c-narcissus

c-narcissus / research-paper-figure-skill-factory

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A reusable Skill Factory for creating specialized research-paper figure and diagram generation skills.

19
1
69% credibility
Found May 08, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A blueprint for an AI agent that creates specialized helpers for producing research paper figures via planning, example image collections, and step-by-step candidate refinement.

How It Works

1
🔍 Discover the Skill Factory

While searching for easy ways to create great illustrations for your research paper, you find this helpful AI skill builder.

2
💬 Set Up in Your AI Chat

You copy the simple instructions into your AI assistant conversation to get started.

3
🚀 Build Your Custom Figure Helper

You ask it to make a specialized assistant for your figure type, and it shares a startup plan with beautiful collections of example images.

4
🖼️ Explore Example Boards

You browse the organized image boards showing different styles and subtypes to spark ideas for your paper.

5
🎨 Create First Round Ideas

You request a set of diverse candidate images fitted to your paper's needs, and see several creative options appear.

6
✅ Pick and Refine Your Choice

You select your favorite and generate improved versions with details like labels and layouts perfect for your research.

🏆 Get Your Perfect Paper Figure

You now have a professional, customized figure ready to add to your research paper, making it look polished and effective.

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AI-Generated Review

What is research-paper-figure-skill-factory?

This YAML-based skill factory lets you build reusable agent skills for generating research paper figures and diagrams, handling everything from subtype illustration atlases to iterative candidate image batches and final visuals. It solves the chaos of ad-hoc AI prompting for publication-ready diagrams by enforcing structured workflows like startup plans, atlas embeds, and multi-round optimizations for visual structure, style, and paper-specific tweaks. Developers get a plug-and-play blueprint for creating specialized figure-making agents in OpenAI environments like ChatGPT or Codex.

Why is it gaining traction?

It stands out with rigid rules for reusable skills—mandatory atlas boards, IMAGE_ONLY turns for candidates, and text replies packed with embeds and state tracking—making AI outputs consistent unlike freeform prompting. The hook is its factory pattern: spin up tailored diagram factories with saved assets, diverse first/second-round generations (default 6 each), and fallback prompts, blending reusable github actions vibes with agentic workflows. No more prose-only layouts; every discussion embeds references or flags gaps.

Who should use this?

Academic researchers crafting paper figures, AI prompt engineers building reusable agent skills for viz tasks, or scientists needing evidence-backed diagrams with taxonomy coverage and best-practice divergences. Ideal for those tired of regenerating subpar visuals via basic ChatGPT image tools.

Verdict

Skip unless you're deep in AI-driven research viz—16 stars and 0.7% credibility signal early-stage niche tool with solid YAML rules but unproven scale. Test for your diagram factory needs, but expect tweaks for production.

(178 words)

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