Skill UI

This skill provides a comprehensive guide to designing and developing autonomous AI agents for code plugins. It covers the required file structure (YAML frontmatter), best practices for defining agent roles, designing robust system prompts, and setting up clear triggering conditions. Use this when you need to conceptualize, structure, or refine an agent's capabilities to handle complex, multi-step tasks autonomously.

A specialist in modern Angular development (v17+), focusing on standalone components, Signals, and enterprise-grade architecture. This skill covers designing complex application flows, implementing robust state management using NgRx, managing reactive patterns with RxJS, optimizing bundle performance, and ensuring high code quality through rigorous testing and adherence to best practices.

A comprehensive guide covering best practices for designing developer-friendly REST APIs. Learn proper resource naming conventions (nouns, plural, kebab-case), effective use of HTTP methods (GET, POST, PUT, PATCH, DELETE), and semantic status codes (4xx, 5xx). The guide also details advanced topics like cursor-based pagination, field filtering, query parameter usage, and robust error handling formats.

A comprehensive guide covering best practices for designing developer-friendly REST APIs. Learn proper resource naming conventions (nouns, plural, kebab-case), effective use of HTTP methods (GET, POST, PUT, PATCH, DELETE), and semantic status codes (4xx, 5xx). The guide also details advanced topics like cursor-based pagination, field filtering, query parameter usage, and robust error handling formats.

A comprehensive guide to building robust, production-ready GraphQL APIs. This skill covers schema design (SDL/code-first), implementing efficient resolvers with DataLoader for batching, handling real-time subscriptions via WebSockets, and integrating field-level authorization and complexity limiting. Supports major runtimes like Node.js and Python.

This comprehensive guide details how to utilize the Bun runtime for modern, high-performance JavaScript and TypeScript development. It covers everything from initial setup and project scaffolding to advanced package management, running code, and leveraging built-in APIs like file system operations. It is designed for developers migrating from Node.js seeking superior speed and native tooling.

A comprehensive guide and code implementation for scaling data enrichment pipelines to handle high volumes (10K-100K+ leads monthly). It covers capacity planning, optimizing batch processing using queues (e.g., BullMQ/Redis), managing rate limits, and designing multi-table architectures for robust, large-scale data ingestion.

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.

A specialist tool designed to generate, format, and validate comprehensive technical documentation. It supports multiple standards, including Google/NumPy docstrings (for Python), JSDoc (for TypeScript), and full OpenAPI/Swagger specifications. Key features include automated detection of code languages and frameworks, robust validation of code examples (using tools like doctest and OpenAPI linters), and generating structured user guides or site configurations.

This expert analyzes and refactors provided code based on clean code principles, SOLID design patterns, and modern software engineering best practices. It is designed to significantly improve the quality, maintainability, and performance of complex, messy, or poorly structured codebases, ensuring the resulting code is robust, scalable, and easy to maintain.

This expert analyzes and refactors existing codebases to enhance quality, maintainability, and performance. It specializes in applying clean code principles, SOLID design patterns, and modern software engineering best practices. Use it to clean up technical debt, simplify complex modules, or prepare a codebase for new feature development.

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.