Skill UI

A comprehensive guide to structuring robust Flutter applications using industry-standard layered architecture (UI, Domain, Data). It details patterns like MVVM, Repository pattern, and Use Cases, ensuring clean separation of concerns, manageable state flow (unidirectional data flow), and testability. Ideal for scaffolding new, large-scale projects or refactoring legacy codebases.

Guides building production-ready user interfaces with thoughtful component architecture, consistent spacing, typography, color, and accessibility standards while avoiding generic AI aesthetics and over-configured patterns.

This comprehensive guide covers Dependency Injection (DI) patterns specifically for Golang. It explains why DI is crucial for building testable, loosely coupled, and maintainable services. The skill compares manual constructor injection for small projects with advanced DI libraries (like google/wire, uber-go/dig) for complex architectures, focusing on best practices such as interface-based design and managing service lifecycles.

A type-safe dependency injection toolkit for Go, enabling robust and maintainable application architecture. It manages service containers, handling service lifecycles (Lazy, Eager, Transient), scoped services, and dependency resolution. Ideal for refactoring manual constructor injection into a structured DI system in Go projects.

A powerful tool for managing whiteboard content embedded in Lark cloud documents. It allows users to query the board, exporting content as a preview image, retrieving raw node structures, or updating the board using various formats (Mermaid, PlantUML). Ideal for generating, viewing, or modifying complex diagrams like architecture diagrams and flowcharts.

Showcases Django project layout, ORM/query tuning, DRF serializer validation, signal usage, middleware timing and anti-patterns to keep apps maintainable and performant.

This advanced prompt acts as a structured guide for generating comprehensive, enterprise-grade technical implementation plans. It forces the detailed breakdown of a feature based on a PRD, covering system architecture (Mermaid diagrams), database schema design, API specifications, frontend component hierarchy, and deployment strategies, all while adhering to a monorepo structure. Ideal for large-scale SaaS development.

This guide provides a detailed template and directive for generating machine-readable, deterministic implementation plans. It is designed for complex software development tasks, such as adding new features, refactoring existing code, or designing system architecture. The output ensures that all steps are atomic, measurable, and structured for autonomous execution by AI agents or human teams, minimizing ambiguity and dependency.

A comprehensive methodology guiding technical professionals through the design process before coding. It helps structure complex features by producing detailed design documents, including system overviews, data models, API specifications, multiple trade-off analyses, and implementation plans, ensuring robustness and clarity from the start.

A comprehensive code review tool designed for C#/.NET projects. It evaluates the implementation of key design patterns (Command, Factory, Repository) and adherence to SOLID principles. The review covers architecture, best practices (async/await, logging), security, testability, and clean code principles, providing actionable recommendations for improvement.

A comprehensive framework for structuring meetings, defining metric reporting, and managing decision-making velocity in rapidly scaling companies. It addresses common growth pains like misalignment, ineffective leadership meetings, and slow planning cycles by establishing a five-level meeting architecture and weekly health dashboards. Ideal for companies transitioning from startup to enterprise stage.

A comprehensive guide to creating production-grade Product Requirements Documents (PRDs). This skill helps bridge the gap between vague business concepts and concrete technical specifications for modern software systems and AI features. It enforces a structured workflow, ensuring all necessary components—from user stories and success KPIs to technical architecture and risk analysis—are defined.