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A comprehensive, community-driven repository for mastering Cursor AI , workflows, prompts, learning methodologies, and best practices.

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Cursor AI: Mastery Repository

A comprehensive, community-driven repository that transforms how developers use Cursor AI. This repository focuses on editor workflows, agent-in-loop patterns, learning through building, and real-world use cases with system and user prompts.

Reference: All Cursor features and capabilities documented here are based on the official Cursor Documentation. Please refer to the official docs for the most up-to-date information.

Important: See CURSOR-USAGE-NOTE.md for clarification on how workflow examples relate to actual Cursor editor usage.

Quick Start

  1. New to Cursor? Start with CLI Mastery to learn the fundamentals
  2. Want to build with agents? Check out Agent-in-Loop Patterns
  3. Learning a new concept? Explore Learning and Building
  4. Need a specific role? Browse Use Cases with Prompts

Repository Structure

  • 01-CLI-Mastery - CLI commands, productivity hacks, MCP integration, and advanced workflows
  • 02-Agent-in-Loop - Agent loop patterns, context management, guardrails, and multi-agent orchestration
  • 03-Learning-and-Building - Learning methodology, TDD with Cursor, building real projects, advanced techniques
  • 04-Use-Cases-with-Prompts - Pre-built agent configurations for Backend, Frontend, QA, DevOps, Marketing, UI/UX, and Product Management
  • 05-Models-Rules-Context - Model selection guide, rules best practices, rule sets library, context planning
  • 06-Planning-and-Execution - Planning mode strategies, prompt engineering, iterative refinement
  • 07-Advanced-Topics - Custom MCP servers, voice-powered development, CI/CD integration, large codebase management - Content coming soon
  • 08-Troubleshooting - Common issues, agent stuck loops, context overflow, FAQ
  • 09-Community-Resources - Contributors, case studies, weekly tips, video tutorials

Goals

  • CLI best practices and productivity hacks
  • Agent-in-loop workflows and patterns
  • Learning complex concepts through building (not just vibecoding)
  • Real-world use cases with system and user prompts
  • Centralized reference for models, rules, context, and advanced features

Contributing

We welcome contributions from the community! Please read our Contributing Guidelines before submitting pull requests or issues.

How to Contribute

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes following our documentation standards
  4. Commit your changes (git commit -m 'Add amazing feature')
  5. Push to the branch (git push origin feature/amazing-feature)
  6. Open a Pull Request

Resources

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Built by and for the Cursor AI community. Special thanks to all contributors who make this repository a valuable resource for developers worldwide.

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