A powerful AI agent skill that transforms text and articles into aesthetically pleasing, structured knowledge card images for social media and educational sharing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install panda-knowledge-card
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install panda-knowledge-card using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is panda-knowledge-card?
The panda-knowledge-card skill is a sophisticated visual engine designed for the Openclaw Skills ecosystem. It specializes in decomposing long-form content or direct knowledge points into a series of structured cards. By combining various information layouts (like matrices, step-by-step guides, and Q&A) with distinct visual styles (such as Notion-style, hand-drawn notes, or chalkboard), it automates the creation of high-quality educational assets.
This tool is particularly valuable for creators on platforms like Little Red Book (XHS), WeChat, and Weibo, as it handles aspect ratios, character integration, and prompt engineering automatically. It acts as a bridge between raw information and viral-ready visual content, ensuring that complex knowledge is both digestible and visually engaging.
panda-knowledge-card Use Cases
- Converting long-form technical articles into bite-sized social media carousels.
- Creating structured study guides and exam revision notes with the study-notes style.
- Generating professional FAQ and Q&A cards for customer support or product education.
- Visualizing complex frameworks using SWOT or 2x2 matrix layouts for business presentations.
- Personalizing educational content with integrated character avatars and consistent branding.
How panda-knowledge-card Works
- Content Analysis: The skill extracts core knowledge points from a provided markdown file or manual input.
- Configuration Confirmation: Uses AskUserQuestion to let the user select presets, styles (up to 9 types), and layouts (up to 10 types).
- Outline Generation: Generates an outline.md file defining the sequence, titles, and actions for each card.
- Prompt Engineering: Automatically constructs detailed image generation prompts for each card, incorporating character references if configured.
- Image Synthesis: Calls image generation tools to produce the final PNG series.
- Reporting: Provides a final summary of all generated assets including the outline and source content.
panda-knowledge-card Setup
To get started with this skill within the Openclaw Skills environment, ensure your workspace is configured:
# Check for required configuration file
test -f .panda-skills/panda-knowledge-card/EXTEND.md || echo "Setup required"
# Run a basic conversion from an article
/panda-knowledge-card article.md --style notion --layout tips
# Use a preset for quick formatting
/panda-knowledge-card article.md --preset study-guide
panda-knowledge-card Data Schema & Taxonomy
The skill organizes output into a structured directory for easy management:
| File/Folder | Description |
|---|---|
source-{slug}.md |
The original input content processed. |
outline.md |
The logical structure and metadata for the card series. |
prompts/ |
Subdirectory containing individual MD files for each card's AI prompt. |
01-cover-{slug}.png |
The generated cover image for the series. |
NN-{layout}-{slug}.png |
Sequentially numbered cards using the specified layout. |
panda-knowledge-card Advanced Features
- Preset Shortcuts: Use --preset to instantly apply pre-defined layout and style combinations.
- Character Integration: Supports narrator, participant, and decorator roles to blend personal avatars into the card designs.
- Multi-Platform Optimization: Tailor aspect ratios for XHS (3:4), WeChat (16:9), and more using the --platform flag.
- Dynamic Updates: Edit existing cards by updating specific prompt files and regenerating only the necessary assets.
- Language Support: Automatic detection or manual override for card text in multiple languages.
SKILL.md
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