--- name: xhs-images description: Xiaohongshu (Little Red Book) infographic series generator with multiple style options. Breaks down content into 1-10 cartoon-style infographics. Use when user asks to create "小红书图片", "XHS images", or "RedNote infographics". --- # Xiaohongshu Infographic Series Generator Break down complex content into eye-catching infographic series for Xiaohongshu with multiple style options. ## Usage ```bash # Auto-select style and layout based on content /xhs-images posts/ai-future/article.md # Specify style /xhs-images posts/ai-future/article.md --style notion # Specify layout /xhs-images posts/ai-future/article.md --layout dense # Combine style and layout /xhs-images posts/ai-future/article.md --style tech --layout list # Direct content input /xhs-images [paste content] # Direct input with options /xhs-images --style bold --layout comparison [paste content] ``` ## Options | Option | Description | |--------|-------------| | `--style ` | Visual style (see Style Gallery) | | `--layout ` | Information layout (see Layout Gallery) | ## Two Dimensions | Dimension | Controls | Options | |-----------|----------|---------| | **Style** | Visual aesthetics: colors, lines, decorations | cute, fresh, tech, warm, bold, minimal, retro, pop, notion | | **Layout** | Information structure: density, arrangement | sparse, balanced, dense, list, comparison, flow | Style × Layout can be freely combined. Example: `--style notion --layout dense` creates an intellectual-looking knowledge card with high information density. ## Style Gallery ### 1. `cute` (Default) Sweet, adorable, girly - classic Xiaohongshu aesthetic - **Colors**: Pink, peach, mint, lavender, cream background - **Elements**: Cute stickers, emoji icons, hearts, stars, sparkles - **Best for**: Lifestyle, beauty, fashion, daily tips ### 2. `fresh` Clean, refreshing, natural - **Colors**: Mint green, sky blue, white, light yellow - **Elements**: Plant icons, clouds, simple shapes, breathing room - **Best for**: Health, wellness, minimalist lifestyle, self-care ### 3. `tech` Modern, smart, digital - **Colors**: Deep blue, purple, cyan, dark backgrounds with neon accents - **Elements**: Geometric shapes, data icons, circuit patterns, glowing effects - **Best for**: Tech tutorials, AI content, digital tools, productivity ### 4. `warm` Cozy, friendly, approachable - **Colors**: Warm orange, golden yellow, brown, cream - **Elements**: Sun motifs, coffee cups, cozy illustrations, warm lighting - **Best for**: Personal stories, life lessons, emotional content ### 5. `bold` High impact, attention-grabbing - **Colors**: Red, orange, black, yellow accents - **Elements**: Strong typography, exclamation marks, arrows, contrast - **Best for**: Important tips, warnings, must-know content ### 6. `minimal` Ultra-clean, sophisticated - **Colors**: Black, white, single accent color - **Elements**: Maximum whitespace, simple icons, clean lines - **Best for**: Professional content, serious topics, elegant presentations ### 7. `retro` Vintage, nostalgic, trendy - **Colors**: Muted pastels, sepia, faded tones - **Elements**: Vintage badges, halftone dots, classic typography - **Best for**: Throwback content, classic tips, timeless advice ### 8. `pop` Vibrant, energetic, eye-catching - **Colors**: Bright primary colors, neon accents, white - **Elements**: Bold shapes, comic-style elements, dynamic compositions - **Best for**: Exciting announcements, fun facts, engaging tutorials ### 9. `notion` Minimalist hand-drawn line art, intellectual - **Colors**: Black outlines, white background, 1-2 pastel accents - **Elements**: Simple line doodles, geometric shapes, hand-drawn wobble, maximum whitespace - **Best for**: Knowledge sharing, concept explanations, SaaS content, productivity tips ## Layout Gallery ### 1. `sparse` (Default) Minimal information, maximum impact - **Density**: 1-2 key points per image - **Whitespace**: 60-70% of canvas - **Structure**: Single focal point, one core message - **Best for**: Covers, quotes, impactful statements, emotional content ### 2. `balanced` Standard content layout - **Density**: 3-4 key points per image - **Whitespace**: 40-50% of canvas - **Structure**: Title + 3-4 bullet points or sections - **Best for**: Regular content pages, tutorials, explanations ### 3. `dense` High information density, knowledge card style - **Density**: 5-8 key points per image - **Whitespace**: 20-30% of canvas - **Structure**: Multiple sections, structured grid, more text - **Best for**: Summary cards, cheat sheets, comprehensive guides, 干货总结 ### 4. `list` Enumeration and ranking format - **Density**: 4-7 items - **Whitespace**: 30-40% of canvas - **Structure**: Numbered or bulleted vertical list, consistent item format - **Best for**: Top N lists, checklists, step-by-step guides, rankings ### 5. `comparison` Side-by-side contrast layout - **Density**: 2 main sections with 2-4 points each - **Whitespace**: 30-40% of canvas - **Structure**: Left vs Right, Before/After, Pros/Cons - **Best for**: Comparisons, transformations, decision helpers, 对比图 ### 6. `flow` Process and timeline layout - **Density**: 3-6 steps/stages - **Whitespace**: 30-40% of canvas - **Structure**: Connected nodes with arrows, sequential flow - **Best for**: Processes, timelines, cause-effect chains, workflows ## Auto Style Selection When no `--style` is specified, analyze content to select: | Content Signals | Selected Style | |----------------|----------------| | Beauty, fashion, cute, girl, pink | `cute` | | Health, nature, clean, fresh, organic | `fresh` | | Tech, AI, code, digital, app, tool | `tech` | | Life, story, emotion, feeling, warm | `warm` | | Warning, important, must, critical | `bold` | | Professional, business, elegant, simple | `minimal` | | Classic, vintage, old, traditional | `retro` | | Fun, exciting, wow, amazing | `pop` | | Knowledge, concept, productivity, SaaS, notion | `notion` | ## Auto Layout Selection When no `--layout` is specified, analyze content structure to select: | Content Signals | Selected Layout | |----------------|-----------------| | Single quote, one key point, cover | `sparse` | | 3-4 points, explanation, tutorial | `balanced` | | 5+ points, summary, cheat sheet, 干货 | `dense` | | Numbered items, top N, checklist, steps | `list` | | vs, compare, before/after, pros/cons | `comparison` | | Process, flow, timeline, steps with order | `flow` | **Layout by Position**: | Position | Recommended Layout | |----------|-------------------| | Cover | `sparse` | | Content | `balanced` or content-appropriate | | Ending | `sparse` or `balanced` | ## File Management ### With Article Path Save to `xhs-images/` subdirectory in the same folder as the article: ``` posts/ai-future/ ├── article.md └── xhs-images/ ├── outline.md ├── prompts/ │ ├── 01-cover.md │ ├── 02-content-1.md │ └── ... ├── 01-cover.png ├── 02-content-1.png └── 03-ending.png ``` ### Without Article Path Save to `xhs-outputs/YYYY-MM-DD/[topic-slug]/`: ``` xhs-outputs/ └── 2026-01-13/ └── ai-agent-guide/ ├── outline.md ├── prompts/ │ ├── 01-cover.md │ └── ... ├── 01-cover.png └── 02-ending.png ``` ## Workflow ### Step 1: Analyze Content & Select Style/Layout 1. Read content 2. If `--style` specified, use that style; otherwise auto-select 3. If `--layout` specified, use that layout; otherwise auto-select per image 4. Determine image count based on content complexity: | Content Type | Image Count | |-------------|-------------| | Simple opinion / single topic | 2-3 | | Medium complexity / tutorial | 4-6 | | Deep dive / multi-dimensional | 7-10 | **Note**: Layout can vary per image in a series. Cover typically uses `sparse`, content pages use `balanced`/`dense`/`list` as appropriate. ### Step 2: Generate Outline Plan for each image with style and layout specifications: ```markdown # Xiaohongshu Infographic Series Outline **Topic**: [topic description] **Style**: [selected style] **Default Layout**: [selected layout or "varies"] **Image Count**: N **Generated**: YYYY-MM-DD HH:mm --- ## Image 1 of N **Position**: Cover **Layout**: sparse **Core Message**: [one-liner] **Filename**: 01-cover.png **Text Content**: - Title: xxx - Subtitle: xxx **Visual Concept**: [style + layout appropriate description] --- ## Image 2 of N **Position**: Content **Layout**: [balanced/dense/list/comparison/flow] **Core Message**: [one-liner] **Filename**: 02-xxx.png **Text Content**: - Title: xxx - Points: [list based on layout density] **Visual Concept**: [description matching style + layout] --- ... ``` ### Step 3: Save Outline Save outline as `outline.md`. ### Step 4: Generate Images One by One For each image, create a prompt file with style and layout specifications. **Prompt Format**: ```markdown Infographic theme: [topic] Style: [style name] Layout: [layout name] Position: [cover/content/ending] Visual composition: - Main visual: [style-appropriate description] - Arrangement: [layout-specific structure] - Decorative elements: [style-specific decorations] Color scheme: - Primary: [style primary color] - Background: [style background color] - Accent: [style accent color] Text content: - Title: 「xxx」(large, prominent) - Key points: [based on layout density] Layout instructions: [layout-specific guidance] Style notes: [style-specific characteristics] ``` **Layout-Specific Instructions**: | Layout | Arrangement Instructions | |--------|-------------------------| | `sparse` | Single focal point centered, 1-2 text elements, maximum breathing room | | `balanced` | Title at top, 3-4 points in clear sections, moderate spacing | | `dense` | Grid or multi-section layout, 5-8 points, compact but organized | | `list` | Vertical numbered/bulleted list, consistent item spacing, clear hierarchy | | `comparison` | Two-column split, clear divider, mirrored structure left/right | | `flow` | Horizontal or vertical flow with arrows, connected nodes/steps | **Image Generation Skill Selection**: 1. Check available image generation skills 2. If multiple skills available, ask user to choose **Generation Flow**: 1. Call selected image generation skill with prompt file and output path 2. Confirm generation success 3. Report progress: "Generated X/N" 4. Continue to next ### Step 5: Completion Report ``` Xiaohongshu Infographic Series Complete! Topic: [topic] Style: [style name] Layout: [layout name or "varies"] Location: [directory path] Images: N total - 01-cover.png ✓ Cover (sparse) - 02-content-1.png ✓ Content (balanced) - 03-content-2.png ✓ Content (dense) - 04-ending.png ✓ Ending (sparse) Outline: outline.md ``` ## Style Reference Details ### cute ``` Colors: Pink (#FED7E2), peach (#FEEBC8), mint (#C6F6D5), lavender (#E9D8FD) Background: Cream (#FFFAF0), soft pink (#FFF5F7) Accents: Hot pink, coral Elements: Hearts, stars, sparkles, cute faces, ribbon decorations, sticker-style Typography: Rounded, bubbly hand lettering ``` ### fresh ``` Colors: Mint green (#9AE6B4), sky blue (#90CDF4), light yellow (#FAF089) Background: Pure white (#FFFFFF), soft mint (#F0FFF4) Accents: Leaf green, water blue Elements: Plant leaves, clouds, water drops, simple geometric shapes Typography: Clean, light hand lettering with breathing room ``` ### tech ``` Colors: Deep blue (#1A365D), purple (#6B46C1), cyan (#00D4FF) Background: Dark gray (#1A202C), near-black (#0D1117) Accents: Neon green (#00FF88), electric blue Elements: Circuit patterns, data icons, geometric grids, glowing effects Typography: Monospace-style hand lettering, subtle glow ``` ### warm ``` Colors: Warm orange (#ED8936), golden yellow (#F6AD55), terracotta (#C05621) Background: Cream (#FFFAF0), soft peach (#FED7AA) Accents: Deep brown (#744210), soft red Elements: Sun rays, coffee cups, cozy items, warm lighting effects Typography: Friendly, rounded hand lettering ``` ### bold ``` Colors: Vibrant red (#E53E3E), orange (#DD6B20), yellow (#F6E05E) Background: Deep black (#000000), dark charcoal Accents: White, neon yellow Elements: Exclamation marks, arrows, warning icons, strong shapes Typography: Bold, impactful hand lettering with shadows ``` ### minimal ``` Colors: Black (#000000), white (#FFFFFF) Background: Off-white (#FAFAFA), pure white Accents: Single color (content-derived - blue, green, or coral) Elements: Single focal point, thin lines, maximum whitespace Typography: Clean, simple hand lettering ``` ### retro ``` Colors: Muted orange, dusty pink (#FED7E2 at 70%), faded teal Background: Aged paper (#F5E6D3), sepia tones Accents: Faded red, vintage gold Elements: Halftone dots, vintage badges, classic icons, tape effects Typography: Vintage-style hand lettering, classic feel ``` ### pop ``` Colors: Bright red (#F56565), yellow (#ECC94B), blue (#4299E1), green (#48BB78) Background: White (#FFFFFF), light gray Accents: Neon pink, electric purple Elements: Bold shapes, speech bubbles, comic-style effects, starburst Typography: Dynamic, energetic hand lettering with outlines ``` ### notion ``` Colors: Black (#1A1A1A), dark gray (#4A4A4A) Background: Pure white (#FFFFFF), off-white (#FAFAFA) Accents: Pastel blue (#A8D4F0), pastel yellow (#F9E79F), pastel pink (#FADBD8) Elements: Simple line doodles, hand-drawn wobble effect, geometric shapes, stick figures, maximum whitespace Typography: Clean hand-drawn lettering, simple sans-serif labels ``` ## Layout Reference Details ### sparse ``` Information Density: Very Low (1-2 points) Whitespace: 60-70% Structure: Single centered focal point Text Elements: Title only, or title + one subtitle/tagline Visual Balance: Centered, symmetrical, breathing room on all sides Best Pairing: Any style, especially effective with bold, minimal, notion ``` ### balanced ``` Information Density: Medium (3-4 points) Whitespace: 40-50% Structure: Title at top, content sections below Text Elements: Title + 3-4 bullet points or key messages Visual Balance: Top-weighted title, evenly distributed content below Best Pairing: All styles work well ``` ### dense ``` Information Density: High (5-8 points) Whitespace: 20-30% Structure: Multi-section grid or stacked blocks Text Elements: Title + multiple sections with headers + numerous points Visual Balance: Organized chaos, clear section boundaries, compact spacing Best Pairing: tech, notion, minimal (clean styles prevent visual overload) ``` ### list ``` Information Density: Medium-High (4-7 items) Whitespace: 30-40% Structure: Vertical enumeration with numbers or bullets Text Elements: Title + numbered/bulleted items, consistent format per item Visual Balance: Left-aligned list, clear number/bullet hierarchy Best Pairing: All styles, especially cute (checklist), bold (rankings) ``` ### comparison ``` Information Density: Medium (2×2-4 points) Whitespace: 30-40% Structure: Two-column split with center divider Text Elements: Title + left label + right label + mirrored points Visual Balance: Symmetrical left/right, clear visual contrast Best Pairing: bold (dramatic contrast), tech (data comparison), warm (before/after stories) ``` ### flow ``` Information Density: Medium (3-6 steps) Whitespace: 30-40% Structure: Connected nodes with directional arrows Text Elements: Title + step labels + optional descriptions per step Visual Balance: Directional flow (top→bottom or left→right), clear progression Best Pairing: tech (process diagrams), notion (simple flows), fresh (organic flows) ``` ## Content Breakdown Principles 1. **Cover (Image 1)**: Strong visual impact, core title, attention hook → `sparse` layout 2. **Content (Middle)**: Core points per image, density varies by content → `balanced`/`dense`/`list`/`comparison`/`flow` 3. **Ending (Last)**: Summary / call-to-action / memorable quote → `sparse` or `balanced` **Style × Layout Matrix** (recommended combinations): | | sparse | balanced | dense | list | comparison | flow | |---|:---:|:---:|:---:|:---:|:---:|:---:| | cute | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | | fresh | ✓✓ | ✓✓ | ✓ | ✓ | ✓ | ✓✓ | | tech | ✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ | | warm | ✓✓ | ✓✓ | ✓ | ✓ | ✓✓ | ✓ | | bold | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ | | minimal | ✓✓ | ✓✓ | ✓✓ | ✓ | ✓ | ✓ | | retro | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | | pop | ✓✓ | ✓✓ | ✓ | ✓✓ | ✓✓ | ✓ | | notion | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ | ✓✓ = highly recommended, ✓ = works well ## Notes - Image generation typically takes 10-30 seconds per image - Auto-retry once on generation failure - Use cartoon alternatives for sensitive public figures - Output language matches input content language - Maintain selected style consistency across all images in series