Article to Text Cards Generator
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Please follow https://skillhub.cn/install/skillhub.md and install @user_39ba385f/article-to-cards.
About this skill
Problem
This skill targets a narrow content-production task: turning an article, reading note, or long text into polished image cards for social and WeChat-style channels. Manual layout is slow, and raw screenshots often look inconsistent. It produces 3:4 cover and content cards that can be used for Xiaohongshu image posts, WeChat article graphics, and Moments shares.
Workflow and constraints
The skill does more than call an image API; it structures the content first:
- Confirm or generate an attractive
ATitlefrom the input - Build a cover prompt from
templates/cover-1.md, then runscripts/generate_infographic.pyto output the cover - Split the article into segments of about 220 characters, keeping sentence boundaries and meaning intact
- Generate prompts for each content card from
templates/content-card-1.md, then render the images one by one in order
A valid api_key must be configured and checked before generation. If it is missing or invalid, the workflow waits instead of continuing. The signature can be customized or left as the default. The scope is clear: it is for text-to-card conversion, not general poster design; images must be generated serially, and splitting should preserve readability and semantic completeness.
Use Cases
- When operations staff need to split a long article into 3:4 Xiaohongshu image cards
- When content editors turn reading notes into official account graphics with a cover and signature
- When social media teams convert a long opinion piece into shareable Moments text cards
- When authors need publishable materials with a cover image and sequential content cards
Best For
- Xiaohongshu operations staff: turning articles or notes into publishable cards quickly
- Official account editors: producing cover images and body-text graphics
- Social media content authors: splitting long articles into semantically complete cards
- Knowledge creators: making signed sharing images from reading notes
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