vega は何をしますか？
Vega-Lite（宣言型）とVega（プログラム型）を使用してデータ駆動型のチャートを作成します。数値データの統計的可視化に最適で、棒グラフ、折れ線グラフ、散布図、ヒートマップ、エリアチャート、レーダーチャート、ワードクラウドに対応しています。
Vega-Lite（宣言型）とVega（プログラム型）を使用してデータ駆動型のチャートを作成します。数値データの統計的可視化に最適で、棒グラフ、折れ線グラフ、散布図、ヒートマップ、エリアチャート、レーダーチャート、ワードクラウドに対応しています。
このスキルは、Vega-Lite（宣言的）およびVega（プログラム的）を使用してデータ駆動型のチャートを作成するためのものです。主に数値データの統計的可視化に特化しており、棒グラフ、折れ線グラフ、散布図、ヒートマップ、エリアチャート、レーダーチャート、ワードクラウドなど多彩なグラフをサポートします。Markdownビューア環境で動作し、記述された仕様に基づいてインタラクティブなチャートをレンダリングします。Vega-Liteは簡潔な文法で宣言的にグラフを定義でき、Vegaはより細かいカスタマイズが可能です。データの洞察を視覚的に伝えたい開発者やアナリストに有用です。
npx skills add https://github.com/markdown-viewer/skills/tree/main/skills/vegaInstalled? Explore more 画像 skills: steipete/songsee, affaan-m/frontend-design, mattpocock/improve-codebase-architecture · View all 6 →
Vega-Lite（宣言型）とVega（プログラム型）を使用してデータ駆動型のチャートを作成します。数値データの統計的可視化に最適で、棒グラフ、折れ線グラフ、散布図、ヒートマップ、エリアチャート、レーダーチャート、ワードクラウドに対応しています。
This repo contains 13 individual skills — each has its own dedicated page.
Create ArchiMate enterprise architecture diagrams using PlantUML stdlib macros. Best for TOGAF viewpoints, layered EA modeling (Business/Application/Technology), motivation analysis, and migration planning.
Create layered system architecture diagrams using HTML/CSS templates with color-coded tiers and grid layouts. Best for technology stacks, microservices topology, and multi-tier application design.
Create business process diagrams using PlantUML syntax with BPMN, EIP, and Lean Mapping stencil icons. Best for workflow automation, approval chains, message-based integration patterns, and value stream mapping.
Create spatial diagrams with free-positioned nodes using JSON format. Best for concept maps, knowledge graphs, and planning boards requiring precise x/y coordinate control.
Create cloud provider architecture diagrams using PlantUML syntax with official AWS, Azure, GCP, and Alibaba Cloud service icons. Best for multi-service cloud topologies and migration blueprints.
Create data pipeline and analytics architecture diagrams using PlantUML syntax with database/analytics stencil icons. Best for ETL pipelines, data lakes, real-time streaming, data warehousing, and BI dashboard design.
Create directed/undirected graphs using DOT language with automatic layout. Best for dependency trees, call graphs, package hierarchies, and module relationships requiring fine-grained edge routing.
Create editorial-style information cards using HTML/CSS in Markdown. Best for knowledge summaries, data highlights, event announcements, and single-topic content cards with magazine-quality typography.
Create IoT architecture diagrams using PlantUML syntax with device and sensor stencil icons. Best for smart home, industrial IoT (IIoT), fleet management, edge computing, and sensor network layouts.
Create hierarchical mind maps using PlantUML @startmindmap syntax. Best for brainstorming, topic decomposition, study notes, and decision trees with automatic radial layout, left/right branches, and per-node styling.
Create network topology diagrams using PlantUML syntax with mxgraph device icons (Cisco, Citrix, etc.). Best for LAN/WAN layouts, datacenter interconnects, and physical/logical network design.
Create security architecture diagrams using PlantUML syntax with identity, encryption, firewall, and compliance stencil icons. Best for IAM flows, zero-trust models, encryption pipelines, and threat detection architectures.
Create UML diagrams using PlantUML syntax. Best for software modeling — Class, Sequence, Activity, State Machine, Component, Use Case, and Deployment diagrams with concise text-based notation and auto-layout.
Generate spectrograms and feature-panel visualizations from audio with the songsee CLI.
Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.
Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
Add documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured.
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.