AI Video Notes for Openclaw

Automatically convert any video URL into structured document, outline, or graphic-text notes using powerful AI models.

ide-rea
v1.1.0
Feb 13, 2026
7
6.8k
32

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ai-notes-ofvideo

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ai-notes-ofvideo 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 AI Video Notes?

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 Video Notes Use Cases

  • Transcribing and summarizing online lectures or webinars for study guides.
  • Converting video-based project updates into written documentation for team archives.
  • Repurposing video content into blog outlines or social media snippets.
  • Rapidly scanning lengthy tutorials to find specific information without watching the full video.

How AI Video Notes Works

  1. Task Submission: The user provides a public video URL to the ai_notes_task_create.py script which communicates with the Baidu AI endpoint.
  2. ID Assignment: The system returns a unique task_id used for tracking the asynchronous processing job.
  3. Status Polling: Using the ai_notes_poll.py utility, the skill queries the server every 3-5 seconds to check for task completion.
  4. Result Generation: Once the status transitions to completed (code 10002), the AI extracts the requested note types.
  5. Data Retrieval: The final structured notes are returned in document, outline, or graphic-text formats as specified by the user.

AI Video Notes Setup

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>

AI Video Notes Data Schema & Taxonomy

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"

AI Video Notes Advanced Features

  • Multi-Format Generation: Supports simultaneous generation of document notes, outlines, and graphic-text summaries within a single Openclaw Skills workflow.
  • Automatic Polling Logic: Includes a dedicated polling script with configurable retry attempts and interval timing to handle varying video lengths.
  • Granular Status Tracking: Provides real-time percentage updates and specific error handling for inaccessible URLs or processing timeouts.
  • CLI Integration: Ready-to-use Python scripts for seamless integration into larger automation pipelines.

SKILL.md


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