baoyu-image-cards

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

2|Updated May 30, 2026
One-click install
npx skills add https://github.com/virahitvin8/crafty-gis --skill baoyu-image-cards-virahitvin8
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baoyu-image-cards
Source: https://github.com/virahitvin8/crafty-gis/tree/main/GIT_STAR/assignment-generator/antigravity-skills-main/antigravity-skills-main/skills/baoyu-image-cards
Command: npx skills add https://github.com/virahitvin8/crafty-gis --skill baoyu-image-cards-virahitvin8

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Creating a consistent, engaging series of infographic cards for platforms like Xiaohongshu or WeChat requires design skills and repetitive manual work; this Skill automates content analysis, outline planning, and batched image generation with visual consistency. ## Core Features & Use Cases - Style 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. - Guided 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. - Visual Consistency: Uses an image-1 anchor chain and session IDs so character design and colors stay uniform across the whole series, with batch generation support. - Use Case: Paste a blog post about productivity tools and receive a 6-card Xiaohongshu-ready series with a cover, content cards, and a CTA ending in a cohesive hand-drawn style. ## Quick Start Ask the assistant to turn your article into a Xiaohongshu image card series, for example: generate image cards from this post using the knowledge-card preset.

Frequently Asked Questions about baoyu-image-cards

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

FAQPage Schema
How do I generate a Xiaohongshu image card series from an article?

Provide your source content and invoke the skill; it analyzes the content, recommends a style, layout, and card count, then asks for confirmation before generating. You can also pass options like --preset knowledge-card or --yes to skip confirmation.

What styles and layouts are available for infographic cards?

There are 12 styles (cute, notion, chalkboard, screen-print, sketch-notes, and others), 8 layouts (sparse, balanced, dense, list, comparison, flow, mindmap, quadrant), and 3 palette overrides (macaron, warm, neon) that combine freely.

Which image generation backends does the skill support?

It resolves backends in priority order: a user-specified backend, a saved preferred_image_backend in EXTEND.md, then auto-selection preferring runtime-native tools like Codex imagegen, falling back to installed backends such as baoyu-imagine. It never substitutes SVG or HTML rendering for raster output.

How does the skill keep colors and characters consistent across cards?

It generates the cover image first without references, then passes that image as a reference to every subsequent card, optionally combined with a shared session ID. This anchor chain prevents drift in character design and color rendering.

Can I fix wrong or garbled text on a generated card?

Yes, but only by editing the card's prompt file and regenerating with a new output path. The skill explicitly forbids patching bitmaps with ImageMagick, Pillow, or overlay scripts, preserving the flawed candidate for comparison.

What are the limitations of automated infographic generation?

Card count is capped at 1-10 per series, batch size clamps to 1-8, and output quality depends on the available raster backend. Dense layouts are incompatible with some styles like screen-print, which the compatibility matrix flags.