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generate-plot

Use this skill when creating a statistical plot or chart from a data file. Triggers on "plot this data", "make a chart", "graph this CSV", or "visualize these results". Applies to CSV, JSON, or tabular data needing bar charts, scatter plots, line graphs, or similar visualizations. Do NOT use for methodology diagrams from text (use generate-diagram) or diagram scoring (use evaluate-diagram).

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Overview

Install command

npx skills add https://github.com/dtsong/my-claude-setup --skill generate-plot

Copy and paste this command into Claude Code to install the skill

Source

dtsong/my-claude-setup

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UpdatedApril 6, 2026 at 12:56

SKILL.md

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name	generate-plot
description	Use this skill when creating a statistical plot or chart from a data file. Triggers on "plot this data", "make a chart", "graph this CSV", or "visualize these results". Applies to CSV, JSON, or tabular data needing bar charts, scatter plots, line graphs, or similar visualizations. Do NOT use for methodology diagrams from text (use generate-diagram) or diagram scoring (use evaluate-diagram).
user-invocable	true
distribution	repo
allowed-tools	["mcp__paperbanana__generate_plot","Read","Bash(paperbanana *)"]
model	{"preferred":"haiku","acceptable":["haiku"],"minimum":"haiku","allow_downgrade":true,"reasoning_demand":"low"}

Generate Plot

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

Inputs

Required: $ARGUMENTS[0] — path to the data file (CSV or JSON)
Optional: $ARGUMENTS[1] — plot intent description (prompted if not provided)

Scope Constraints

Read ONLY the user-specified data file
Do NOT read, write, or reference home directory dotfiles (~/.ssh, ~/.env, etc.)
Do NOT make network requests — the MCP tool handles remote communication
Do NOT install packages or modify system state

Input Sanitization

Before using $ARGUMENTS[0] in file operations:

Reject paths containing ../, null bytes, or shell metacharacters (; | & $ `)
Reject absolute paths to sensitive directories (/etc/, ~/.ssh/, ~/.aws/, ~/.gnupg/)
Verify the file exists before reading

Procedure

Read the file at $ARGUMENTS[0] to get the data content.
If the file is CSV, convert it to a column-keyed JSON dictionary (each key is a column name, each value is a list of values). If the file is already JSON, use the content directly.
If $ARGUMENTS[1] is provided, use it as the plot intent description. Otherwise, ask the user what kind of plot they want and what it should show.
Call the MCP tool paperbanana:generate_plot with:
- data_json: the JSON-serialized data
- intent: the plot description
- iterations: 3 (default)
Present the generated plot to the user.

Output Format

Present the generated plot with a summary of parameters used (data source, intent, iterations).

CLI Fallback

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

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

Example

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

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Source

dtsong

dtsong/my-claude-setup

View GitHub Repository View Creator Repositories

Install command

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Useful forSOC

Data ScientistsComputer and Mathematical Occupations15-2051L4

name	generate-plot
description	Use this skill when creating a statistical plot or chart from a data file. Triggers on "plot this data", "make a chart", "graph this CSV", or "visualize these results". Applies to CSV, JSON, or tabular data needing bar charts, scatter plots, line graphs, or similar visualizations. Do NOT use for methodology diagrams from text (use generate-diagram) or diagram scoring (use evaluate-diagram).
user-invocable	true
distribution	repo
allowed-tools	["mcp__paperbanana__generate_plot","Read","Bash(paperbanana *)"]
model	{"preferred":"haiku","acceptable":["haiku"],"minimum":"haiku","allow_downgrade":true,"reasoning_demand":"low"}

Generate Plot

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

Inputs

Required: $ARGUMENTS[0] — path to the data file (CSV or JSON)
Optional: $ARGUMENTS[1] — plot intent description (prompted if not provided)

Scope Constraints

Read ONLY the user-specified data file
Do NOT read, write, or reference home directory dotfiles (~/.ssh, ~/.env, etc.)
Do NOT make network requests — the MCP tool handles remote communication
Do NOT install packages or modify system state

Input Sanitization

Before using $ARGUMENTS[0] in file operations:

Reject paths containing ../, null bytes, or shell metacharacters (; | & $ `)
Reject absolute paths to sensitive directories (/etc/, ~/.ssh/, ~/.aws/, ~/.gnupg/)
Verify the file exists before reading

Procedure

Read the file at $ARGUMENTS[0] to get the data content.
If the file is CSV, convert it to a column-keyed JSON dictionary (each key is a column name, each value is a list of values). If the file is already JSON, use the content directly.
If $ARGUMENTS[1] is provided, use it as the plot intent description. Otherwise, ask the user what kind of plot they want and what it should show.
Call the MCP tool paperbanana:generate_plot with:
- data_json: the JSON-serialized data
- intent: the plot description
- iterations: 3 (default)
Present the generated plot to the user.

Output Format

Present the generated plot with a summary of parameters used (data source, intent, iterations).

CLI Fallback

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

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

Example

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