Machine Learning

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.

Comprehensive guide for conda-forge recipe development. Handles legacy (meta.yaml)and modern (recipe.yaml) formats, linting, CI troubleshooting, and feedstock maintenance.Enhanced with patterns from real conda-forge feedstocks (2025).USE THIS SKILL WHEN: creating conda recipes, packaging Python/Rust/Go/C++ software,fixing conda-forge build failures, updating feedstocks, migrating to recipe.yaml format,setting up private channels, or troubleshooting conda-forge CI.

How to create Claude Code skill documents with YAML frontmatter, instructions, examples, and reference material

Эксперт active learning. Используй для ML с участием человека, uncertainty sampling, annotation workflows и labeling optimization.

Comprehensive code documentation standards and guidelines for maintaining up-to-date documentation across Python, HTML, CSS, and JavaScript codebases. Use when creating or modifying code to ensure proper documentation practices and maintainable code.

Discovers available robot actions by reading action_library.yaml. Returns action catalog with parameters and constraints for BT generation and validation.

Generate a verifiable GitHub Wrapped year-in-review as a single-file HTML (raw gh API JSON saved, Python-built dataset embedded), with a Bilibili-style narrative, smooth transitions, and mobile-friendly paged mode. Requires gh CLI to be authenticated.

Master model deployment, versioning, and production ML systems.

Creates comprehensive ServiceNow change request documentation when users request CR creation, need to generate change requests, ask to prepare deployment documentation, or mention creating release documentation. Automatically analyzes git history, queries functional requirements from BigQuery, generates technical change summaries, and creates properly formatted YAML files for L'Oréal BTDP deployments.

UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.

This skill should be used when creating new test lanes for the XML test data generator. A test lane consists of an XSD schema file paired with a meta.yaml configuration file. This skill guides the process of creating both files with proper semantic type mappings, distribution settings, and field overrides. Use when users request new test lanes, want to generate test data configurations, or need help setting up XSD + meta.yaml pairs for the testgen CLI tool.

Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions

Work with the NNT (Nakul Notation Tool) compiler - parse music notation shorthand, query musical structures, and export to MusicXML, ABC, and other formats for PhD research and educational content

Expert guidance on machine learning and feature engineering for fantasy football player projection models. Use this skill when building predictive models, engineering features from player statistics, selecting appropriate ML algorithms, or addressing sports-specific ML challenges. Covers feature engineering patterns, model selection frameworks, validation strategies, and interpretability techniques for fantasy football analytics.

Create or extend Python command-line interfaces using Typer and wire them into pyproject.toml entry points. Use when asked to add a new CLI, add a subcommand, or expose a console script for a Python package, especially when pyproject.toml needs [project.scripts] updates or an empty directory needs full project initialization.

Expert knowledge of WAI-ARIA (Accessible Rich Internet Applications). Use when users ask about ARIA roles, states, properties, accessible name computation, ARIA attributes (aria-label, aria-labelledby, aria-describedby, etc.), widget roles, landmark roles, live regions, ARIA best practices, or how to implement accessible interactive components. Also use for questions about ARIA specifications, API mappings (core-aam, html-aam), digital publishing ARIA (dpub-aria), graphics ARIA, or any ARIA implementation questions.

Use this skill when creating or updating Bigeye monitoring configurations (bigconfig.yml files) for BigQuery tables. Works with metadata-manager skill.

Define and evolve WPF XAML styling for the widget host app: control styles, templates, visual states, typography, and theme variants. Use when working in `App.xaml`, theme dictionaries, `Styles/*.xaml`, or control templates to achieve the Fluent-inspired design system with Light/Dark themes.