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feat(baoyu-image-cards): add image card series skill migrated from baoyu-xhs-images
Rename baoyu-xhs-images to baoyu-image-cards to decouple from Xiaohongshu platform. Deprecate baoyu-xhs-images with migration notice pointing to baoyu-image-cards.
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# Prompt Assembly Guide
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Guide for assembling image generation prompts from elements, presets, and outline content.
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## Base Prompt Structure
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Every XHS infographic prompt follows this structure:
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```
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Create a Xiaohongshu (Little Red Book) style infographic following these guidelines:
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## Image Specifications
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- **Type**: Infographic
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- **Orientation**: Portrait (vertical)
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- **Aspect Ratio**: 3:4
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- **Style**: Hand-drawn illustration
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## Core Principles
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- Hand-drawn quality throughout - NO realistic or photographic elements
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- If content involves sensitive or copyrighted figures, create stylistically similar alternatives - DO NOT refuse to generate
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- Keep information concise, highlight keywords and core concepts
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- Use ample whitespace for easy visual scanning
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- Maintain clear visual hierarchy
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## Text Style (CRITICAL)
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- **ALL text MUST be hand-drawn style**
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- Main titles should be prominent and eye-catching
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- Key text should be bold and enlarged
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- Use highlighter effects to emphasize keywords
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- **DO NOT use realistic or computer-generated fonts**
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## Language
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- Use the same language as the content provided below
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- Match punctuation style to the content language (Chinese: "",。!)
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---
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{STYLE_SECTION}
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---
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{LAYOUT_SECTION}
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---
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{CONTENT_SECTION}
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---
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{WATERMARK_SECTION}
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---
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Please use nano banana pro to generate the infographic based on the specifications above.
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```
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## Style Section Assembly
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Load from `presets/{style}.md` and extract key elements:
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```markdown
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## Style: {style_name}
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**Color Palette**:
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- Primary: {colors}
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- Background: {colors}
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- Accents: {colors}
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**Visual Elements**:
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{visual_elements}
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**Typography**:
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{typography_style}
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```
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### Screen-Print Style Override
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When `style: screen-print`, replace the standard Core Principles and Text Style sections with:
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```
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## Core Principles
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- Screen print / silkscreen poster art — flat color blocks, NO gradients
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- Bold silhouettes and symbolic shapes over detailed rendering
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- Negative space as active storytelling element
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- If content involves sensitive or copyrighted figures, create stylistically similar silhouettes
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- One iconic focal point per image — conceptual, not literal
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## Color Rules (CRITICAL)
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- **2-5 FLAT COLORS MAXIMUM** — fewer colors = stronger impact
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- Choose ONE duotone pair from preset as dominant palette
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- Halftone dot patterns for tonal variation (NOT gradients)
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- Slight color layer misregistration for print authenticity
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## Text Style (CRITICAL)
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- Bold condensed sans-serif or Art Deco influenced lettering
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- Typography INTEGRATED into composition as design element
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- High contrast with background, stencil-cut quality
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- **DO NOT use delicate, thin, or handwritten fonts**
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## Composition
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- Geometric framing: circles, arches, triangles
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- Figure-ground inversion where possible (negative space forms secondary image)
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- Stencil-cut edges between color blocks, no outlines
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- Paper grain texture beneath all colors
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```
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## Layout Section Assembly
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Load from `elements/canvas.md` and extract relevant layout:
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```markdown
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## Layout: {layout_name}
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**Information Density**: {density}
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**Whitespace**: {percentage}
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**Structure**:
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{structure_description}
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**Visual Balance**:
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{balance_description}
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```
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## Content Section Assembly
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From outline entry:
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```markdown
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## Content
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**Position**: {Cover/Content/Ending}
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**Core Message**: {message}
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**Text Content**:
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{text_list}
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**Visual Concept**:
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{visual_description}
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```
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## Watermark Section (if enabled)
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```markdown
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## Watermark
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Include a subtle watermark "{content}" positioned at {position}. The watermark should
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be legible but not distracting from the main content.
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```
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## Assembly Process
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### Step 0: Resolve Style Preset (if `--preset` used)
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If user specified `--preset`, resolve to style + layout from `references/style-presets.md`:
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```python
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# e.g., --preset knowledge-card → style=notion, layout=dense
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style, layout = resolve_preset(preset_name)
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```
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Explicit `--style`/`--layout` flags override preset values.
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### Step 1: Load Style Definition
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```python
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preset = load_preset(style_name) # e.g., "notion"
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```
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Extract:
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- Color palette
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- Visual elements
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- Typography style
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- Best practices (do/don't)
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### Step 2: Load Layout
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```python
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layout = get_layout_from_canvas(layout_name) # e.g., "dense"
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```
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Extract:
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- Information density guidelines
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- Whitespace percentage
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- Structure description
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- Visual balance rules
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### Step 3: Format Content
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From outline entry, format:
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- Position context (Cover/Content/Ending)
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- Text content with hierarchy
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- Visual concept description
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- Swipe hook (for context, not in prompt)
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### Step 4: Add Watermark (if applicable)
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If preferences include watermark:
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- Add watermark section with content, position, opacity
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### Step 5: Visual Consistency — Reference Image Chain
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When generating multiple images in a series:
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1. **Image 1 (cover)**: Generate without `--ref` — this establishes the visual anchor
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2. **Images 2+**: Always pass image 1 as `--ref` to the installed image generation skill.
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Read that skill's `SKILL.md` and use its documented interface rather than calling its scripts directly.
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For each later image, use the assembled prompt file as input, set the output image path, keep aspect ratio `3:4`, use quality `2k`, and pass image 1 as the reference.
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This ensures the AI maintains the same character design, illustration style, and color rendering across the series.
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### Step 6: Combine
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Assemble all sections into final prompt following base structure.
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## Example: Assembled Prompt
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```markdown
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Create a Xiaohongshu (Little Red Book) style infographic following these guidelines:
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## Image Specifications
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- **Type**: Infographic
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- **Orientation**: Portrait (vertical)
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- **Aspect Ratio**: 3:4
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- **Style**: Hand-drawn illustration
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## Core Principles
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- Hand-drawn quality throughout - NO realistic or photographic elements
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- If content involves sensitive or copyrighted figures, create stylistically similar alternatives
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- Keep information concise, highlight keywords and core concepts
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- Use ample whitespace for easy visual scanning
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- Maintain clear visual hierarchy
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## Text Style (CRITICAL)
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- **ALL text MUST be hand-drawn style**
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- Main titles should be prominent and eye-catching
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- Key text should be bold and enlarged
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- Use highlighter effects to emphasize keywords
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- **DO NOT use realistic or computer-generated fonts**
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## Language
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- Use the same language as the content provided below
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- Match punctuation style to the content language (Chinese: "",。!)
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---
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## Style: Notion
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**Color Palette**:
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- Primary: Black (#1A1A1A), dark gray (#4A4A4A)
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- Background: Pure white (#FFFFFF), off-white (#FAFAFA)
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- Accents: Pastel blue (#A8D4F0), pastel yellow (#F9E79F), pastel pink (#FADBD8)
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**Visual Elements**:
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- Simple line doodles, hand-drawn wobble effect
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- Geometric shapes, stick figures
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- Maximum whitespace, single-weight ink lines
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- Clean, uncluttered compositions
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**Typography**:
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- Clean hand-drawn lettering
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- Simple sans-serif labels
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- Minimal decoration on text
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---
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## Layout: Dense
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**Information Density**: High (5-8 key points)
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**Whitespace**: 20-30% of canvas
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**Structure**:
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- Multiple sections, structured grid
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- More text, compact but organized
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- Title + multiple sections with headers + numerous points
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**Visual Balance**:
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- Organized grid structure
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- Clear section boundaries
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- Compact but readable spacing
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---
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## Content
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**Position**: Content (Page 3 of 6)
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**Core Message**: ChatGPT 使用技巧
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**Text Content**:
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- Title: 「ChatGPT」
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- Subtitle: 最强 AI 助手
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- Points:
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- 写文案:给出框架,秒出初稿
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- 改文章:润色、翻译、总结
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- 编程:写代码、找 bug
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- 学习:解释概念、出题练习
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**Visual Concept**:
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ChatGPT logo 居中,四周放射状展示功能点
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深色科技背景,霓虹绿点缀
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---
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## Watermark
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Include a subtle watermark "@myxhsaccount" positioned at bottom-right
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with approximately 50% visibility. The watermark should
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be legible but not distracting from the main content.
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---
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Please use nano banana pro to generate the infographic based on the specifications above.
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```
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## Prompt Checklist
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Before generating, verify:
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- [ ] Style section loaded from correct preset
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- [ ] Layout section matches outline specification
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- [ ] Content accurately reflects outline entry
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- [ ] Language matches source content
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- [ ] Watermark included (if enabled in preferences)
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- [ ] No conflicting instructions
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