Baoyu Xhs Images logo

Baoyu Xhs Images

Organization
ECNU-ICALK
baoyu-xhs-images

Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.

Overview

PublisherECNU-ICALK
RepositoryAutoSkill
Skill namebaoyu-xhs-images
Stars
587
Forks
56
Bundled files
20
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 20 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ECNU-ICALK on GitHub. Read the source before you install it.

Installation

Install the Baoyu Xhs Images AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ECNU-ICALK/AutoSkill.git /tmp/AutoSkill
mkdir -p .claude/skills
cp -r /tmp/AutoSkill/SkillBank/Common/baoyu-skills/baoyu-xhs-images .claude/skills/baoyu-xhs-images
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Baoyu Xhs Images in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Baoyu Xhs Images on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Baoyu Xhs Images is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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
/baoyu-xhs-images posts/ai-future/article.md

# Specify style
/baoyu-xhs-images posts/ai-future/article.md --style notion

# Specify layout
/baoyu-xhs-images posts/ai-future/article.md --layout dense

# Combine style and layout
/baoyu-xhs-images posts/ai-future/article.md --style notion --layout list

# Direct content input
/baoyu-xhs-images
[paste content]

# Direct input with options
/baoyu-xhs-images --style bold --layout comparison
[paste content]

Options

OptionDescription
--style <name>Visual style (see Style Gallery)
--layout <name>Information layout (see Layout Gallery)

Two Dimensions

DimensionControlsOptions
StyleVisual aesthetics: colors, lines, decorationscute, fresh, warm, bold, minimal, retro, pop, notion, chalkboard, study-notes
LayoutInformation structure: density, arrangementsparse, balanced, dense, list, comparison, flow, mindmap, quadrant

Style × Layout can be freely combined. Example: --style notion --layout dense creates an intellectual-looking knowledge card with high information density.

Style Gallery

StyleDescription
cute (Default)Sweet, adorable, girly - classic Xiaohongshu aesthetic
freshClean, refreshing, natural
warmCozy, friendly, approachable
boldHigh impact, attention-grabbing
minimalUltra-clean, sophisticated
retroVintage, nostalgic, trendy
popVibrant, energetic, eye-catching
notionMinimalist hand-drawn line art, intellectual
chalkboardColorful chalk on black board, educational
study-notesRealistic handwritten photo style, blue pen + red annotations + yellow highlighter

Detailed style definitions: references/presets/<style>.md

Layout Gallery

LayoutDescription
sparse (Default)Minimal information, maximum impact (1-2 points)
balancedStandard content layout (3-4 points)
denseHigh information density, knowledge card style (5-8 points)
listEnumeration and ranking format (4-7 items)
comparisonSide-by-side contrast layout
flowProcess and timeline layout (3-6 steps)
mindmapCenter radial mind map layout (4-8 branches)
quadrantFour-quadrant / circular section layout

Detailed layout definitions: references/elements/canvas.md

Auto Selection

Content SignalsStyleLayout
Beauty, fashion, cute, girl, pinkcutesparse/balanced
Health, nature, clean, fresh, organicfreshbalanced/flow
Life, story, emotion, feeling, warmwarmbalanced
Warning, important, must, criticalboldlist/comparison
Professional, business, elegant, simpleminimalsparse/balanced
Classic, vintage, old, traditionalretrobalanced
Fun, exciting, wow, amazingpopsparse/list
Knowledge, concept, productivity, SaaSnotiondense/list
Education, tutorial, learning, teaching, classroomchalkboardbalanced/dense
Notes, handwritten, study guide, knowledge, realistic, photostudy-notesdense/list/mindmap

Outline Strategies

Three differentiated outline strategies for different content goals:

Strategy A: Story-Driven (故事驱动型)

AspectDescription
ConceptPersonal experience as main thread, emotional resonance first
FeaturesStart from pain point, show before/after change, strong authenticity
Best forReviews, personal shares, transformation stories
StructureHook → Problem → Discovery → Experience → Conclusion

Strategy B: Information-Dense (信息密集型)

AspectDescription
ConceptValue-first, efficient information delivery
FeaturesClear structure, explicit points, professional credibility
Best forTutorials, comparisons, product reviews, checklists
StructureCore conclusion → Info card → Pros/Cons → Recommendation

Strategy C: Visual-First (视觉优先型)

AspectDescription
ConceptVisual impact as core, minimal text
FeaturesLarge images, atmospheric, instant appeal
Best forHigh-aesthetic products, lifestyle, mood-based content
StructureHero image → Detail shots → Lifestyle scene → CTA

File Structure

Each session creates an independent directory named by content slug:

xhs-images/{topic-slug}/
├── source-{slug}.{ext}             # Source files (text, images, etc.)
├── analysis.md                     # Deep analysis + questions asked
├── outline-strategy-a.md           # Strategy A: Story-driven
├── outline-strategy-b.md           # Strategy B: Information-dense
├── outline-strategy-c.md           # Strategy C: Visual-first
├── outline.md                      # Final selected/merged outline
├── prompts/
│   ├── 01-cover-[slug].md
│   ├── 02-content-[slug].md
│   └── ...
├── 01-cover-[slug].png
├── 02-content-[slug].png
└── NN-ending-[slug].png

Slug Generation:

  1. Extract main topic from content (2-4 words, kebab-case)
  2. Example: "AI工具推荐" → ai-tools-recommend

Conflict Resolution: If xhs-images/{topic-slug}/ already exists:

  • Append timestamp: {topic-slug}-YYYYMMDD-HHMMSS
  • Example: ai-tools exists → ai-tools-20260118-143052

Source Files: Copy all sources with naming source-{slug}.{ext}:

  • source-article.md, source-photo.jpg, etc.
  • Multiple sources supported: text, images, files from conversation

Workflow

Progress Checklist

Copy and track progress:

XHS Infographic Progress:
- [ ] Step 0: Check preferences (EXTEND.md) ⛔ BLOCKING
  - [ ] Found → load preferences → continue
  - [ ] Not found → run first-time setup → MUST complete before Step 1
- [ ] Step 1: Analyze content → analysis.md
- [ ] Step 2: Confirmation 1 - Content understanding ⚠️ REQUIRED
- [ ] Step 3: Generate 3 outline + style variants
- [ ] Step 4: Confirmation 2 - Outline & style & elements selection ⚠️ REQUIRED
- [ ] Step 5: Generate images (sequential)
- [ ] Step 6: Completion report

Flow

Input → [Step 0: Preferences] ─┬─ Found → Continue
                               └─ Not found → First-Time Setup ⛔ BLOCKING
                                              └─ Complete setup → Save EXTEND.md → Continue
        ┌───────────────────────────────────────────────────────────────────────────┘
Analyze → [Confirm 1] → 3 Outlines → [Confirm 2: Outline + Style + Elements] → Generate → Complete

Step 0: Load Preferences (EXTEND.md) ⛔ BLOCKING

Purpose: Load user preferences or run first-time setup.

CRITICAL: If EXTEND.md not found, MUST complete first-time setup before ANY other questions or steps. Do NOT proceed to content analysis, do NOT ask about style, do NOT ask about layout — ONLY complete the preferences setup first.

Use Bash to check EXTEND.md existence (priority order):

bash
# Check project-level first
test -f .baoyu-skills/baoyu-xhs-images/EXTEND.md && echo "project"

# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-xhs-images/EXTEND.md" && echo "user"

┌────────────────────────────────────────────────────┬───────────────────┐ │ Path │ Location │ ├────────────────────────────────────────────────────┼───────────────────┤ │ .baoyu-skills/baoyu-xhs-images/EXTEND.md │ Project directory │ ├────────────────────────────────────────────────────┼───────────────────┤ │ $HOME/.baoyu-skills/baoyu-xhs-images/EXTEND.md │ User home │ └────────────────────────────────────────────────────┴───────────────────┘

┌───────────┬─────────────────────────────────────────────────────────────────────────────────────────────────────┐ │ Result │ Action │ ├───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ Found │ Read, parse, display summary → Continue to Step 1 │ ├───────────┼─────────────────────────────────────────────────────────────────────────────────────────────────────┤ │ Not found │ ⛔ BLOCKING: Run first-time setup ONLY (see below) → Complete and save EXTEND.md → Then Step 1 │ └───────────┴─────────────────────────────────────────────────────────────────────────────────────────────────────┘

First-Time Setup (when EXTEND.md not found):

Language: Use user's input language or saved language preference.

Use AskUserQuestion with ALL questions in ONE call. See references/config/first-time-setup.md for question details.

EXTEND.md Supports: Watermark | Preferred style/layout | Custom style definitions | Language preference

Schema: references/config/preferences-schema.md

Step 1: Analyze Content → analysis.md

Read source content, save it if needed, and perform deep analysis.

Actions:

  1. Save source content (if not already a file):
    • If user provides a file path: use as-is
    • If user pastes content: save to source.md in target directory
    • Backup rule: If source.md exists, rename to source-backup-YYYYMMDD-HHMMSS.md
  2. Read source content
  3. Deep analysis following references/workflows/analysis-framework.md:
    • Content type classification (种草/干货/测评/教程/避坑...)
    • Hook analysis (爆款标题潜力)
    • Target audience identification
    • Engagement potential (收藏/分享/评论)
    • Visual opportunity mapping
    • Swipe flow design
  4. Detect source language
  5. Determine recommended image count (2-10)
  6. Generate clarifying questions (see Step 2)
  7. Save to analysis.md

Step 2: Confirmation 1 - Content Understanding ⚠️

Purpose: Validate understanding + collect missing info. Do NOT skip.

Display summary:

  • Content type + topic identified
  • Key points extracted
  • Tone detected
  • Source images count

Use AskUserQuestion for:

  1. Core selling point (multiSelect: true)
  2. Target audience
  3. Style preference: Authentic sharing / Professional review / Aesthetic mood / Auto
  4. Additional context (optional)

After response: Update analysis.md → Step 3

Step 3: Generate 3 Outline + Style Variants

Based on analysis + user context, create three distinct strategy variants. Each variant includes both outline structure and visual style recommendation.

For each strategy:

StrategyFilenameOutlineRecommended Style
Aoutline-strategy-a.mdStory-driven: emotional, before/afterwarm, cute, fresh
Boutline-strategy-b.mdInformation-dense: structured, factualnotion, minimal, chalkboard
Coutline-strategy-c.mdVisual-first: atmospheric, minimal textbold, pop, retro

Outline format (YAML front matter + content):

yaml
---
strategy: a  # a, b, or c
name: Story-Driven
style: warm  # recommended style for this strategy
style_reason: "Warm tones enhance emotional storytelling and personal connection"
elements:  # from style preset, can be customized in Step 4
  background: solid-pastel
  decorations: [clouds, stars-sparkles]
  emphasis: star-burst
  typography: highlight
layout: balanced  # primary layout
image_count: 5
---

## P1 Cover
**Type**: cover
**Hook**: "入冬后脸不干了🥹终于找到对的面霜"
**Visual**: Product hero shot with cozy winter atmosphere
**Layout**: sparse

## P2 Problem
**Type**: pain-point
**Message**: Previous struggles with dry skin
**Visual**: Before state, relatable scenario
**Layout**: balanced

...

Differentiation requirements:

  • Each strategy MUST have different outline structure AND different recommended style
  • Adapt page count: A typically 4-6, B typically 3-5, C typically 3-4
  • Include style_reason explaining why this style fits the strategy
  • Consider user's style preference from Step 2

Reference: references/workflows/outline-template.md

Step 4: Confirmation 2 - Outline & Style & Elements Selection ⚠️

Purpose: User chooses outline strategy, confirms visual style, and customizes elements. Do NOT skip.

Display each strategy:

  • Strategy name + page count + recommended style
  • Page-by-page summary (P1 → P2 → P3...)

Use AskUserQuestion with three questions:

Question 1: Outline Strategy

  • Strategy A (Recommended if "authentic sharing")
  • Strategy B (Recommended if "professional review")
  • Strategy C (Recommended if "aesthetic mood")
  • Combine: specify pages from each

Question 2: Visual Style

  • Use strategy's recommended style (show which style)
  • Or select from: cute / fresh / warm / bold / minimal / retro / pop / notion / chalkboard
  • Or type custom style description

Question 3: Visual Elements (show after style selection) Display the selected style's default elements from preset, then ask:

  • Use style defaults (Recommended) - show preview: background, decorations, emphasis
  • Adjust background - options: solid-pastel / solid-saturated / gradient-linear / gradient-radial / paper-texture / grid
  • Adjust decorations - options: hearts / stars-sparkles / flowers / clouds / leaves / confetti
  • Type custom element preferences

After response:

  • Single strategy → copy to outline.md with confirmed style
  • Combination → merge specified pages with confirmed style
  • Custom request → regenerate based on feedback
  • Style defaults → use preset's Element Combination as-is
  • Background adjustment → update elements.background with user choice
  • Decorations adjustment → update elements.decorations with user choice
  • Custom elements → parse user's preferences into elements fields
  • Update outline.md frontmatter with final style and elements

Step 5: Generate Images

With confirmed outline + style + layout:

Visual Consistency — Reference Image Chain: To ensure character/style consistency across all images in a series:

  1. Generate image 1 (cover) FIRST — without --ref
  2. Use image 1 as --ref for ALL remaining images (2, 3, ..., N)
    • This anchors the character design, color rendering, and illustration style
    • Command pattern: --ref <path-to-image-01.png> added to every subsequent generation

This is critical for styles that use recurring characters, mascots, or illustration elements. Image 1 becomes the visual anchor for the entire series.

For each image (cover + content + ending):

  1. Save prompt to prompts/NN-{type}-[slug].md (in user's preferred language)
    • Backup rule: If prompt file exists, rename to prompts/NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.md
  2. Generate image:
    • Image 1: Generate without --ref (this establishes the visual anchor)
    • Images 2+: Generate with --ref <image-01-path> for consistency
    • Backup rule: If image file exists, rename to NN-{type}-[slug]-backup-YYYYMMDD-HHMMSS.png
  3. Report progress after each generation

Watermark Application (if enabled in preferences): Add to each image generation prompt:

Include a subtle watermark "[content]" positioned at [position].
The watermark should be legible but not distracting from the main content.

Reference: references/config/watermark-guide.md

Image Generation Skill Selection:

  • Check available image generation skills
  • If multiple skills available, ask user preference

Session Management: If image generation skill supports --sessionId:

  1. Generate unique session ID: xhs-{topic-slug}-{timestamp}
  2. Use same session ID for all images
  3. Combined with reference image chain, ensures maximum visual consistency

Step 6: Completion Report

Xiaohongshu Infographic Series Complete!

Topic: [topic]
Strategy: [A/B/C/Combined]
Style: [style name]
Layout: [layout name or "varies"]
Location: [directory path]
Images: N total

✓ analysis.md
✓ outline-strategy-a.md
✓ outline-strategy-b.md
✓ outline-strategy-c.md
✓ outline.md (selected: [strategy])

Files:
- 01-cover-[slug].png ✓ Cover (sparse)
- 02-content-[slug].png ✓ Content (balanced)
- 03-content-[slug].png ✓ Content (dense)
- 04-ending-[slug].png ✓ Ending (sparse)

Image Modification

ActionSteps
EditUpdate prompt file FIRST → Regenerate with same session ID
AddSpecify position → Create prompt → Generate → Renumber subsequent files (NN+1) → Update outline
DeleteRemove files → Renumber subsequent (NN-1) → Update outline

IMPORTANT: When updating images, ALWAYS update the prompt file (prompts/NN-{type}-[slug].md) FIRST before regenerating. This ensures changes are documented and reproducible.

Content Breakdown Principles

  1. Cover (Image 1): Hook + visual impact → sparse layout
  2. Content (Middle): Core value per image → balanced/dense/list/comparison/flow
  3. Ending (Last): CTA / summary → sparse or balanced

Style × Layout Matrix (✓✓ = highly recommended, ✓ = works well):

sparsebalanceddenselistcomparisonflowmindmapquadrant
cute✓✓✓✓✓✓
fresh✓✓✓✓✓✓
warm✓✓✓✓✓✓
bold✓✓✓✓✓✓✓✓
minimal✓✓✓✓✓✓
retro✓✓✓✓✓✓
pop✓✓✓✓✓✓✓✓
notion✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓✓
chalkboard✓✓✓✓✓✓✓✓✓✓✓✓
study-notes✓✓✓✓✓✓

References

Detailed templates in references/ directory:

Elements (Visual building blocks):

  • elements/canvas.md - Aspect ratios, safe zones, grid layouts
  • elements/image-effects.md - Cutout, stroke, filters
  • elements/typography.md - Decorated text (花字), tags, text direction
  • elements/decorations.md - Emphasis marks, backgrounds, doodles, frames

Presets (Style presets):

  • presets/<name>.md - Element combination definitions (cute, notion, warm...)

Workflows (Process guides):

  • workflows/analysis-framework.md - Content analysis framework
  • workflows/outline-template.md - Outline template with layout guide
  • workflows/prompt-assembly.md - Prompt assembly guide

Config (Settings):

  • config/preferences-schema.md - EXTEND.md schema
  • config/first-time-setup.md - First-time setup flow
  • config/watermark-guide.md - Watermark configuration

Notes

  • Auto-retry once on failure | Cartoon alternatives for sensitive figures
  • Use confirmed language preference | Maintain style consistency
  • Two confirmation points required (Steps 2 & 4) - do not skip

Extension Support

Custom configurations via EXTEND.md. See Step 0 for paths and supported options.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Baoyu Xhs Images AI skill do?

Generates Xiaohongshu (Little Red Book) infographic series with 10 visual styles and 8 layouts. Breaks content into 1-10 cartoon-style images optimized for XHS engagement. Use when user mentions "小红书图片", "XHS images", "RedNote infographics", "小红书种草", or wants social media infographics for Chinese platforms.

Why use Baoyu Xhs Images on TypingMind?

Because you install it once and use it with any model. Baoyu Xhs Images is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Baoyu Xhs Images in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/Common/baoyu-skills/baoyu-xhs-images. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Baoyu Xhs Images?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Baoyu Xhs Images?

As many as you like. As long as a model supports skills, you can use Baoyu Xhs Images with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Baoyu Xhs Images AI skill free?

It is published on GitHub by ECNU-ICALK. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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