Skill UI

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs. This skill guides users through establishing robust design standards, reviewing specifications, and optimizing APIs for various use cases, ensuring longevity and developer delight.

Analyzes REST API specs for convention violations, detects breaking changes, and scores design quality using automated linting, change detection, and scorecards.

A master-level architect specializing in reviewing and guiding complex, modern distributed systems. This skill excels at evaluating adherence to patterns like Clean Architecture, DDD, and Microservices. Use it when assessing scalability, resilience, security posture, and maintainability across major design changes, ensuring the resulting system is robust and future-proof.

This skill simulates a Principal Software Architect, specializing in designing, reviewing, and documenting high-level system architectures. It guides users through defining core system structures, evaluating complex technology trade-offs (e.g., ACID vs. eventual consistency), and planning for extreme scalability. Key outputs include comprehensive architecture diagrams (Mermaid) and formal Architecture Decision Records (ADRs), ensuring every major technical choice is documented with rationale and consequences.

This skill is designed to execute complex, structured workflows and actions based on a defined overview. It facilitates systematic process completion and adherence to scope. Users must ensure the task precisely matches the skill's scope, and remember that the output is not a substitute for manual validation or expert review.

This skill provides comprehensive guidelines based on Clean Code principles, transforming merely functional code into highly readable, maintainable, and robust software. It covers best practices for naming conventions, function design (small, single responsibility), error handling (exceptions over return codes), formatting, and adhering to Test-Driven Development (TDD). Use this skill when writing new features, reviewing pull requests, or refactoring legacy systems to improve overall code quality.

This comprehensive template provides a production-grade reference architecture for CodeRabbit AI code reviews. It is designed to guide teams in establishing rigorous coding standards by defining specific, best-practice instructions for various layers (API, Database, Authentication, Frontend, CI/CD, Infrastructure). Use this as a robust starting point to build a comprehensive, automated, and secure code quality review process.

This skill provides professional, AI-powered code review, integrated with Codex AI. It is designed to ensure high code quality before commits, automatically generate comprehensive CHANGELOGs, and assist in managing large-scale refactoring projects efficiently.

A powerful AI tool designed for complex, coordinated programming tasks. It enables developers to generate, refactor, and scaffold entire features across multiple files (e.g., schema, API routes, service layers, tests) while maintaining consistency with existing codebase patterns. It supports agent mode for autonomous, multi-step changes and allows systematic migration and review of all affected files via detailed diffs.

A comprehensive guide detailing how to optimize the entire software development lifecycle within the Cursor IDE. It walks users through an AI-augmented loop covering planning (Chat), scaffolding (Composer), implementing (Tab), refining (Inline Edit), testing (Chat/Terminal), committing, and reviewing code using integrated AI and Git features. Designed for maximizing developer efficiency and code quality.

Guides REST and GraphQL API creation with endpoint planning, versioning, auth, rate limits, error handling, pagination, and OpenAPI docs to keep designs consistent when building or reviewing services.

A comprehensive, end-to-end workflow bundle guiding developers through the entire software development lifecycle. It covers project scaffolding, frontend development (React/Next.js), robust backend architecture, database design, rigorous testing (TDD, E2E), code quality review, and modern CI/CD deployment practices for web and mobile applications.