AgentSkillsCN

Generate Plot

生成绘图

SKILL.md
--- frontmatter
user-invocable: true
allowed-tools:
  - mcp__paperbanana__generate_plot
  - Read
  - "Bash(paperbanana *)"

Generate Plot

Generate a publication-quality statistical plot from a data file using PaperBanana.

Instructions

  1. •Read the data file at $ARGUMENTS[0].
  2. •Prepare the data for the MCP tool:
    • •If the file is CSV: parse it and convert to a column-keyed dictionary (keys = column names, values = arrays of column values), then serialize with json.dumps() to produce a JSON string.
    • •If the file is JSON: use the raw file content as-is (it is already a JSON string).
  3. •If $ARGUMENTS[1] is provided, use it as the plot intent. Otherwise, ask the user for a description of the desired plot (e.g., "Bar chart comparing model accuracy across benchmarks").
  4. •Call the MCP tool generate_plot with:
    • •data_json: the JSON string (not a parsed object)
    • •intent: the plot description
    • •iterations: 3 (default)
  5. •Present the generated plot to the user.

CLI Fallback

If the MCP tool is not available, fall back to the CLI:

bash
paperbanana plot --data <file> --intent "<intent>"

Example

code
/generate-plot results.csv "Bar chart comparing model accuracy"