本文へ移動
cccskills
無料GitHub で公開

design-chart-recipes

Author and validate nvoos-chart fenced-JSON chart blocks for NV oOS chat surfaces — 29 chart types across distribution, part-to-whole, ranking, change, special and grid families. Covers type selection, the v2 schema (values/series/data.items, mode, sort, direction, unit, animate, table, target), data-shape rules, the create_chart_fence server validator, the a11y checklist, and copy-paste JSON templates. Use when writing chart fences in assistant responses, choosing a chart type for data, validating chart JSON, or deciding between nvoos-chart, create_chart, generate_chart and generate_mermaid.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md7.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Chart Recipes (nvoos-chart)

Use this skill whenever an assistant message should show data as a chart. The nvoos-chart fence renders everywhere the built-in renderer exists (base chat, chat SPA, Pro SPA) — pure HTML/CSS, no iframe, no CDN.

```nvoos-chart
{ "type": "bar", "title": "Weekly sales", "labels": ["Mon","Tue","Wed"], "values": [12, 19, 8] }

## When to use which tool

| Need | Use |
|---|---|
| Inline, themeable, deterministic chart in chat markdown | `nvoos-chart` fence (this skill) |
| Server-validated fence + plain-text fallback table | `create_chart_fence` tool |
| Interactive Chart.js (tooltips, zoom, canvas) | `create_chart` / `create_chart_validated` |
| Rendered chart image (PNG) | `generate_chart` |
| Flow diagrams, architecture, sequences | `generate_mermaid` (do NOT abuse chart types for diagrams) |
| Infographic composition | markdown headers + `grid` + `waterfall`/`bullet` — not a new fence |

## Chart type selection — which type answers which question

**Distribution family** (shape of the data)
- `histogram` — "how is this distributed?" (binned bars, one series)
- `box` — five-number summary (min/Q1/median/Q3/max) per group
- `strip` / `dot` — raw points along an axis (jittered by row)
- `stem` — magnitude vs index with stems
- `violin` — full density shape per series (KDE, ≤100 points per series)

**Part-to-whole family**
- `donut` — 2–6 slices, total in the hole, legend with values
- `pie` — same but full circle; prefer donut for readability
- `waffle` — small counts as unit cells (≤400 cells, 10-col grid)
- `unit` — icon-style single-value cells (≤60 cells)

**Ranking family** (horizontal comparisons)
- `bar` — horizontal bars, left-anchored for non-negative data
- `lollipop` — same data, cleaner look with many rows
- `diverging` — positive/negative around a center axis
- `race` — animated re-sort over `series` frames (`animate: "race"`)

**Change / time family**
- `line` / `area` — trends over `labels`
- `column` — grouped/stacked vertical bars (`mode`)
- `slope` — before/after pairs (two series, rotated connectors)
- `dumbbell` — start/end range per row (two series)
- `waterfall` — cumulative build-up/break-down (first series = base)
- `candlestick` — OHLC from `[open, high, low, close]` per row
- `gantt` — `[start, end]` spans per named series
- `sparkline` — word-space trend, no axes

**Special family**
- `heatmap` — matrix with row labels + series columns
- `bullet` — value vs `target` (qualitative bands)
- `pyramid` — descending centered bars (population-style)
- `radial` / `dial` — single-value gauge (`values: [x]`, optional `max`)

**Grid small multiples**
- `grid` — `charts: [ …specs… ]`, ≤12 cells, shared context

## Data-shape rules (must follow or the chart falls back to a code block)

- `values: [1,4]` → one unnamed series. `series: [{name, values, color?}]` → multiple (≤12).
- `data: {items: [{label, value} | {label, values}]}` → named rows; `{label, value}` rows are
  coerced into ONE series + `labels` (donut/pie pattern).
- Labels ≤40 (heatmap rows ≤20), points ≤120 per series, strings ≤60 chars, title ≤120.
- Non-finite values (`NaN`, `Infinity`, `"abc"`) are dropped; numeric strings are coerced.
- Negative bar/column data switches the baseline to the center; each side scales to its own max.
- Colors: `#hex`, `rgb()`, `hsl()` only — anything else is stripped (never escaped into the DOM).
- ≤6 series for readability; ≤7 labels on bar/column; sort with `sort: "desc"` for rankings.

## v2 schema keys (all optional, all backward compatible)

| Key | Values | Effect |
|---|---|---|
| `mode` | `grouped` (default) \| `stacked` \| `100` | bar/column series layout |
| `direction` | `horizontal` \| `vertical` | bar/column axis |
| `sort` | `asc` \| `desc` | row order by value |
| `unit` | string ≤60 | appended to value labels |
| `animate` | `true` \| `"race"` | CSS entry animation / race replay |
| `table` | `true` (default) \| `false` | collapsed `<details>` data table (SC 1.1.1) |
| `target` | number | bullet chart target line |
| `caption` | string | chart caption |

## Accessibility checklist

- Always include `title` (becomes `aria-label`) or rely on the type label.
- Keep the auto data `table` unless `table: false` (screen-reader alternative).
- Colors must be distinguishable in both light/dark themes; prefer the default palette.
- Animations respect `prefers-reduced-motion` automatically — never rely on motion alone.
- No raw HTML in labels/titles: text is escaped by construction.

## Copy-paste templates

Trend:
```json
{ "type": "line", "title": "Sessions", "labels": ["Jan","Feb","Mar"], "values": [1200, 1450, 1620], "unit": "k" }

Ranking:

{ "type": "bar", "title": "Top pages", "labels": ["/home","/pricing","/blog"], "values": [45, 28, 19], "sort": "desc" }

Composition:

{ "type": "donut", "title": "Traffic mix", "data": { "items": [ { "label": "Organic", "value": 62 }, { "label": "Paid", "value": 24 }, { "label": "Direct", "value": 14 } ] } }

Comparison:

{ "type": "column", "title": "Q1 vs Q2", "labels": ["Jan","Feb","Mar"], "series": [ { "name": "Q1", "values": [3, 4, 5] }, { "name": "Q2", "values": [4, 5, 6] } ], "mode": "grouped" }

Distribution:

{ "type": "histogram", "title": "Order value", "values": [12, 18, 22, 23, 25, 31, 42, 55] }

Before/after:

{ "type": "slope", "title": "Conversion", "labels": ["A","B","C"], "series": [ { "name": "Before", "values": [2.1, 3.0, 2.6] }, { "name": "After", "values": [2.8, 3.4, 3.9] } ] }

Gauge:

{ "type": "dial", "title": "Health score", "values": [78], "max": 100 }

Small multiples:

{ "type": "grid", "title": "Weekly per channel", "charts": [ { "type": "line", "title": "Email", "values": [1,2,3] }, { "type": "line", "title": "Social", "values": [2,1,4] } ] }

Server validation

Use the create_chart_fence tool when the fence must be validated before it reaches the client: it mirrors the client schema (same whitelist, caps, color regex), returns the normalised fence plus a pipe-table fallback, and fails with a WP_Error instead of guessing. In standalone PHP contexts, the tool is at includes/tools/class-wp-mcp-ai-tool-create-chart-fence.php; the client rules live in assets/js/chat-chart-recipes.js, addons/chat-spa/src/api/chartRecipes.ts and addons/pro/assets/spa-v2/src/components/shared/chartRecipes.ts (keep all four in sync).

Test fixtures

Shared conformance cases live in addons/pro/assets/spa-v2/src/__tests__/chart-fixtures.json (canonical), mirrored at addons/chat-spa/src/__tests__/chart-fixtures.json and tests/js/chart-fixtures.json. When changing schema behavior, add a fixture case and update all three copies byte-identically.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月13日 更新

Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月13日 更新

Control a headless browser to navigate URLs, click elements, fill forms, extract content from JavaScript-rendered pages, take screenshots, and automate end-to-end web workflows.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月13日 更新

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月13日 更新

Review code for quality, simplicity, and maintainability. Identifies unnecessary abstractions, duplicated logic, oversized functions, missing error handling, and naming issues — then fixes them automatically before presenting the result.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月13日 更新

WooCommerce store operations through NV oOS Pro — product research, catalog cross-referencing, inventory lookups, and Shopify or Flowhub comparisons where integrations are configured.

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。

nvdigitalsolutions/mcp-ai-wpoos72026年10月13日 更新

nvdigitalsolutions のスキルをすべて見る

このスキルの問題を報告する