Machine Learning

Machine learning, deep learning, neural networks, and AI systems. Master algorithms, model training, and production ML systems.

Use when you need the WLILO look (White Leather + Industrial Luxury Obsidian) across HTML, SVG, and jsgui3. Covers token schema, palette, and how to write back design learnings so other agents reuse them. Triggers: wlilo, white leather, industrial luxury, obsidian, design system, palette, theme tokens, diagram styling.

AI-powered enterprise web application testing orchestrator with Context7 integration, intelligent test generation, visual regression testing, cross-browser coordination, and automated QA workflows for modern web applications

Complete setup for AMD Strix Halo (Ryzen AI MAX+ 395) PyTorch environments. Handles ROCm installation verification, PyTorch community builds (official wheels don't work with gfx1151), GTT memory configuration, and environment setup. Creates ready-to-use ML workspaces for running 30B parameter models.

This skill should be used when enhancing FHIR meeting minutes by synthesizing transcript discussion into Confluence pages, capturing reasoning and trade-offs with XML DOM manipulation

AI-powered enterprise MCP (Model Context Protocol) server orchestrator with intelligent plugin management, predictive optimization, ML-based performance analysis, and Context7-enhanced integration patterns. Use when creating smart MCP systems, implementing AI-driven plugin discovery, optimizing MCP performance with machine learning, or building enterprise-grade server architecture with automated compliance and governance.

Génère plans d'affaires HTML professionnels avec graphiques Plotly interactifs.

Expert en développement front-end moderne - HTML, CSS, JavaScript, TypeScript, frameworks, testing, performance et tooling

Visual regression for canvas-rendered matrix progressions. Tests filmstrip strips that show how 2D data evolves visually over time. Auto-apply when editing *Progressions.ts strip definitions or stories with filmstrip components.

Ubuntu server configuration via cloud-init and systemd. Use when writing cloud-init YAML, configuring systemd services, setting up nginx, or troubleshooting VM configuration issues.

Transform scattered organizational data into polished, governance-ready board meeting packets with multi-format outputs (DOCX, PDF, HTML dashboards). Automatically coordinates with design-director for professional visual polish on all deliverables.

현대적인 프런트엔드 웹 기술(React, Tailwind CSS, shadcn/ui)을 사용하여 정교한 다중 컴포넌트 claude.ai용 HTML artifact를 제작하기 위한 툴킷입니다. 상태 관리, 라우팅 또는 shadcn/ui 컴포넌트가 필요한 복잡한 artifact에 사용하세요. 단순한 단일 파일 HTML/JSX artifact용이 아닙니다.

Create web pages and UI components using the Rustic Food design system—a warm, organic aesthetic inspired by farm-to-table restaurants, artisanal bakeries, and food blogs. Features appetizing color palettes (warm oranges, creams, sage greens), natural textures, serif/script typography, and inviting imagery. Use when the user requests rustic/organic/farm-to-table styling, food website design, restaurant pages, recipe cards, menu layouts, or any food-related web content. Framework-agnostic (works with vanilla HTML/CSS, React, Vue, Tailwind, etc.).

Skill 模板（中文增强版）：演示如何编写自定义 Skill（YAML frontmatter + SKILL.md 主体 + scripts/reference 资源），用于学习 Progressive Disclosure 的工作方式。

Generate GitLab CI/CD pipeline configuration files with stages, jobs, and deployment. Triggers on "create gitlab ci", "generate gitlab-ci.yml", "gitlab pipeline", "gitlab ci config".

Design, visualize, and document database schemas with ERD generation, normalization guidance (1NF-BCNF), relationship mapping, and automated documentation. Create efficient database structures, generate SQL statements, produce interactive HTML docs, and maintain data dictionaries. Use for schema design, database modeling, ERD diagrams, normalization, and documentation generation.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, Blazor pages/components, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.

目的を持ったモデリングの専門知識を提供。概念・仕様・実装の3つの視点を区別してUML図を生成する際に使用。ドメインモデル設計、クラス図作成、要件分析、モデリング成果物の目的分類が必要な場合にこのスキルを参照。

Convert data between formats (JSON, XML, CSV, YAML, TOML). Use when transforming data structures or migrating between data formats.

Azure DevOps Wiki management skill. Use when working with Azure DevOps wikis for: (1) Creating and organizing wiki pages - provisioned or code-as-wiki, (2) Markdown formatting - TOC, Mermaid diagrams, YAML metadata, code blocks, (3) Wiki structure - .order files, subpages, attachments, (4) Best practices - naming conventions, navigation, searchability, (5) CLI operations - az devops wiki commands, (6) Git-based wiki workflows - clone, edit offline, push changes. Supports both provisioned wikis and published code wikis.