Results for “dataviz”

技術図・概念図・比較図・データ図の情報設計、生成、掲載サイズでの画像レビュー、修正を行う。図解・構成図の作成、図の可読性改善、既存図のレビューに使う。UI画面設計や装飾イラストは対象外。数値データを示すチャート・グラフは dataviz などの可視化手段を使う。

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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。

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Create charts and dashboards with a consistent approach to chart selection, color validation, labels, and interaction. Includes a palette checker and accessibility rules for readable visualizations in both light and dark modes.

• Choose a chart type that fits the data
• Validate chart colors for color vision differences
• Build charts for light and dark modes

Turn supplied data into a suitable chart, dashboard, or visual explanation. The workflow chooses readable ways to show comparisons, includes source and assumption notes, and checks axes, units, and missing values without inventing data or hiding uncertainty.

• Choosing a chart for a specific comparison
• Creating a dashboard from data
• Adding sources and assumptions to a visual explanation

Design charts, maps, and dashboards around the question readers need answered. Choose suitable chart forms, communicate findings through titles and labels, and check custom colors with a local palette validator to support clear visual distinctions.

• Choose a chart type for comparisons or trends
• Improve dashboard layout and number formatting
• Check a custom chart palette

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.

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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.

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

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

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Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.

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Keeps a fiction story bible and checks text against it. Trigger to build, extend or extract (from a manuscript) a story, lore or world bible; to check chapters, game strings or generated drafts for contradictions or timeline breaks; to track a world timeline with branches and who is alive, or chart it; to brief a local model from canon; for naming rules; to share canon across repos; or say lorescribe (bible, manuscript, check, timeline, names, brief, audit). Research is researchscribe's; line edits commscribe's; real-data charts dataviz's; art pixelsmith's; audio soundsmith's; model runs lmstudiorunner's or comfyrunner's; no prose drafting.

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Keeps brand definitions, several side by side, and turns one into a Claude Design System, DESIGN.md, VOICE.md or guide. Trigger to define a brand, palette, type or voice; turn a style guide or site into tokens; make, connect or sync a design system; audit for brand drift (off-palette colours, old names); pass or fail a page against a brand, or apply one to a README or generated output; critique or check a built UI, or a built site (dist/) for UI problems before it ships (hierarchy, spacing, states, generic look); or say brandscribe (setup, build, export, sync, audit, gate, ui). Microcopy and messages are commscribe's; React libraries design-sync's; charts dataviz's; canon lorescribe's; a pre-build brief, fit across widths and themes, and game UI uismith's; no logos.

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