「dataviz」の検索結果

agy(Google Antigravity CLI)の generate_image ツール(Gemini の画像生成、いわゆる Nano Banana)で画像を生成・編集する。ユーザーが「画像を作って」「イラスト」「挿絵」「図版」「アイキャッチ」「サムネイル」「アイコン」「スライド用の絵」「この画像の色を変えて」「この写真をもとに」など、ラスター画像(jpg/png)を新規生成または既存画像から編集・合成したいときは、明示的に agy や Gemini や Nano Banana と言われなくても必ずこのスキルを使う。SVG や Mermaid のような描画コード、グラフ・チャート(dataviz)、PPTX の図形は対象外。

Use this skill whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. When the destination is a first-party document connector (host-designated, never self-described) that renders live charts, hand it the rows (inline, or as an uploaded data file the chart cites) rather than a rendered PNG/SVG — a picture of a chart loses hover, data inspection and per-value comments. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: "chart", "graph", "plot", "data viz", "visualization", "dashboard", "analytics", "visualize data", "categorical colors", "sequential / diverging palette", "stat tile", "sparkline", "heatmap", "legend", "axis", "tooltip", "chart colors", "color by series".

日本語の概要は準備中です。原文の説明を表示しています。

Design guidance for charts, graphs, dashboards, maps, and data visualizations, including a local palette validator.

日本語の概要は準備中です。原文の説明を表示しています。

Add a chart (line, bar, area, pie, or scatter) to a dataset's showcase in a PortalJS portal. Installs recharts, writes a reusable Chart component, and renders it in the showcase Views section. Use when visualizing a dataset already registered in datasets.json.

日本語の概要は準備中です。原文の説明を表示しています。

Render a GeoJSON dataset on an interactive Leaflet map in the Views section of a dataset's showcase. Installs react-leaflet and a Map component, then renders the map for the chosen dataset. Use when a dataset's data is geographic and a map view is needed alongside the showcase's default metadata and download.

日本語の概要は準備中です。原文の説明を表示しています。

D3.js data visualization — selections, data joins, scales, axes, shapes, transitions, force layouts, geo projections, framework integration

日本語の概要は準備中です。原文の説明を表示しています。

Recharts composable chart components - LineChart, BarChart, AreaChart, PieChart, ComposedChart, responsive sizing, custom tooltips, animations

日本語の概要は準備中です。原文の説明を表示しています。