1,472 boosters for "rules" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
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.
Cursor Rules for developing Amazon-clone projects with Next.js, React, and modern tooling. Ideal for developers building e-commerce applications who want consistent TypeScript, component, and styling conventions.
A specialized reverse engineering and malware analysis platform with MCP orchestration and containerized tooling, designed for security researchers and binary analysts working with Project Diablo 2 and general malware investigations.
This Cursor rules booster enforces consistent Bun package manager usage across a project, preventing dependency management conflicts and ensuring team alignment on tooling. It benefits developers working in Bun-based projects who want to eliminate confusion from mixed package managers.
Starter template providing pre-configured GitHub Actions for Node.js projects with ESLint, Prettier, Jest, and ncc bundling, paired with Copilot instructions for consistent code quality. Ideal for developers building GitHub Actions who want best practices and AI-assisted development out of the box.
A system prompt for building an Islamic knowledge assistant that provides accurate, referenced answers about Islam from authentic Qur'anic and Hadith sources. Useful for developers creating Islamic Q&A features across multiple AI platforms.
Cursor Rules for Agency-Swarm provides a structured prompt framework for architects designing collaborative AI agent systems, enabling step-by-step planning and implementation of multi-agent architectures within the Cursor IDE.
This Cursor rules booster optimizes React component performance by promoting server-side rendering, lazy loading, and resource efficiency. It's ideal for developers building Next.js/React applications who want to reduce client-side overhead and improve load times.
A Copilot prompt that enforces strict coding standards (copyright headers, formatting, naming conventions) across C/C++ and multiple languages for teams building the gabriel teleoperation platform. Developers maintaining multi-language codebases with consistent quality requirements benefit most.
This system prompt enables smaller LLMs (8B-20B parameters) to control Windows 11 desktops through the Model Context Protocol, automating desktop tasks via natural language. It's valuable for developers building AI agents, automation workflows, and users seeking lightweight local alternatives to cloud-based desktop controllers.
