1,353 boosters for "rules" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
A Spanish-language customer review classifier that outputs structured JSON sentiment analysis (positive/negative) with categorized labels for e-commerce and logistics contexts. Useful for developers building customer feedback systems, support tools, and business intelligence dashboards in Spanish-speaking markets.
A system prompt for Cursor that provides architectural rules and implementation guidelines for refactoring Next.js applications to properly separate MCP/agent infrastructure from user-facing features using token-based authentication. Intended for backend engineers building agent-enabled applications.
VeedurIA enforces strict Git workflow rules for Windsurf, prohibiting task-tracking files and redirecting state management to GitHub Issues. Useful for teams wanting to maintain clean repositories and centralized issue tracking.
A contribution guidelines document for the BoomScraper project covering development setup, testing, and code standards. Useful for potential contributors to the open-source project.
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.
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.
Cursor Rules for kikichoice-web provides mandatory workspace guidelines enforcing safe, context-aware coding practices with explicit state-change confirmation and rigorous validation before file modifications. Developers using Cursor on the kikichoice-web project benefit from standardized safety protocols and proactive assistance workflows.
Windsurf Rules for avni-etl defines coding standards, project structure, and tech stack guidelines for Java Spring Boot-based ETL development. Developers working on the avni-etl project benefit from clear conventions for code organization, language usage, and architecture decisions.
