforces strict architectural rules for a CEO Request Management System, ensuring consistent database naming, security controls, audit logging, and approval workflows across AI coding assistants like Claude, ChatGPT, and Cursor.
