Skill UI

This skill serves as an expert guide for writing, reviewing, and optimizing AWS CloudFormation templates. It covers foundational best practices, including utilizing parameterized environments, implementing nested stacks, managing stateful resources with deletion policies, and ensuring production-grade infrastructure consistency. Use it when building robust and maintainable Infrastructure as Code (IaC) for AWS.

This skill covers the end-to-end development of cross-browser extensions (Chrome, Firefox). Expertise includes mastering Manifest V3, structuring complex architecture (service workers, content scripts), managing local/sync storage, building user interfaces, and implementing monetization models. Ideal for building robust, production-ready tools and navigating store publishing policies.

Provides comprehensive guidance for developing robust, cross-platform Command Line Interface (CLI) applications. Covers the entire workflow from initial UX analysis and command design to implementation using popular frameworks (e.g., commander, click, cobra). Key features include advanced argument parsing, handling shell completions, displaying progress bars, and ensuring reliable terminal interactions across Windows, macOS, and Linux.

This skill simulates a documentation expert, capable of generating comprehensive, maintainable technical documentation directly from source code. It analyzes codebases to produce various artifacts, including API documentation, system architecture diagrams, comprehensive user guides, and technical reference manuals. It is essential for standardizing documentation and building automated documentation pipelines in large, complex projects.

Monitor the effectiveness and adoption of AI code reviews using CodeRabbit. This skill calculates critical metrics including review coverage percentage, time-to-first-review, and comment acceptance rates. It is ideal for building organizational dashboards to maintain high code quality and optimize development workflows.

Guidelines for building Convex backends with TypeScript, detailing syntax, validators, schema design, queries, mutations, actions, scheduling, and file storage so you can implement Convex database operations, real-time updates, and cron jobs consistently.

The official SDK for building applications that programmatically interact with GitHub Copilot. It provides comprehensive features including session management, custom tool definition (function calling), real-time streaming, and lifecycle hooks. Supports multiple languages, including Node.js, Python, Go, and .NET, making AI integration seamless across your tech stack.

A comprehensive guide to utilizing a core, token-driven component library and design system patterns. It details best practices for managing UI styles—including spacing, color, and typography—by using semantic design tokens instead of hard-coded values. Ideal for building consistent, scalable, and maintainable user interfaces across different platforms.

A comprehensive pattern for building robust and cost-efficient LLM application pipelines. This guide details combining model routing based on task complexity, immutable cost tracking, limited retry logic, and prompt caching to manage API expenditures while maintaining high quality. Essential for production systems handling variable-complexity, high-volume tasks.

This skill provides a comprehensive guide to implementing the Command Query Responsibility Segregation (CQRS) pattern. It is crucial for separating read and write concerns, allowing independent scaling of read models, optimizing complex query performance, and building robust, event-sourced architectures when read and write data models differ.

Specializing in building high-performance, cloud-native applications using C# and the latest .NET 8+ framework. This skill covers end-to-end development, including building robust RESTful APIs (Minimal/Controller), implementing data access with Entity Framework Core, structuring code using CQRS/MediatR, and scaffolding Blazor components. Focuses on modern best practices like async/await, DTO mapping, and proper error handling.

This skill provides a comprehensive solution for implementing observability for Customer.io integrations. It covers setting up Prometheus metrics (latency, request counts, bounces), structured JSON logging with PII redaction, and OpenTelemetry tracing. Use it when building robust, production-grade monitoring dashboards and alerting systems for Customer.io APIs.