ReddRadar
Agent skill
ACOS Visual Generator
Generate research-grounded visuals using the InfoGenius pipeline. Use when creating infographics, diagrams, educational visuals, or any image that benefits from factual accuracy. Supports 8 visual styles (3D, technical, minimalist, photorealistic, futuristic, vintage, cartoon, standard) and 4 audience levels.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/acos-visual-gen
SKILL.md
ACOS Visual Generator
What This Skill Does
Creates research-grounded images by:
- Researching the topic via web search
- Extracting key facts for accuracy
- Constructing a detailed image prompt
- Generating via Nano Banana MCP (Gemini 2.5 Flash Image)
Prerequisites
- Nano Banana MCP server configured
- WebSearch tool available
Quick Start
User: "Create a 3D infographic about quantum computing"
Process:
1. WebSearch → Extract key facts
2. Construct prompt with style instructions
3. mcp__nanobanana__generate_image()
4. Return image with sources
Visual Styles
| Style | Description |
|---|---|
standard |
Clean scientific illustration, modern, professional |
minimalist |
Bauhaus, flat vector, 2-3 colors, negative space |
photorealistic |
Cinematic lighting, 8K, detailed textures |
3d |
Isometric render, claymorphism, studio lighting |
technical |
Da Vinci notebook, ink sketch, annotations |
futuristic |
Cyberpunk HUD, neon, holographic |
vintage |
19th century lithograph, sepia, engraving |
cartoon |
Educational comic, vibrant, cel-shaded |
Audience Levels
| Level | Target |
|---|---|
elementary |
Ages 6-10, bright, simple, fun icons |
highschool |
Standard textbook, clean, accurate |
college |
Academic journal, high detail, data-rich |
expert |
Technical schematic, extremely dense |
Step-by-Step Process
Step 1: Research
WebSearch("{topic} facts key information 2026")
Extract 3-5 verifiable facts.
Step 2: Construct Prompt
Create a {aspect_ratio} {style_description} infographic about {topic}.
VISUAL STYLE: {style_instruction}
AUDIENCE: {audience_instruction}
INCLUDE:
- {fact_1_visualized}
- {fact_2_visualized}
- {fact_3_visualized}
COMPOSITION:
- Clear layout with visual hierarchy
- Text should be large and legible
- Include labels and annotations
Step 3: Generate
mcp__nanobanana__generate_image({
prompt: "{constructed_prompt}",
aspect_ratio: "16:9",
model_tier: "pro",
enable_grounding: true,
thinking_level: "high",
resolution: "high"
})
Step 4: Present Results
Return:
- Generated image
- Research sources
- Key facts included
- Modification options
Style Instructions (Copy These)
Standard:
High-quality digital scientific illustration. Clean, modern, highly detailed. Professional color palette.
3D Isometric:
3D Isometric Render. Claymorphism or high-gloss plastic texture, studio lighting, soft shadows, looks like a physical model.
Technical:
Da Vinci Notebook style. Ink on parchment sketch, handwritten annotation style, rough but accurate lines, technical precision.
Futuristic:
Cyberpunk HUD. Glowing neon blue/cyan lines on dark background, holographic data visualization, 3D wireframes.
Example Usage
User: "Visualize how neural networks learn"
Research: WebSearch finds key facts about backpropagation, gradient descent, layers, activation functions.
Prompt:
Create a 16:9 3D isometric infographic about how neural networks learn.
VISUAL STYLE: 3D Isometric Render with claymorphism aesthetic...
INCLUDE:
- Input layer receiving data
- Hidden layers processing with weights
- Backpropagation arrows showing error correction
- Output layer with predictions
Generate: Call Nano Banana MCP with grounding enabled.
Integration
This skill integrates with:
/infogeniuscommand in ACOS- Nano Banana MCP for image generation
- WebSearch for factual grounding
Part of the Agentic Creator OS visual generation pipeline.
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