Skill UI

This guide details the Hexagonal Architecture (Ports and Adapters) pattern, a robust method for decoupling core business logic from external infrastructure concerns. It teaches how to structure applications to make the domain model independent of databases, UI frameworks, or message queues. Implementing this pattern drastically improves testability, maintainability, and the ability to swap out external services without rewriting business rules.

This guide provides comprehensive testing patterns for C# and .NET applications. It covers best practices using xUnit, FluentAssertions, and advanced techniques like mocking (NSubstitute/Moq), parameterized testing, and full integration testing using Testcontainers and WebApplicationFactory. Ideal for improving test quality, coverage, and developing robust, maintainable codebases.

A comprehensive set of specialized tools for deep interaction with source codebases. This context-mode is mandatory for advanced tasks such as running code snippets, analyzing files, batch processing repository commands, indexing knowledge, searching content, and fetching web data. It ensures that interactions are context-aware and highly efficient, moving beyond basic file listing or general chat prompts.

This skill provides a robust system for tracking all code modifications using structured JSON records and enforcing a defined state machine (e.g., planned -> deployed). It is critical for AI coding workflows, ensuring that if a session expires or is abandoned, the next session receives the full context, progress summary, and blockers to resume seamlessly. Ideal for complex, multi-stage development projects and onboarding new codebases.

This comprehensive guide outlines idiomatic and high-quality coding standards for Dart and Flutter. It covers best practices for naming conventions, type annotations, class structure, file organization, and documentation, ensuring developers write clean, readable, and maintainable Dart codebases.

Provides comprehensive guidelines on using Go's `context.Context` for managing request lifecycles. Learn how to correctly propagate cancellation signals, enforce deadlines, handle timeouts, and safely pass request-scoped values across API boundaries (HTTP handlers, services, databases). Essential reading for writing resilient and robust concurrent Go applications.

A comprehensive guide and toolset for Go code quality assurance using `golangci-lint`. It enables developers to run multiple linters in parallel, configure best practices via `.golangci.yml`, automate fixes, and interpret complex lint output. Ideal for maintaining code standards, setting up CI/CD pipelines, and cleaning up legacy codebases.

This skill automatically modernizes Go codebases by identifying and replacing outdated patterns, deprecated APIs, and non-idiomatic code. It conducts comprehensive scans across language features, standard library upgrades, testing patterns, and tooling (including running lint checks). It ensures the codebase adheres to the latest Go best practices, improving safety, correctness, and readability for modern Go versions.

This skill provides comprehensive operations for Feishu Base (Multi-Dimensional Table), serving as a powerful internal database management system. It supports all CRUD operations, including creating and updating tables, managing fields (including formulas and lookups), writing and reading records, setting up complex views, building dashboards, and automating workflows. Use this skill when dealing with multi-dimensional tables, Bitable links, or the Base environment.

A comprehensive tool for managing structured knowledge bases within Lark/Feishu. It allows users to create, list, and organize knowledge spaces, manage the hierarchy of document nodes, and handle membership administration. Ideal for professionals needing to structure, archive, or modify corporate knowledge documentation and collaboration structures.

This skill guides the creation and editing of Obsidian Bases (.base files). It enables users to build dynamic, database-like views of notes by applying complex filters (AND, OR, NOT), defining computed properties using formulas, and configuring multiple views (table, cards, list). Use this when you need to aggregate, filter, or summarize information across multiple notes in a structured way, simulating a lightweight, navigable knowledge database.

This comprehensive tool provides robust automation capabilities for Airtable using the Rube MCP framework. It allows users to perform full CRUD operations (Create, Read, Update, Delete) on records, bases, and tables. Key workflows include searching and filtering records using complex formulas, managing field schemas, and handling comments, significantly streamlining data management and workflow automation.