publication-chart-skill

Automate research results into publication-grade figures and tables with pubfig/pubtab.

13|1|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/debug-zhuweijian/ai-research-toolkit --skill publication-chart-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: publication-chart-skill
Source: https://github.com/debug-zhuweijian/ai-research-toolkit/tree/main/modules/06-presentation/skills/publication-chart-skill
Command: npx skills add https://github.com/debug-zhuweijian/ai-research-toolkit --skill publication-chart-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines turning research results into publication-ready figures and tables, reducing manual formatting and plotting effort.

Core Features & Use Cases

  • End-to-end workflow for publishing figures (pubfig) and tables (pubtab).
  • Automatically selects chart/form types for benchmarks, ablations, calibration, and mixed deliverables, plus a QA-oriented revision path.
  • Provides a minimal runnable path and explicit export targets for manuscript-ready assets.

Quick Start

Create a publication-ready figure or table from your results with the default workflow using pubfig/pubtab.

Frequently Asked Questions about publication-chart-skill

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

FAQPage Schema
How do I generate publication-ready figures and tables from research results?

Publication-ready figures and tables are generated by automating the discovery-to-publication workflow via pubfig and pubtab commands. It selects chart forms for benchmarks and ablations, outputting explicit export targets for manuscript assets.

Can I create multi-panel outputs for benchmark figures and ablation tables?

Yes, you can create multi-panel outputs for benchmark figures and ablation tables. The Skill supports options for both single and multi-panel deliverables, automatically selecting the appropriate chart and form types for your research visualization needs.

What is the best way to format calibration plots and mixed deliverables for academic publication?

Formatting calibration plots and mixed deliverables involves using the Skill's QA-oriented revision path. It applies publication QA checks to ensure your research visualization meets manuscript standards for academic publication.

Does this Skill support engineering and data science workflows or only academic publication?

This Skill supports engineering and data science workflows alongside academic publication. It covers discovery-to-publication processes across these domains, handling benchmark figures, ablation tables, and calibration plots for manuscript-ready assets.

What chart and table types are automatically selected for research visualization deliverables?

For research visualization deliverables, chart and table types are automatically selected based on your data, covering benchmark figures, ablation tables, calibration plots, and mixed deliverables. The Skill ensures the chosen format fits your specific publication needs.