AI Video Notes for Openclaw

An AI-powered utility that automatically parses video URLs to generate comprehensive manuscript, outline, and graphic notes.

baiduqianfangroup
v1.0.0
Feb 5, 2026
2
3.8k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install ai-notes-video

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-video 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?

AI Video Notes is a sophisticated tool designed for Openclaw Skills that automates the process of extracting knowledge from video content. By simply providing a video download address, the tool utilizes Baidu's AI capabilities to download, analyze, and synthesize video data into three distinct, high-quality note formats. This skill is essential for developers and researchers who need to turn long-form video content into searchable, structured text and visual mind maps without manual transcription.

Whether you are processing educational content or corporate meetings, this skill streamlines the workflow by handling complex asynchronous tasks and providing granular status updates until the final notes are ready for consumption.

AI Video Notes Use Cases

  • Creating structured summaries and mind maps for long-form educational webinars or lectures.
  • Generating graphic-and-text documentation for video tutorials to be used in blog posts or internal wikis.
  • Converting recorded team meetings into manuscript notes for archival and searchability.
  • Developing automated content pipelines that extract key insights from video repositories for Openclaw Skills users.

How AI Video Notes Works

  1. The user initiates a request by calling the AINotesTaskCreate API with a valid video download URL.
  2. The system triggers a Python script that communicates with Baidu's AI backend and returns a unique task identifier.
  3. The agent then utilizes the AINotesTaskQuery API to monitor the progress of the processing task.
  4. The skill interprets status codes where 10000 indicates the task is still in progress and 10002 signifies successful completion.
  5. Upon completion, the tool retrieves and categorizes the results into three specific templates: manuscript notes, structured outlines (including mind maps), and graphic-and-text summaries.

AI Video Notes Setup

To integrate this tool with your Openclaw Skills environment, ensure you have the necessary credentials and runtime configured.

  1. Set your Baidu API key as an environment variable:
export BAIDU_API_KEY='your_api_key_here'
  1. Create a new processing task by passing a video URL to the creation script:
python3 scripts/ai_notes_task_create.py 'https://example.com/video.mp4'
  1. Query the status and retrieve results using the task ID provided in the previous step:
python3 scripts/ai_notes_task_query.py 'your-unique-task-id'

AI Video Notes Data Schema & Taxonomy

The skill returns structured data categorized by template numbers (tpl_no). Each note type is accessible within the task result detail object:

Template ID (tpl_no) Note Type Content Details
1 Manuscript Full document-style transcript and notes
2 Outline Structured hierarchy; includes a Mind Map marked by 'Mind' tags
3 Graphic & Text Visual-rich notes combining text with key video frames

Status tracking is handled via integer codes: 10002 (Success), 10000 (Processing), and other codes for specific failure states.

AI Video Notes Advanced Features

  • Multi-format output support allowing users to choose between text-heavy manuscripts or visual mind maps.
  • Asynchronous task management capable of handling large video files via background processing.
  • Integrated mind map generation using specialized 'Mind' tags within the outline structure.
  • Robust error handling and status polling logic designed for Openclaw Skills automation workflows.

SKILL.md


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