--- name: chart version: 3.0.1 description: Interactive web-based charts for data analysis and business intelligence. Project-based output in output/chart-html// with HTML + script + data + screenshot. metadata: starchild: emoji: "📊" skillKey: chart user-invocable: true disable-model-invocation: false --- # Chart — Project-Based Interactive Charting Generate interactive chart pages with Apache ECharts. Each chart lives in a dedicated project folder under `output/chart-html/`, making it easy to reuse and iterate. ## When to Use Any time the user wants a visual chart: price charts, comparisons, dashboards, business analytics, etc. ## Architecture - **ECharts** (CDN) for rendering - **ECharts native export (`getDataURL`) + canvas merge** for reliable PNG output - **Project-based storage**: one folder per chart project - **No gallery mode**: all artifacts stay in the project folder ## Project Structure (Required) Each chart project should follow: ``` output/chart-html/ / index.html # chart page generate.py # generation script (for reproducibility) README.md # title / description / data source notes data.json # data snapshot screenshot.png # saved image ``` Example folder name: `btc-90d-20260401` ## Workflow ### Step 1: Pick template or custom layout Available templates: | Template | Best for | |---|---| | `line.html` | Time-series trends, multi-series comparisons | | `bar.html` | Category comparisons, rankings | | `pie.html` | Composition / share breakdown | | `candlestick.html` | OHLCV price charts | | `scatter.html` | Correlation, distribution | | `dashboard.html` | KPI cards + 2×2 multi-chart grid | | `radar.html` | Multi-dimension scoring | | `heatmap.html` | Matrix / calendar intensity | | `dual-axis.html` | Two series with very different scales (e.g. market cap vs stablecoin supply) — left and right Y axes, each with its own label color | | `multi-panel.html` | Stacked panels sharing one X axis (e.g. price + volume + RSI) — single ECharts instance, tooltip/zoom synced across all panels | | `waterfall.html` | Incremental contribution breakdown (e.g. P&L attribution, budget variance) — positive/negative bars stacked on a floating base | ### Step 2: Create project folder Use `create_project(name, description, data_sources)` from `scripts/build_chart.py`. ### Step 3: Build and save chart page Use either: - `build_chart(template_name, ...)` - `build_chart_custom(...)` Then save as `index.html` in the project folder: - `save_chart(html, project_dir=project_dir)` ### Step 4: Save reproducible assets Also save: - `save_generate_script(script_content, project_dir)` → `generate.py` - `save_data(data, project_dir)` → `data.json` - project README is created by `create_project(...)` ### Step 5: Serve preview Use project-root serving (recommended): ```python preview_serve( title="Chart Preview", dir="skills/chart/scripts", command="python3 chart_server.py /data/workspace/output/chart-html 7860", port=7860 ) ``` Then open: `/preview///index.html` Important behavior in v3.0.1: - `chart_server.py` now rewrites preview-prefixed static paths internally (`/preview//...` → `/...`) before filesystem lookup. - This guarantees the preview iframe resolves the real project `index.html` instead of falling back to root directory listing. - Keep project pages under `output/chart-html//index.html` (do not serve `output/chart-html` directly as a static preview without `chart_server.py`). ### Step 6: Export image Two modes: 1. **User wants web page + image**: click "💾 Save Image" in page toolbar, saves to current project as `screenshot.png` 2. **User wants image only**: call `screenshot_chart(project_dir)` (Playwright) and send `screenshot.png` directly ## Toolbar Requirements Every chart page must include these buttons: ```html
``` Do not include gallery entry. ## Key Files | File | Purpose | |------|---------| | `skills/chart/scripts/base-styles.css` | Base dark theme CSS | | `skills/chart/scripts/base-export.js` | Export helpers: download/copy/save-to-project | | `skills/chart/scripts/build_chart.py` | Project creation, HTML build, data/script save, screenshot | | `skills/chart/scripts/chart_server.py` | Static server + `/save-chart` API | | `skills/chart/templates/*.html` | Reusable chart templates | | `output/chart-html//*` | All generated chart artifacts | ## Notes - Embed data directly in HTML (`const DATA = ...`) to avoid iframe CORS issues. - For multi-chart pages, register all chart instances in `window.CHART_INSTANCES`. - Use meaningful project names (`topic-range-date`) for easy lookup.