Skill UI

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.

Provides common AWS CDK patterns and constructs for building reusable cloud infrastructure stacks with TypeScript, Python, or Java. Covers serverless APIs, ECS services, and best practices for L2/L3 constructs, IAM least privilege, and production readiness.

Expert guidance on AWS CloudFormation template optimization, nested stacks, drift detection, and production-ready patterns. Use when writing or reviewing CF templates for maintainability, cost, and safety.

A skill for building UI with a core component library and design system patterns. Provides guidance on using design tokens for spacing, colors, and typography, and includes patterns for Box, HStack, VStack, Text, Button, Input, and Card components. Ideal for consistent, maintainable UI development.

This skill provides modern React UI patterns for loading states, error handling, and data fetching. It covers principles like never showing stale UI, always surfacing errors, and optimistic updates. Use it when building UI components, managing async data, or handling form submissions to ensure a responsive and user-friendly experience.

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.

This skill covers building user interfaces using a core component library and design system patterns. It emphasizes using design tokens for spacing, color, and typography instead of hard-coded values. Includes components like Box, Button, Input, and layout patterns for forms and lists. Ensures consistent styling and behavior across the application.

This skill provides strategies and patterns to optimize cloud spending across AWS, Azure, and GCP. It covers visibility, right-sizing, pricing models, and architecture optimization to reduce costs while maintaining performance. Includes specific guidance on reserved instances, spot instances, tagging, and budget alerts.

This skill provides comprehensive guidelines for writing idiomatic and efficient C++ code. It covers memory management, modern types, move semantics, templates, error handling, concurrency, and common anti-patterns to ensure safe and maintainable software development.

This skill guides you in implementing Command Query Responsibility Segregation (CQRS) patterns for scalable software architectures. It focuses on separating read and write models to optimize query performance and support event-sourced systems. Use this when you need to scale reads independently from writes or handle complex query scenarios. It is suitable for building high-performance reporting systems where detailed read/write data models are required.

This skill provides production-tested patterns for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges. It covers systematic crypto business development, including multi-chain scanning, token scoring systems, wallet forensics for safety verification, and managing outreach pipelines with human oversight. Built from real-world experience, it teaches LLM cascade patterns and on-chain identity registration.

This skill provides comprehensive language-specific guidelines for writing idiomatic and efficient C# code. It covers essential topics such as LINQ usage, null handling, async/await patterns, records, pattern matching, error handling, and resource management. The guide also highlights common anti-patterns to avoid, ensuring developers follow best practices for maintainability and performance in C# projects.