Automatically convert any video URL into structured document, outline, or graphic-text notes using powerful AI models.
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npx clawhub@latest install ai-notes-ofvideo
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~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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Help me install ai-notes-ofvideo using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
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The AI Video Notes skill is a specialized integration for Openclaw Skills designed to streamline knowledge extraction from video content. By leveraging the Baidu AI API, this skill processes public video URLs and generates three distinct styles of summaries: detailed documents, high-level outlines, and graphic-text summaries. It provides a robust framework for developers to automate the transition from video media to searchable, structured text data.
This tool is particularly valuable for those who need to process large volumes of video information without the overhead of manual transcription. As part of the Openclaw Skills ecosystem, it offers a standardized workflow for task creation, status polling, and result retrieval, ensuring a reliable developer experience for AI-driven content processing.
ai_notes_task_create.py script which communicates with the Baidu AI endpoint.task_id used for tracking the asynchronous processing job.ai_notes_poll.py utility, the skill queries the server every 3-5 seconds to check for task completion.To get started with this skill in the Openclaw Skills environment, ensure you have Python 3 installed and your API credentials configured.
# Set your required API key
export BAIDU_API_KEY='your_api_key_here'
# Create a new video processing task
python3 scripts/ai_notes_task_create.py 'https://example.com/video.mp4'
# Use the automated polling script to retrieve notes
python3 scripts/ai_notes_poll.py <task_id>
The skill manages video data and note outputs using the following schema:
| Property | Description | Example/Value |
|---|---|---|
task_id |
Unique UUID for the process | "uuid-string" |
status |
Current state of the note generation | 10000 (Processing), 10002 (Done) |
tpl_no |
Note template identifier | 1 (Doc), 2 (Outline), 3 (Graphic) |
contents |
Array of generated text segments | ["Note content..."] |
video_url |
Source of the video content | "https://example.com/video.mp4" |
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