baoyu-xhs-images

Generates Xiaohongshu infographic image card series with configurable styles, layouts, and palettes.

2|Updated May 30, 2026

Search Tags:#social media #prompt engineering #image generation #infographic #xiaohongshu #content cards #visual style

Ready to run

npx skills add https://github.com/virahitvin8/crafty-gis --skill baoyu-xhs-images-virahitvin8

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: baoyu-xhs-images
Source: https://github.com/virahitvin8/crafty-gis/tree/main/GIT_STAR/assignment-generator/antigravity-skills-main/antigravity-skills-main/skills/baoyu-xhs-images
Command: npx skills add https://github.com/virahitvin8/crafty-gis --skill baoyu-xhs-images-virahitvin8

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Turning long-form content into engaging social media image cards requires design decisions about style, layout, and color that most creators struggle to make consistently across a multi-image series. ## Core Features & Use Cases - Configurable Visual System: Combines 12 visual styles, 8 information layouts, and 3 color palettes, plus 26 ready-made presets for scenarios like knowledge cards, tutorials, and product reviews. - Structured Workflow: Analyzes source content, recommends a strategy (story-driven, information-dense, or visual-first), confirms the plan with the user, then generates 1-10 cards with an image-1 anchor chain for visual consistency. - Use Case: Paste a blog post about productivity tools and receive a 6-card Xiaohongshu series with a hook cover, dense knowledge cards in notion style, and a call-to-action ending card. ## Quick Start Ask the assistant to turn your article into a Xiaohongshu image card series using the baoyu-xhs-images skill with the knowledge-card preset.

Frequently Asked Questions about baoyu-xhs-images

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate Xiaohongshu image cards from an article?▼

Provide your source content and invoke the skill; it analyzes the content, recommends a style, layout, and image count, then asks for confirmation before generating. Each card's prompt is saved to a prompts/ directory before any image backend is called.

What styles and layouts are available for infographic cards?▼

The skill offers 12 styles including cute, notion, chalkboard, and screen-print, plus 8 layouts such as sparse, dense, list, comparison, flow, mindmap, and quadrant. You can also use 26 presets like knowledge-card or tutorial that bundle style and layout together.

Which image generation backends does the skill support?▼

It resolves backends in priority order: a runtime-native tool such as Codex imagegen, then codex-imagegen via the codex CLI, then other native or installed backends like baoyu-image-gen. You can pin a backend with preferred_image_backend in EXTEND.md.

How does the skill keep images visually consistent across a series?▼

It generates the cover image first without references, then passes that image as a reference to every subsequent card. This image-1 anchor chain keeps character design, illustration style, and color rendering consistent across the series.

Can I skip the confirmation step and generate images directly?▼

Yes, pass --yes or explicitly say to skip confirmation in your request. The skill then uses EXTEND.md preferences or built-in defaults and proceeds with the recommended plan without prompting.

Why does the skill refuse to fix text in a generated image?▼

The skill prohibits programmatic overlays like ImageMagick or Pillow to patch rendered text on bitmaps. If text is wrong, it regenerates from a corrected prompt file so the flawed candidate is preserved for comparison.