with one click
cursor-best-practices
Best practices for working with Cursor. Use when learning how to effectively use Cursor features or optimizing your workflow.
Menu
Best practices for working with Cursor. Use when learning how to effectively use Cursor features or optimizing your workflow.
| name | cursor-best-practices |
| description | Best practices for working with Cursor. Use when learning how to effectively use Cursor features or optimizing your workflow. |
Best practices for working with Cursor to maximize productivity and code quality.
For detailed guidance, see:
references/planning.md - Plan mode and starting with plansreferences/context.md - Managing context and conversationsreferences/extending.md - Rules vs Skills, extending agentreferences/workflows.md - TDD, codebase understanding, git workflowsreferences/reviewing.md - Code review strategiesreferences/parallel-agents.md - Running agents in parallelManage Git commits using conventional commit format with atomic staging. Always generate plain git commands before running them and offer to let the user run them manually.
Create AGENTS.md files for project-specific inline rules. Use when adding small, project-specific instructions that should be committed in repos.
Media processing utilities for images, audio, and video using FFmpeg and ImageMagick. Use when working with media conversion, optimization, or batch processing tasks.
Core software engineering principles for code style, documentation, and development workflow. Applies when editing code, working in software repositories, or performing software development tasks.
Python development guidelines and best practices. Use when working with Python code.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.