Skill UI

This skill designs the structural foundation of a system, including data models, API contracts, and file organization. It ensures architectural decisions are documented and justified before implementation. Used by System Architects to create blueprints for developers to follow during coding.

This skill enables building production-ready serverless applications on AWS. It covers core components like Lambda functions, API Gateway, and DynamoDB. It also includes event-driven patterns using SQS and SNS, deployment strategies with SAM or CDK, and optimization techniques for cold starts. Ideal for backend development and cloud-native architecture implementation.

This skill offers expert guidance for building serverless applications and event-driven architectures on AWS based on Well-Architected Framework principles. It covers Lambda functions, REST APIs, microservices, and asynchronous workflows. Key principles include designing for concurrency, stateless functions, and orchestration using Step Functions. Ideal for scalable, resilient cloud infrastructure design.

Build production-grade Azure Cosmos DB NoSQL services using Python with FastAPI. Covers authentication, service layer architecture, Pydantic models, and TDD principles for secure backend development.

This skill empowers you to implement secure backend coding practices, focusing on input validation, authentication, and API security. It covers vulnerability prevention, defensive programming, and secure architecture implementation. Ideal for building security-first applications that resist common attack vectors like SQL injection, XSS, and CSRF. Includes expertise in database protection, secret management, and HTTP security headers.

This skill covers backend architecture patterns, API design, and database optimization specifically for Node.js, Express, and Next.js. It provides server-side best practices for building scalable applications. Use this for designing robust backend systems and optimizing performance in modern web development environments.

This skill provides a template for creating project-specific guidelines based on production applications. It includes architecture overviews, file structures, code patterns, testing requirements, and deployment workflows. Ideal for standardizing development practices across teams using technologies like Next.js, FastAPI, and AI integrations.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI analysis. Ideal for building documentation pipelines, standardizing docs across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

This guide provides best practices for building flexible, maintainable, and scalable React components. It emphasizes using composition patterns and compound components to avoid 'boolean prop proliferation,' while also detailing advanced concepts in component architecture, state management, and modern implementation techniques (including React 19 APIs). Ideal for refactoring complex systems or designing reusable component libraries.

Transform technical documentation into a powerful marketing channel to attract, convert, and retain developers. This skill covers creating documentation that ranks in search, reduces friction, and builds trust. It focuses on information architecture, quickstart optimization, and API reference best practices to turn curious visitors into active users who recommend your product.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI-powered analysis. Ideal for building documentation pipelines, standardizing documentation across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

This guide provides comprehensive templates and best practices for structuring all types of technical documentation. It covers essential formats including README files, REST API endpoints, code comments (JSDoc), Changelogs, Architecture Decision Records (ADR), and AI-optimized documentation. Use these templates to ensure your project documentation is standardized, scannable, and easily consumable by both human developers and AI agents.