xby-generate-echarts
Run the following command in DeepSeek Harness:
dsh plugin install xby-skill/xby-generate-echarts
Paste the following prompt into your AI chat to install this plugin:
Run the command dsh plugin install xby-skill/xby-generate-echarts in DeepSeek Harness to install this plugin; the source repository is available at https://github.com/xby-skill/xby-generate-echarts .
About this plugin
In AI-assisted workflows, data analysis often stops at plain-text summaries, leaving users without a quick way to produce professional visualizations right inside the chat window. xby-generate-echarts bridges that gap by letting the model generate interactive Apache ECharts charts on demand, turning abstract numbers into instantly readable graphical insights.
The plugin covers 20+ chart types out of the box: line charts for time trends, bar charts for category comparisons, pie charts for proportions, radar charts for multi-dimensional scores, Sankey and funnel charts for conversion pipelines, heatmaps for density or correlation matrices, candlestick charts for financial OHLC data, plus box plots, network graphs, parallel coordinates, treemaps, sunbursts, gauges, scatter plots and more. Beyond the generic generate_echarts endpoint, every chart type has its own dedicated command for scene-specific calls, and MinIO object-storage integration lets generated charts be persisted and shared downstream.
It is built for data analysts, product managers, operations teams, and full-stack developers who need fast, in-conversation visuals without leaving the chat or writing front-end code. Describing your data in natural language is all it takes to get publication-quality charts, dramatically lowering the barrier to data visualization.
Use Cases
- Generate business KPI line or bar charts with a single natural-language prompt in chat
- Visualize user registration-to-purchase funnels and Sankey flows at a glance
- Produce candlestick and box-plot charts for stock or crypto price analysis on demand
Best For
- Data analysts and BI engineers who need fast, shareable charts
- Product managers and ops teams who want in-conversation data insights
- Full-stack developers who prefer natural-language charting over front-end code
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