name	notebooklm-slide-styles
description	Translates visual identity and design documents into standardized YAML for NotebookLM slide generation.

NotebookLM Slide Styles Skill

This skill enables an AI assistant to translate visual identity and design documents into a standardized YAML format optimized for NotebookLM slide generation.

When to Trigger

The user provides an image or a set of images and asks for the "style" or "design system".
The user uploads a PDF or PPT and wants to replicate its layout/aesthetic for new slides.
The user describes a theme (e.g., "Cyberpunk", "Eco-minimalism") and needs a design definition.
The user explicitly mentions "NotebookLM slide YAML" or "Slide deck styles".

Workflow

1. Analyze Style Inputs

When visual or document inputs are provided, analyze the following aspects:

Typography: Identify primary fonts (headings) and secondary/body fonts. Note the weights, letter spacing, and casing.
Color Palette: Identify primary, secondary, and accent colors. Look for HEX codes or descriptive names. Identify background styles (solid, gradient, patterns).
Key Visual Elements: Patterns, photography styles (e.g., minimalist, high contrast, warm lighting), icon styles, and layout characteristics (e.g., asymmetrical, grid-based).

2. Map to Slide Templates

Standardize the design across these common slide types:

Cover: Main title, subtitle, background.
Split Layouts: 50/50 or 40/60 image-text distributions.
Lists & Processes: How headers and list items are visually organized.
Timeline/Roadmap: Horizontal or grid-based flows.
Profiles: Team/Founder introductions.
Closings: Engaging final visuals.

3. Generate Image Prompts

Create a dedicated section for image generation AI (like Midjourney, DALL-E) or stock searches:

Style Guidelines: Keywords for lighting, texture, and overall vibe.
Themes: Specific prompts for abstract backgrounds, accent objects, and portraits.

4. Output Format

ALWAYS produce a valid YAML following this exact structure:

design_system:
  global_style:
    theme: "[Detailed description of the vibe]"
    typography: 
      primary_heading: "[Font name and style]"
      secondary_heading: "[Font name and style]"
      body_text: "[Font name and style]"
    color_palette:
      primary_color: "[HEX or Name]"
      background: "[HEX or pattern description]"
      text_main: "[HEX or Name]"
    key_visual_elements: 
      - "[Element 1 description]"
      - "[Element 2 description]"

  image_generation_prompts:
    style_guidelines: "[General AI photography/art guidance]"
    themes:
      - target: "[Target name, e.g., Abstract Background]"
        prompt_elements: "[Specific keywords for AI prompt]"

slide_layout_templates:
  - type: "[TemplateName]"
    usage: "[When to use it]"
    components:
      - "[Component 1 description]"
      - "[Component 2 description]"

NotebookLM Slide Styles Skill

This skill enables an AI assistant to translate visual identity and design documents into a standardized YAML format optimized for NotebookLM slide generation.

When to Trigger

The user provides an image or a set of images and asks for the "style" or "design system".

The user uploads a PDF or PPT and wants to replicate its layout/aesthetic for new slides.

The user describes a theme (e.g., "Cyberpunk", "Eco-minimalism") and needs a design definition.

The user explicitly mentions "NotebookLM slide YAML" or "Slide deck styles".

Workflow

1. Analyze Style Inputs

When visual or document inputs are provided, analyze the following aspects:

Typography: Identify primary fonts (headings) and secondary/body fonts. Note the weights, letter spacing, and casing.

Color Palette: Identify primary, secondary, and accent colors. Look for HEX codes or descriptive names. Identify background styles (solid, gradient, patterns).

Key Visual Elements: Patterns, photography styles (e.g., minimalist, high contrast, warm lighting), icon styles, and layout characteristics (e.g., asymmetrical, grid-based).

2. Map to Slide Templates

Standardize the design across these common slide types:

Cover: Main title, subtitle, background.

Split Layouts: 50/50 or 40/60 image-text distributions.

Lists & Processes: How headers and list items are visually organized.

Timeline/Roadmap: Horizontal or grid-based flows.

Profiles: Team/Founder introductions.

Closings: Engaging final visuals.

3. Generate Image Prompts

Create a dedicated section for image generation AI (like Midjourney, DALL-E) or stock searches:

Style Guidelines: Keywords for lighting, texture, and overall vibe.

Themes: Specific prompts for abstract backgrounds, accent objects, and portraits.

4. Output Format

ALWAYS produce a valid YAML following this exact structure:

design_system: global_style: theme: "[Detailed description of the vibe]" typography: primary_heading: "[Font name and style]" secondary_heading: "[Font name and style]" body_text: "[Font name and style]" color_palette: primary_color: "[HEX or Name]" background: "[HEX or pattern description]" text_main: "[HEX or Name]" key_visual_elements: - "[Element 1 description]" - "[Element 2 description]" image_generation_prompts: style_guidelines: "[General AI photography/art guidance]" themes: - target: "[Target name, e.g., Abstract Background]" prompt_elements: "[Specific keywords for AI prompt]" slide_layout_templates: - type: "[TemplateName]" usage: "[When to use it]" components: - "[Component 1 description]" - "[Component 2 description]"

notebooklm-slide-styles