chart-visualization · Chart Generation

chart-visualization

Data visualization: turns data into standard statistical charts. Calls the AntV gpt-vis remote API with 25+ chart types (bar, line, pie, scatter, radar, Sankey, funnel, word cloud, flow diagrams, and more), returning a static image URL output directly as a Markdown image.

Chart selection follows the data: time series → line/area, comparisons → bar, composition → pie/treemap, relationships → scatter/Sankey. Theme, size, title, and hand-drawn texture are adjustable.

Example invocation: "Plot this monthly sales data as a line chart."

Full brief

Positioning

chart-visualization is the fast lane for "data → one standard statistical chart": it calls the AntV remote API and returns a static image URL. Single standard charts only — no infographics, no full-page reports.

Core capabilities

Workflow

  1. Analyze data characteristics and needs, pick the chart type
  2. Build a spec-compliant JSON request body (with type and source fields)
  3. curl the API, output the returned image URL

Inputs & outputs

Input Notes
Data Required — in the chosen chart type's data format
Chart type Optional — recommended from data characteristics when unspecified
Style params Optional — theme / size / title / texture

Output: static chart image URL (as a Markdown image).

Boundaries with adjacent skills

Skill Lane
chart-visualization (this) AntV remote API → static image URL of one standard chart
infographic Local JS rendering → infographics / animated GIF charts
data-report CSV/Excel/JSON → full-page visual report (KPI cards + charts + insights + tables)

Fit

Before you start


chart-visualization is part of the Aiglade Skill library. Invoke it from the Aiglade chat box in plain language.

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