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HaykTarkhanyan
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scientific-schematics

Generate publication-quality scientific schematics from natural-language prompts.

Updated Mar 31, 2026
Search Tags:#latex#diagram#ai-generation#quality-review#publication#figures#scientific-visualization
One-click install
npx skills add https://github.com/HaykTarkhanyan/dst_research --skill scientific-schematics-hayktarkhanyan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: scientific-schematics
Source: https://github.com/HaykTarkhanyan/dst_research/tree/main/.claude/skills/scientific-schematics
Command: npx skills add https://github.com/HaykTarkhanyan/dst_research --skill scientific-schematics-hayktarkhanyan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes references (resource) components.

What problem does it solve?

Automatically generates publication-quality scientific diagrams from natural-language prompts, reducing manual drafting time and ensuring professional visuals for scholarly work.

Core Features & Use Cases

  • Smart iterative refinement with Gemini 3.1 Pro Preview quality reviews that regenerate only when needed.
  • Document-type aware thresholds (journal, conference, poster, presentation, etc.) to tailor output quality.
  • Specializes in neural-network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visuals.

Quick Start

Describe your diagram in plain language and run python scripts/generate_schematic.py to generate publication-ready figures.

Frequently Asked Questions about scientific-schematics

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

FAQPage Schema
How do I generate scientific diagrams for publication from text prompts?▼

You can generate publication-quality scientific diagrams by providing natural-language prompts to an AI-driven workflow. The tool creates versioned outputs like neural network architectures and biological pathways, applying document-type thresholds to ensure readiness.

Do I need an OpenRouter API key to create AI-generated scientific schematics?▼

Yes, you need OpenRouter API access to generate scientific schematics. The tool uses this access to run Gemini 3.1 Pro Preview quality reviews, which evaluate and regenerate images only when needed to meet publication standards.

Can I tailor scientific visualization quality for different document types like posters or journals?▼

Yes, the tool applies document-type aware thresholds for journals, conferences, posters, and presentations. This tailoring ensures the generated scientific schematics meet the specific visual quality and formatting requirements of your target publication.

What is the best way to refine AI-generated neural network diagrams for a research paper?▼

The best way to refine neural network diagrams is through the smart-iteration workflow. It uses Gemini 3.1 Pro Preview quality reviews to assess publication readiness, automatically regenerating only when needed and logging detailed iteration-specific improvements.

What types of scientific schematics can I generate with an AI-driven diagram tool?▼

You can generate various scientific schematics including neural-network architectures, system diagrams, data-flow diagrams, biological pathways, and electronic schematics. The tool produces versioned images and a detailed review log for each.

Why does the scientific diagram generation process include a detailed review log?▼

The scientific diagram generation process includes a detailed review log to track the smart iterative refinement. It records Gemini 3.1 Pro Preview quality assessments and versioned outputs, ensuring transparency and publication readiness for scholarly work.

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