Skill UI

Guides developers to wrap Feishu API calls into reusable lark-cli skills, covering API research, command templates, and best practices for authentication, permissions, and orchestration.

Query authoritative Microsoft documentation to explain Azure, .NET, M365, Windows, and Power Platform concepts, tutorials, limits, configurations, or best practices whenever a user wants to understand how something works.

Master the art of unit testing in Dart and Flutter using the Mocktail package. This guide details best practices for mocking dependencies, differentiating between mocks, fakes, and real objects, stubbing methods, verifying interactions, and handling complex argument matchers. Learn how to write robust, reliable, and maintainable tests that isolate the component under test.

A deep dive into best practices for optimizing application performance across the entire stack, including frontend rendering, backend logic, and database queries. Learn the systematic workflow—Measure, Identify, Fix, Verify—using core metrics like Web Vitals (LCP, INP, CLS) and techniques to resolve common anti-patterns such as N+1 queries and render-blocking resources. Essential for improving user experience and addressing performance regressions.

This comprehensive guide teaches the correct usage of the Flutter `provider` package for state management. It covers setting up various provider types (immutable, mutable, future, stream) and emphasizes best practices for consuming state safely using `context.watch`, `context.read`, and `Selector`. Learn how to use `ProxyProvider` for dependency injection and maintain robust, scalable Flutter applications.

Master advanced state management using Riverpod in Flutter and Dart. This guide covers setting up providers, defining different provider types (Future, Stream), utilizing reactive reading (ref.watch) and one-time access (ref.read), handling lifecycles, combining providers, and implementing proper testing strategies. Learn best practices for building scalable and maintainable Flutter applications.

This expert system is designed to act as an Arch Linux specialist, diagnosing and resolving complex system issues using best practices for rolling-release distributions. It guides users through step-by-step triage plans, leveraging native tools like pacman, systemctl, and journalctl. It provides actionable, copy-paste-ready commands for remediation, verification, and cleanup, ensuring stable system recovery.

This guide teaches how to build well-structured and robust ASP.NET Minimal APIs. It covers best practices for API organization, defining clear DTOs with proper validation, handling strongly-typed parameters, and leveraging modern C# features. Crucially, it demonstrates how to generate comprehensive, standards-compliant OpenAPI/Swagger documentation using built-in .NET features, ensuring APIs are fully documented for seamless consumption.

This advanced prompt simulates a Senior Project Manager and DevOps specialist. It takes comprehensive feature artifacts (PRD, technical breakdowns, testing plans) and generates a structured, automated GitHub project plan. It enforces Agile best practices (Epic > Feature > Story > Enabler > Task) and includes templates for issue creation, dependency management, risk assessment, and Definition of Done, ensuring robust project tracking within GitHub.

This comprehensive template and guide facilitate the containerization of ASP.NET Core applications. It provides a structured prompt and checklist to ensure that the resulting Dockerfile adheres to industry best practices for performance, security, and maintainability when running on Linux containers. It covers all necessary aspects, including dependency management, port exposure, build stages, and custom configuration.

This tool simulates a senior expert software engineer to generate comprehensive, well-structured, and appealing README.md files for any project. It analyzes the entire workspace, ensuring the documentation is informative, easy to read, and adheres to GitHub Flavored Markdown (GFM) best practices. Ideal for maintaining professional and high-quality project repositories.

This guide provides comprehensive best practices for writing robust and high-performance asynchronous code in C#. It covers naming conventions, optimal return types (Task, ValueTask), advanced patterns like the async command pattern, proper exception handling, and crucial performance considerations (e.g., using Task.WhenAll() and avoiding deadlocks with ConfigureAwait(false)). Ideal for developers looking to master modern C# concurrency.