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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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Aperçu

Commande d'installation

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

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Source

dtsong/my-claude-setup

Étoiles5

Forks0

Mis à jour6 avril 2026 à 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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dtsong/my-claude-setup

Use this skill when scoring or comparing a generated diagram against a human reference. Triggers on "score this diagram", "evaluate my diagram", "compare to reference", or "how accurate is this". Applies when both a generated diagram and a reference image exist and quality assessment is needed. Do NOT use for creating new diagrams (use generate-diagram) or plotting data (use generate-plot).

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generate-diagram

dtsong/my-claude-setup

Use this skill when creating a methodology diagram from research text. Triggers on "make a diagram", "visualize this methodology", "diagram this process", or "generate a figure from this paper". Applies to methodology descriptions, process flows, and research paper sections. Do NOT use for scoring existing diagrams (use evaluate-diagram) or plotting data from CSV/JSON (use generate-plot).

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dtsong/my-claude-setup

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Use when auditing accessibility compliance of a feature or codebase. Covers WCAG 2.2 AA conformance, screen reader compatibility, keyboard navigation, focus management, color contrast, reduced motion, and ARIA usage. Do not use for general UX review (use journey-mapping) or component interaction specs (use interaction-design).

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Source

dtsong

dtsong/my-claude-setup

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Commande d'installation

Téléchargement

Exécuter dans Manus

Utile pourSOC

Scientifiques des donnéesProfessions informatiques et mathématiques15-2051L4

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"