Skill UI

This skill details implementing Software Composition Analysis (SCA) using Snyk. It helps security teams detect known vulnerabilities, check license compliance, and automate dependency remediation within CI/CD pipelines. Learn to integrate scanning into GitHub, GitLab, and Jenkins workflows, generate automated fix PRs, and continuously monitor deployed applications to safeguard the software supply chain.

CCPM orchestrates software delivery from PRD through epics and GitHub issues into parallel agent execution, covering planning, decomposition, syncing, workstart, and status checks with mandated script-based reporting.

Automates the complex pre-development workflow for large-scale system transformations, such as major rewrites, migrations, or overhauls. This skill performs comprehensive project analysis, task decomposition, planning document generation, and sets up detailed progress tracking across multiple phases, ensuring a structured approach before any coding begins. It supports adaptive control and integrates robust task tracking via GitHub or local files.

Guides creation of persona-targeted VS Code CodeTour .tour files, covering repo exploration, intent inference, step composition, and validation so each narrative walkthrough is anchored to real files and tailored depth.

A comprehensive guide for building production-quality, highly accessible, and responsive user interfaces. Covers advanced topics including component architecture (composition over configuration), robust state management patterns (Context, Redux, Server State), adherence to design systems, and meeting WCAG accessibility standards. Use this skill when developing or refining complex user-facing components that require professional polish and maintainability.

Guides Go developers through struct/interface design best practices, covering interface segregation, composition, dependency injection, type assertions, and choosing pointer vs value receivers to keep APIs clear and testable.

A deep dive into handling typed content blocks (text, image, tool_use, thinking, document) in LangChain 1.0. This skill standardizes multi-modal message composition, tool-call iteration, and complex content handling across providers like Claude, GPT-4o, and Gemini, solving key API discrepancies.

This guide provides advanced patterns for composing robust, multi-step Large Language Model (LLM) workflows using LangChain 1.0 core runnables. Learn to implement parallel retrievals (RunnableParallel), conditional routing (RunnableBranch), and state management. It also addresses common pitfalls like silent KeyErrors due to mismatched dictionary shapes, providing solutions using debug probes and type annotations for reliable RAG, classification, and extraction pipelines.

This skill runs a comprehensive, sequenced pipeline (Patterns 1-5) to structurally analyze a monolithic codebase. It inventories components, detects domain duplication, resolves hierarchy issues, measures inter-module coupling, and groups components into candidate, domain-aligned services. It is essential for architects planning service extraction, providing actionable metrics and DDD insights before refactoring or splitting the application.

An advanced application framework for Go, combining a reflection-based Dependency Injection (DI) container with robust lifecycle management. It provides features like `fx.Module` for modular composition, signal-aware run loops (handling SIGINT/SIGTERM), and structured hooks (OnStart/OnStop). Ideal for building long-running services, such as daemons, HTTP servers, or workers, ensuring graceful startup and shutdown.

This skill guides developers on integrating CommunityToolkit.Mvvm ViewModels with Microsoft's Dependency Injection system. It covers setting up the composition root using the .NET Generic Host, managing service lifetimes (Singleton, Transient, Scoped), implementing constructor injection, and correctly registering messaging services (IMessenger) for robust, cross-platform XAML applications (WPF, MAUI, Uno, Avalonia).

This tool automatically converts design screenshots or visual exports into structured, functional Vue 3 Composition API components. It supports popular UI libraries like Vant, Element Plus, and Ant Design Vue. By batch converting screenshots, it streamlines the development process from raw design assets to reusable, production-ready code, significantly boosting frontend development efficiency.