Overview
The Kuaishou short video operations growth assistant is used to answer "how to operate Kuaishou short videos", analyze comment feedback, view sentiment distribution, and view discussion highlights. It is suitable for content creators, operators, brands, and e-commerce users to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as video/note links and pasted Kuaishou share links to organize key context and output sentiment, personas and discussion focus, public opinion and conversion leads, and optimization suggestions, making it easy to continue execution, review, or delivery.
When to Use
Applicable Scenarios
- The user provides a Kuaishou content link
- The user wants to analyze sentiment, personas, and operational insights
How to Call
After running the script, three steps are automatically completed: parse the share link, create an analysis task, and poll until the task is completed.
Command Example
Analyze Kuaishou video comments
python3 scripts/run.py --params '{"link":"https://www.kuaishou.com/short-video/3x8abcde12345678"}'
Parameter Description
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
videoUrl |
string | Yes | - | Paste the Kuaishou share link |
See the complete machine-readable parameter structure at references/form-schema.json。
Parameter Value Reference
The current skill has no categorical parameters that require an additional lookup table.
Supported Input Formats
Paste a Kuaishou share link or work ID; all of the following formats can be tried directly:
https://www.kuaishou.com/short-video/3x123456789https://v.kuaishou.com/xxxxxx3x123456789
Example Request
The example parameters below can be passed directly to scripts/run.py , and the script will automatically complete parsing the link, creating the task, and polling for results.
python3 scripts/run.py --params '{"link":"https://www.kuaishou.com/short-video/3x8abcde12345678"}'
Equivalent --params JSON：
{
"link": "https://www.kuaishou.com/short-video/3x8abcde12345678"
}
Example Return Result
{
"success": true,
"data": {
"task": {
"id": "task_demo_123",
"platform": "kuaishou",
"contentId": "7505866362912425270",
"contentTitle": "快手运营拆解示例",
"status": "completed",
"progress": 100,
"progressMessage": "分析完成",
"result": {
"summary": {
"analyzedComments": 168,
"timeRange": {
"start": "2026-04-23T00:00:00.000Z",
"end": "2026-04-24T00:00:00.000Z"
},
"platform": "kuaishou",
"contentId": "7505866362912425270",
"contentTitle": "快手运营拆解示例",
"analyzedAt": "2026-04-24T11:35:00.000Z"
},
"aiInsights": {
"summary": "评论区更集中在真实体验、成交效果和是否适合本地复制，适合强化案例感和转化导向。",
"sentiment": {
"trend": "mixed",
"label": "正向为主",
"riskLevel": "low"
},
"operationAdvice": [
{
"category": "content",
"priority": "P1",
"title": "加本地案例",
"detail": "补一个真实门店或本地生意案例，把方法和结果讲透。",
"reason": "快手用户更信任真实案例和直接结果，案例化表达更容易推动转化。"
}
]
},
"labeledComments": [
{
"id": "comment_1",
"content": "这个做法在我们本地店也能用吗？想看真实成交案例。",
"sentiment": "positive",
"likes": 26
}
]
}
}
}
}
Deliverables
- Overall comment section conclusion: helps quickly determine content reputation, discussion focus, and potential public opinion risks.
- User feedback breakdown: extracts high-frequency demands, typical comments, sentiment tendencies, and user persona clues.
- Operational action suggestions: provides directions for subsequent content optimization, comment replies, series topic selection, or conversion承接.
Suggestions for Using the Results
- First look at the overall sentiment and one-sentence summary to determine whether the content feedback is positive, controversial, wait-and-see, or risky.
- Then look at high-frequency comments and user personas to identify the issues users truly care about, purchase/interaction intent, and content gaps.
- Finally, turn the operational suggestions into the next content topic, comment reply strategy, or private domain承接 action.
Preparation Before Running
AISKILLS_BASE_URL: Defaulthttps://ai-skills.aiAISKILLS_API_KEY: Required, used for authenticated callsAISKILLS_TENANT_ID: Defaultdefault