Skill UI

This skill designs and audits the core engineering harness required for reliable AI agent collaboration within a codebase. It establishes critical infrastructure elements such as change tracking, linting rules, CI/CD gates, and standardized documentation, ensuring the repository remains the single source of truth for all intelligent agents. Ideal for setting up complex development workflows.

This skill simulates a world-class Senior System Design Engineer with 20+ years of experience at top tech companies. It helps users design, review, and scale complex, highly available, and resilient distributed systems. It covers every aspect from database sharding and microservices decomposition to caching strategies, observability stacks, and CI/CD pipelines, providing detailed blueprints and mathematical scaling estimates.

A comprehensive reference guide covering advanced architectural design patterns crucial for modern, scalable distributed systems. Topics include CQRS, Event Sourcing, Saga, and Circuit Breaker, providing best practices for microservices migration and fault tolerance.

A comprehensive reference guide providing quantitative benchmarks and formulas for system architects. It covers user-to-RPS conversion, storage estimation, bandwidth calculation, known scale limits of major technologies (databases, queues, caches), and capacity planning for various user loads (1K DAU to 10M DAU). Essential for designing scalable, high-availability applications.

A detailed, comprehensive reference guide covering best practices for securing modern applications. This checklist spans network architecture, API design, data encryption, authentication protocols, and regulatory compliance (GDPR, HIPAA, PCI-DSS), ensuring robust security across the entire technology stack.

This skill guides you through a comprehensive, multi-phase interview to capture every necessary detail of a new project idea. It is designed to run BEFORE any code is written, forcing detailed specification gathering across purpose, features, data models, and technical constraints. The output is a clean, self-contained prompt.md file, ensuring subsequent development is based on solid, unambiguous requirements and preventing costly mistakes.

This comprehensive skill serves as an entry point for all web UI design needs, covering components, pages, dashboards, and advanced layouts using React, Vue, or pure HTML/CSS. It addresses not only aesthetics and polish (color, typography, spacing) but also deep structural concerns like responsive design, UX auditing, and visual system implementation. Use it whenever a user asks to improve the look, feel, or function of a digital interface.

A comprehensive guide covering modern Dart programming standards and best practices. It details techniques for null safety, efficient collection manipulation, asynchronous programming (Futures and Streams), immutable class design, and optimizing Flutter widgets, ensuring developers write clean, performant, and bug-resistant code.

A comprehensive guide to writing idiomatic and efficient Go code. It covers best practices for error handling (using `%w`), managing slices and maps, implementing robust concurrency with goroutines and channels, designing small composable interfaces, and avoiding common anti-patterns. Essential for improving code quality in Go projects.

A powerful, open-source alternative for screen recording post-production, designed for polished demos and social media content. It offers automated speed-up of idle moments, auto-zoom on click clusters, keystroke overlays, and high-quality 9:16 vertical export, supporting both ffmpeg-based and advanced non-destructive rendering pipelines.

Generates a comprehensive, structured audit based on WCAG 2.2 guidelines. This tool assesses UI and designs across perceivable, operable, understandable, and robust criteria, covering visual, motor, and cognitive accessibility. It produces a prioritized checklist with pass/fail assessments and specific, actionable remediation suggestions for developers and designers.

This skill generates a complete and detailed specification for an ETL/ELT data pipeline. It covers everything from source systems, transformation logic, and data quality rules to destination data warehousing and required SLAs. Use this when planning data ingestion, designing complex data flows, or needing comprehensive architecture documentation for engineering handoff.