ai-notes-ofvideo
The video AI notes tool is provided by Baidu. Based on the video download address provided by the user, it downloads and parses the video, and finally generates AI notes corresponding to the video (a total of three types of notes can be generated like document notes, outline notes, and graphic-text notes).
Install
mkdir -p .claude/skills/ai-notes-ofvideo && curl -L -o skill.zip "https://mcp.directory/api/skills/download/5584" && unzip -o skill.zip -d .claude/skills/ai-notes-ofvideo && rm skill.zipInstalls to .claude/skills/ai-notes-ofvideo
About this skill
AI Video Notes
Generate structured notes from video URLs using Baidu AI. Supports three note formats.
Workflow
- Create Task: Submit video URL → get task ID
- Poll Status: Query task every 3-5 seconds until completion
- Get Results: Retrieve generated notes when status = 10002
Status Codes
| Code | Status | Action |
|---|---|---|
| 10000 | In Progress | Continue polling |
| 10002 | Completed | Return results |
| Other | Failed | Show error |
Note Types
| Type | Description |
|---|---|
| 1 | Document notes |
| 2 | Outline notes |
| 3 | Graphic-text notes |
APIs
Create Task
Endpoint: POST /v2/tools/ai_note/task_create
Parameters:
video_url(required): Public video URL
Example:
python3 scripts/ai_notes_task_create.py 'https://example.com/video.mp4'
Response:
{
"task_id": "uuid-string"
}
Query Task
Endpoint: GET /v2/tools/ai_note/query
Parameters:
task_id(required): Task ID from create endpoint
Example:
python3 scripts/ai_notes_task_query.py "task-id-here"
Response (Completed):
{
"status": 10002,
"notes": [
{
"tpl_no": "1",
"contents: ["Note content..."]
}
]
}
Polling Strategy
Option 1: Manual Polling
- Create task → store
task_id - Query every 3-5 seconds:
python3 scripts/ai_notes_task_query.py <task_id> - Show progress updates:
- Status 10000: Processing...
- Status 10002: Completed
- Stop after 30-60 seconds (video length dependent)
Option 2: Auto Polling (Recommended)
Use the polling script for automatic status updates:
python3 scripts/ai_notes_poll.py <task_id> [max_attempts] [interval_seconds]
Examples:
# Default: 20 attempts, 3-second intervals
python3 scripts/ai_notes_poll.py "task-id-here"
# Custom: 30 attempts, 5-second intervals
python3 scripts/ai_notes_poll.py "task-id-here" 30 5
Output:
- Shows real-time progress:
[1/20] Processing... 25% - Auto-stops when complete
- Returns formatted notes with type labels
Error Handling
- Invalid URL: "Video URL not accessible"
- Processing error: "Failed to parse video"
- Timeout: "Video too long, try again later"
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