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paper-figure

Generate publication-quality figures and LaTeX tables from JSON or CSV data files.

1|Updated Jul 21, 2026
Search Tags:#research#academic#visualization#plotting#latex#data-science
One-click install
npx skills add https://github.com/dogekiki/SP-test --skill paper-figure-dogekiki
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-figure
Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/paper-figure
Command: npx skills add https://github.com/dogekiki/SP-test --skill paper-figure-dogekiki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires matplotlib, json.

What problem does it solve?

This skill automates the creation of professional, publication-ready plots and tables from raw experiment data, ensuring consistency and adherence to academic standards.

Core Features & Use Cases

  • Automated Plotting: Generates line plots, bar charts, heatmaps, and box plots directly from JSON or CSV experiment logs.
  • LaTeX Table Generation: Automatically formats comparison tables for theory papers.
  • Quality Assurance: Includes a built-in review workflow using an AI model to verify figure clarity, caption accuracy, and data representation.

Quick Start

Use the paper-figure skill to generate all plots and tables defined in the current PAPER_PLAN.md file.

Frequently Asked Questions about paper-figure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate publication-quality figures from experimental data?▼

To generate publication-quality figures, this Skill automates plot creation from experimental data files, enforcing strict style guidelines, vector output formats, and reproducible script-based generation for academic workflows.

Can I automatically format LaTeX tables for academic research papers?▼

Yes, you can automatically format LaTeX tables for academic research papers by processing raw experiment data logs, ensuring proper comparison table structures for theory papers.

What visualization types are supported for academic data plotting?▼

Supported visualization types for academic data plotting include line plots, bar charts, heatmaps, and box plots, generated directly from JSON or CSV experiment logs.

Does matplotlib work with JSON data to create reproducible research plots?▼

Yes, matplotlib works with JSON data to create reproducible research plots by enforcing script-based generation, ensuring all visual assets are consistently recreated from experimental data inputs.

What is the best way to verify figure clarity and caption accuracy before publication?▼

The best way to verify figure clarity and caption accuracy is using the built-in AI review workflow, which checks data representation and visual clarity against strict academic standards.

Are there limitations when automating vector output formats for research visualizations?▼

Limitations when automating vector output formats for research visualizations include strict adherence to reproducible script-based generation, requiring properly structured JSON or CSV experimental data files to function correctly.

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