Deer-flow chart-visualization

This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.

install
source · Clone the upstream repo
git clone https://github.com/bytedance/deer-flow
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/bytedance/deer-flow "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/public/chart-visualization" ~/.claude/skills/bytedance-deer-flow-chart-visualization && rm -rf "$T"
manifest: skills/public/chart-visualization/SKILL.md
source content

Chart Visualization Skill

This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.

Workflow

To visualize data, follow these steps:

1. Intelligent Chart Selection

Analyze the user's data features to determine the most appropriate chart type. Use the following guidelines (and consult

references/
for detailed specs):

  • Time Series: Use
    generate_line_chart
    (trends) or
    generate_area_chart
    (accumulated trends). Use
    generate_dual_axes_chart
    for two different scales.
  • Comparisons: Use
    generate_bar_chart
    (categorical) or
    generate_column_chart
    . Use
    generate_histogram_chart
    for frequency distributions.
  • Part-to-Whole: Use
    generate_pie_chart
    or
    generate_treemap_chart
    (hierarchical).
  • Relationships & Flow: Use
    generate_scatter_chart
    (correlation),
    generate_sankey_chart
    (flow), or
    generate_venn_chart
    (overlap).
  • Maps: Use
    generate_district_map
    (regions),
    generate_pin_map
    (points), or
    generate_path_map
    (routes).
  • Hierarchies & Trees: Use
    generate_organization_chart
    or
    generate_mind_map
    .
  • Specialized:
    • generate_radar_chart
      : Multi-dimensional comparison.
    • generate_funnel_chart
      : Process stages.
    • generate_liquid_chart
      : Percentage/Progress.
    • generate_word_cloud_chart
      : Text frequency.
    • generate_boxplot_chart
      or
      generate_violin_chart
      : Statistical distribution.
    • generate_network_graph
      : Complex node-edge relationships.
    • generate_fishbone_diagram
      : Cause-effect analysis.
    • generate_flow_diagram
      : Process flow.
    • generate_spreadsheet
      : Tabular data or pivot tables for structured data display and cross-tabulation.

2. Parameter Extraction

Once a chart type is selected, read the corresponding file in the

references/
directory (e.g.,
references/generate_line_chart.md
) to identify the required and optional fields. Extract the data from the user's input and map it to the expected
args
format.

3. Chart Generation

Invoke the

scripts/generate.js
script with a JSON payload.

Payload Format:

{
  "tool": "generate_chart_type_name",
  "args": {
    "data": [...],
    "title": "...",
    "theme": "...",
    "style": { ... }
  }
}

Execution Command:

node ./scripts/generate.js '<payload_json>'

4. Result Return

The script will output the URL of the generated chart image. Return the following to the user:

  • The image URL.
  • The complete
    args
    (specification) used for generation.

Reference Material

Detailed specifications for each chart type are located in the

references/
directory. Consult these files to ensure the
args
passed to the script match the expected schema.

License

This

SKILL.md
is provided by antvis/chart-visualization-skills. Licensed under the MIT License.