1,554 boosters for "cu" — open source, verified from GitHub, ready to install
Heuristic scoring (no AI key configured).
Dewey is a lightweight research agent that delegates documentation and code research tasks to Gemini Flash, enabling quick lookups of best practices, library patterns, and production examples across the web and GitHub.
A Cursor-specific rules document that establishes coding guidelines and best practices for the Wizard's Choice game project, helping developers maintain consistency by referencing centralized documentation in the `/docs` directory.
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.
Cursor Rules for building a unique portfolio website that delegates detailed instructions to an external SKILL.md file, helping developers maintain consistency across design, content, and deployment decisions.
A caching HTTP-to-HTTPS proxy for reference APIs that reduces costs and prevents rate limiting through intelligent caching and throttling. Developers building Copilot applications that depend on external reference data sources (ConceptNet, DBpedia, Wikidata) benefit most.
Cursor Rules for gaowei-meeting that enforces interactive feedback loops via MCP during development sessions, ensuring continuous user input before task completion. Useful for teams wanting structured feedback integration in Cursor IDE workflows.
code-reviewer-pro is an AI-powered senior engineering lead that provides comprehensive code reviews covering quality, security, maintainability, and best practices with actionable feedback. Developers benefit from immediate, educational code analysis after writing or modifying code.
Provides comprehensive reference documentation and code examples for Flowbite TailwindCSS UI components, helping developers quickly implement pre-built, styled components in their HTML projects.
A multi-agent red-teaming framework that orchestrates coordinated AI security testing with an arbiter to consolidate findings and maintain an immutable audit trail. Security engineers and AI developers use it to systematically test LLM vulnerabilities with repeatable, deterministic results.
