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research-paper-figure-skill-factory

Build reusable evidence-backed skills for creating research paper figures.

47|1|Updated May 5, 2026
Search Tags:#image-prompt#visual-style#scientific-illustration#paper-figure#research-figure#figure-skill-builder#figure-taxonomy
One-click install
npx skills add https://github.com/c-narcissus/research-paper-figure-skill-factory --skill research-paper-figure-skill-factory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-paper-figure-skill-factory
Source: https://github.com/c-narcissus/research-paper-figure-skill-factory/tree/main
Command: npx skills add https://github.com/c-narcissus/research-paper-figure-skill-factory --skill research-paper-figure-skill-factory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill eliminates the ad-hoc, one-off approach to creating figures for research papers. Instead of manually designing each diagram from scratch, it builds a reusable, evidence-backed specialized skill for a specific figure class so you can consistently produce publication-ready figures across multiple papers.

Core Features & Use Cases

  • Evidence-Backed Taxonomy Builder: Automatically extracts figure patterns, captions, and visual evidence from a local corpus of research papers to build a class-specific taxonomy.
  • Reusable Skill Generation: Packages the taxonomy, style atlas, prompts, and workflow into a locked, portable skill usable in ChatGPT, Codex, or OpenClaw.
  • Two-Round Visual Selection: Enforces a diverse first-round candidate board followed by paper-local best-practice optimization before final prompt construction, ensuring high-quality reviewer-friendly outputs.

Quick Start

Use the research-paper-figure-skill-factory skill to generate a specialized figure-making skill for method framework diagrams by providing your corpus of recent CS top-conference oral papers and confirming the target figure class.

Frequently Asked Questions about research-paper-figure-skill-factory

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

FAQPage Schema
How do I build reusable skills for generating research paper figures from a literature corpus?▼

To build reusable research paper figure skills, you provide a local corpus of research papers to extract figure patterns and visual evidence, generating a locked, portable skill package for consistent publication-ready figure creation across multiple papers.

What is the best way to create a visual style taxonomy for scientific illustration in academic papers?▼

Creating a visual style taxonomy for scientific illustration involves automatically extracting figure patterns, captions, and visual evidence from a local corpus of research papers to construct a class-specific, evidence-backed taxonomy.

Can I use the generated figure skills in both ChatGPT and Codex environments?▼

Yes, the generated figure skills are packaged as locked, portable artifacts with state-tracking contracts, making them directly usable for generating research figures across ChatGPT web, Codex, and OpenClaw platforms.

How does the two-round visual selection process work for research paper figure design?▼

The two-round visual selection process enforces a diverse first-round candidate image board, followed by paper-local best-practice optimization before final prompt construction, ensuring high-quality, reviewer-friendly scientific figures.

Do I need a local corpus of research papers to generate a specialized method framework diagram skill?▼

Yes, you need a local corpus of research papers as input to extract evidence-backed patterns and captions, which is required to build a specialized skill for method frameworks, taxonomies, or mechanism diagrams.

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