Acos visual gen
Creator-lane agent skills from Agentic Creator OS. Install: npx skills add frankxai/creator-skills
npx -y skills add frankxai/creator-skills --skill acos-visual-genAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
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.
SKILL.md
4.2 KB, as published. Nobody here has run it
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 | Dark Premium 3D — navy background, glass/chrome surfaces, neon accents. NEVER claymorphic |
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 Dark Premium:
Dark Premium 3D visualization. Navy background (#0f172a), glass/chrome surfaces with metallic reflections, neon accent glows (cyan #43BFE3, purple #AB47C7, gold #F59E0B). 3+ depth layers, studio lighting, professional architectural render quality. NEVER claymorphic, NEVER pastel, NEVER clay texture.
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 Dark Premium 3D infographic about how neural networks learn.
VISUAL STYLE: Navy background (#0f172a), glass/chrome surfaces, neon accents...
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
visual-creationskill for quality-gated workflow
Part of the Agentic Creator OS visual generation pipeline.