Machine Learning

Fast Python framework for building interactive web apps, dashboards, and data visualizations without HTML/CSS/JavaScript. Use when user wants to create data apps, ML demos, dashboards, data exploration tools, or interactive visualizations. Transforms Python scripts into web apps in minutes with automatic UI updates.

Send beautifully formatted HTML digest emails summarizing open competitions, their status, and strategy. Supports dark mode, closing soon highlights, and multiple recipients.

当修改 internal/infrastructure/config/config.go 中的 Config 结构体、defaultConfig() 函数，或用户要求"同步配置"、"更新配置示例"时使用。保持 configs/config.example.yaml 与代码定义一致。

Create a new Claude Code skill following official specifications. Use when creating custom skills, adding skill documentation, or setting up skill directories. Covers YAML frontmatter, markdown structure, and best practices.

Analyzes existing project structure and design system, then provides contextually relevant UI/UX design options with visual descriptions. Helps users choose layouts, color schemes, component patterns, and interactions that integrate seamlessly with their current codebase. Activates for any UI, design, frontend, or visual-related development questions.

ML-based variable imputation for survey data - used in policyengine-us-data to fill missing values

Use this skill at the beginning of any session or when needing to understand available project documentation. Provides just-in-time context by scanning YAML frontmatter from all markdown files in the docs/ directory without loading full content.

Complete knowledge domain for Firecrawl v2 API - web scraping and crawling that converts websites into LLM-ready markdown or structured data.Use when: scraping websites, crawling entire sites, extracting web content, converting HTML to markdown, building web scrapers, handling dynamic JavaScript content, bypassing anti-bot protection, extracting structured data from web pages, or when encountering "content not loading", "JavaScript rendering issues", or "blocked by bot detection".Keywords: firecrawl, firecrawl api, web scraping, web crawler, scrape website, crawl website, extract content, html to markdown, site crawler, content extraction, web automation, firecrawl-py, firecrawl-js, llm ready data, structured data extraction, bot bypass, javascript rendering, scraping api, crawling api, map urls, batch scraping

Data classification strategies, tagging frameworks, sensitivity levels, and automated classification patterns for Unity Catalog.

独創的で本格的なフロントエンドインターフェースを高いデザイン品質で作成します。ユーザーがWebコンポーネント、ページ、アーティファクト、ポスター、またはアプリケーション（ウェブサイト、ランディングページ、ダッシュボード、Reactコンポーネント、HTML/CSSレイアウト、またはWeb UIのスタイリング/美化など）の構築を求めるときにこのスキルを使用します。一般的なAI美学を避け、創造的で洗練されたコードとUIデザインを生成します。

Write well-considered semantic HTML that serves all users. Use when creating components, page structures, or reviewing markup. Emphasizes native HTML elements over ARIA. Treats proper document structure and accessibility as foundations rather than afterthoughts.

pnpm workspace YAML configuration templates and validation logic for monorepo workspace patterns. Includes 5 required standards (architecture-specific patterns for consumer vs library repos, exact path matching, no missing directories, no extra patterns, alphabetical ordering). Critical distinction between consumer repos (specific paths like packages/contracts/*) and library repos (broad patterns like packages/*). Use when creating or auditing pnpm-workspace.yaml files.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

Transform functional outputs into professionally polished, design-elevated work through systematic application of typography, color, layout, and visual refinement. Use PROACTIVELY when creating presentations, dashboards, HTML interfaces, reports, or any visual content requiring professional polish.

Comprehensive Kargo GitOps continuous promotion platform skill. Use when implementing progressive delivery pipelines, promotion workflows, freight management, ArgoCD integration, warehouse configuration, stage pipelines, verification templates, or any Kargo-related tasks. Covers installation, core concepts, patterns, security, and complete YAML examples.

Create interactive, production-grade charts with D3.js. Use this skill when the user asks to build D3.js visualizations including scatter plots, pie/donut charts, bar charts, bar chart races, line charts, line chart races, heatmaps, treemaps, or any SVG-based data visualization. Covers animated entry transitions, keyframe animations, progressive line reveals, hierarchical layouts, sequential color scales, theme-aware color schemes (with custom Streamlit-inspired palettes), tooltips, legends, and responsive design. Generates polished, accessible code that avoids generic AI aesthetics.

Expert assistant for testing the embeddable Bible widget functionality in the KR92 Bible Voice project. Use when creating widget tests, validating embed API responses, testing reference formats, checking audio integration, or creating regression test cases.

Expert knowledge of Docker containerization including Dockerfile best practices, docker-compose configuration, Alpine Linux specifics, multi-stage builds, security, health checks, and container optimization. Use when working with Dockerfile, docker-compose.yml, container builds, debugging container issues, or deploying to container platforms.

Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python code.