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.