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paper-diagrams

Generate publication-quality diagrams from project descriptions using a multi-agent pipeline.

Updated Aug 27, 2026
Search Tags:#multi-agent#visualization#diagrams#diagram#publication#ai-assisted-design
One-click install
npx skills add https://github.com/mlamla123/openclaw-starter-kit --skill paper-diagrams
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-diagrams
Source: https://github.com/mlamla123/openclaw-starter-kit/tree/main/skills/paper-diagrams
Command: npx skills add https://github.com/mlamla123/openclaw-starter-kit --skill paper-diagrams

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, curl, base64, and includes scripts (resource) components.

What problem does it solve?

Producing publication-quality diagrams for research papers, presentations, and documentation can be time-consuming and error-prone without a structured workflow.

Core Features & Use Cases

  • Multi-agent diagram pipeline: Planner → Stylist → (Visualizer → Critic) ×3
  • Gemini-native image generation optimized for structured diagrams with text
  • 3-round critic feedback loop for iterative refinement
  • Reusable templates for architecture diagrams, data pipelines, and system overviews
  • Suitable for papers, READMEs, slides, and project documentation

Quick Start

Install required environment variables and run the planner-stylist-visualizer-critic sequence to generate a publication-quality diagram.

Frequently Asked Questions about paper-diagrams

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

FAQPage Schema
How do I generate publication-quality diagrams from project descriptions?▼

Yes, you can create architecture diagrams and data pipeline visuals by providing your project description to the planner and stylist agents. The workflow generates structured diagrams optimized for publication in papers, slides, and READMEs.

How does the multi-agent critique loop refine diagrams?▼

The multi-agent critique loop refines diagrams through a sequence of Planner, Stylist, Visualizer, and Critic agents. This cycle repeats three times, applying automated visual feedback to iteratively improve the clarity and consistency of the generated diagram.

Do I need Python to run the diagram generation workflow?▼

Yes, Python3 is required to run the scripts. You also need curl and base64 dependencies installed to execute the multi-agent diagram workflow and process the Gemini-based image generation.

What is the best way to create consistent system overviews for research papers?▼

The best way to create consistent system overviews for research papers is using a structured multi-agent diagram pipeline. It applies reusable templates and iterative critique refinement to ensure visuals meet publication-quality standards.

Why does my AI-generated architecture diagram have misaligned text?▼

Misaligned text in AI-generated architecture diagrams occurs when image generation lacks structured planning. This skill solves that by applying a stylist agent and a three-round iterative critique loop to optimize text placement and visual structure.

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