figure-design-and-captioning

Generate manuscript figures and captions from computational data and scripts.

13|1|Updated Nov 27, 2025
One-click install
npx skills add https://github.com/q734738781/CatMaster --skill figure-design-and-captioning
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: figure-design-and-captioning
Source: https://github.com/q734738781/CatMaster/tree/main/writing_skills/figure-design-and-captioning
Command: npx skills add https://github.com/q734738781/CatMaster --skill figure-design-and-captioning

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers and manuscript writers convert computational outputs and structural data into evidence-carrying figures and concise captions with explicit provenance so figures reliably support claims.

Core Features & Use Cases

  • Plan figure intent and identify the minimal artifacts and data needed to support a specific claim, avoiding speculative or unsupported visuals.
  • Produce conceptual schematics, rendered structure views, comparison plots, and summary tables while preserving script paths and source references for reproducibility.
  • Use Case: prepare a multi-panel figure comparing computed adsorption energies and render atomic structures with a caption that states conditions, key observations, and regeneration instructions.

Quick Start

Create a figure that demonstrates the claim "adsorption energy decreases with dopant concentration" using the computed data and provide the figure path, script path, source references, and a draft caption.

Frequently Asked Questions about figure-design-and-captioning

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

FAQPage Schema
How do I create reproducible scientific figures with concise captions from computational data?

To create reproducible scientific figures, use rendering scripts or image-generation prompts along with explicit source references. This approach generates manuscript-quality visuals and draft captions while preserving script paths to ensure full reproducibility of the computational outputs.

What is the best way to write figure captions tied to computational data and scripts?

Writing figure captions tied to computational data requires stating conditions, key observations, and regeneration instructions. A strong caption draft links directly to the rendering scripts and source references so the visual evidence reliably supports the manuscript's claims.

How do I plan a multi-panel comparison plot for a research manuscript?

Planning a multi-panel comparison plot starts by identifying the minimal artifacts and data needed to support a specific claim. You then produce rendered structure views and comparison plots while preserving script paths and source references for reproducibility.

Do I need reproducible rendering scripts to generate manuscript-quality figures?

Yes, generating manuscript-quality figures requires reproducible rendering scripts or image-generation prompts. Explicit source references and an output path must accompany the visuals to ensure the computational data and structural renders remain traceable.

Can I generate conceptual schematics and comparison plots without speculative visuals?

Generating conceptual schematics without speculative visuals requires planning the figure intent first. By identifying the minimal artifacts needed to support a specific claim, you avoid unsupported graphics and ensure the structural data directly backs the research output.

Why should I include source references and script paths in my scientific figures?

Including source references and script paths in scientific figures ensures reproducibility and provenance. This practice allows reviewers to trace the computational data back to its origin, verify the rendering scripts, and regenerate the comparison plots or schematics independently.