10-of-my-most-popular-text-to-image-series-prompts-78b0897e
generate a bunch of images, then you curate the results to handpick the best ones
Generate AI-powered notes from videos (document, outline, or graphic-text formats)
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install ide-rea/ai-notes-ofvideo打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Generate structured notes from video URLs using Baidu AI. Supports three note formats.
| Code | Status | Action |
|---|---|---|
| 10000 | In Progress | Continue polling |
| 10002 | Completed | Return results |
| Other | Failed | Show error |
| Type | Description |
|---|---|
| 1 | Document notes |
| 2 | Outline notes |
| 3 | Graphic-text notes |
Endpoint: POST /v2/tools/ai_note/task_create
Parameters:
video_url (required): Public video URLExample:
python3 scripts/ai_notes_task_create.py 'https://example.com/video.mp4'
Response:
{
"task_id": "uuid-string"
}
Endpoint: GET /v2/tools/ai_note/query
Parameters:
task_id (required): Task ID from create endpointExample:
python3 scripts/ai_notes_task_query.py "task-id-here"
Response (Completed):
{
"status": 10002,
"notes": [
{
"tpl_no": "1",
"contents: ["Note content..."]
}
]
}
task_id
python3 scripts/ai_notes_task_query.py <task_id>
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
```...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# AI Video Notes
Generate structured notes from video URLs using Baidu AI. Supports three note formats.
## Workflow
1. **Create Task**: Submit video URL → get task ID
2. **Poll Status**: Query task every 3-5 seconds until completion
3. **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**:
```bash
python3 scripts/ai_notes_task_create.py 'https://example.com/video.mp4'
```
**Response**:
```json
{
"task_id": "uuid-string"
}
```
### Query Task
**Endpoint**: `GET /v2/tools/ai_note/query`
**Parameters**:
- `task_id` (required): Task ID from create endpoint
**Example**:
```bash
python3 scripts/ai_notes_task_query.py "task-id-here"
```
**Response** (Completed):
```json
{
"status": 10002,
"notes": [
{
"tpl_no": "1",
"contents: ["Note content..."]
}
]
}
```
## Polling Strategy
### Option 1: Manual Polling
1. Create task → store `task_id`
2. Query every 3-5 seconds:
```bash
python3 scripts/ai_notes_task_query.py <task_id>
```
3. Show progress updates:
- Status 10000: Processing...
- Status 10002: Completed
4. Stop after 30-60 seconds (video length dependent)
### Option 2: Auto Polling (Recommended)
Use the polling script for automatic status updates:
```bash
python3 scripts/ai_notes_poll.py <task_id> [max_attempts] [interval_seconds]
```
**Examples**:
```bash
# 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
```...generate a bunch of images, then you curate the results to handpick the best ones
generate a bunch of images, then you curate the results to handpick the best ones
Productivity system based on Maya calendar with 13 natural tones for project management and personal development
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