Never

Hot Topics

数据分析v1.1.0
作者:Never更新于 2026-05-11hot-topics@clawhub_neverchenx/hot-topics
数据洞察网页抓取竞品分析

据 AlphaMoat 统计,截至 2026-09,Hot Topics 累计下载 1,732 次、获 1 个星标,在全部 5,078 个 AI 技能中排名第 4,626 位,在「数据分析」分类(399 个)中排名第 360 位。

累计安装
110
累计下载
1,732
星标
1
全站排名
#4,626
全站前 92% · 「数据分析」前 91%
平台累计安装累计下载星标评论
ClawHub ↗371,517--
SkillHub ↗1101,7321—

各平台的计数口径不同,统计时间不一致。

这个技能是做什么的

从微博、知乎、百度、抖音、头条和哔哩哔哩获取热门搜索、问题、视频或新闻,可单个平台查询,也可汇总多平台话题。数据更新与缓存时间因平台而异,使用时应处理网络错误并提供平台背景。

资料发布于 2026-10-29

可以用来做什么

  • 查看单个平台当前热搜
  • 汇总并比较多个社交平台的话题

什么时候用

  • 需要了解中国社交平台正在讨论什么时
  • 需要制作趋势摘要或按关键词查找话题时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

查询微博和知乎当前的热门话题并简要总结
比较这些平台共有的趋势关键词

月度数据趋势

累计下载1,732
3001,0691,8382026-03 · 累计下载 4062026-05 · 累计下载 8272026-06 · 累计下载 1,0152026-07 · 累计下载 1,2612026-08 · 累计下载 1,4202026-09 · 累计下载 1,73226-0326-09
星标1
0112026-03 · 星标 -2026-05 · 星标 12026-06 · 星标 12026-07 · 星标 12026-08 · 星标 12026-09 · 星标 126-0326-09

2026-09 起统计方法调整:同名技能按作者分别统计,并覆盖全部技能。图中虚线为调整前的月份,与之后的数据不直接比较,也不计算跨越调整的增长。

月份累计下载环比星标
2026-091,732—1
2026-081,420+12.6%1
2026-071,261+24.2%1
2026-061,015+22.7%1
2026-05827—1
2026-03406—-

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

8.4 KB · ClawHub v1.1.0
---
name: hot-topics
description: Get real-time trending topics and hot searches from major Chinese social media platforms including Weibo, Zhihu, Baidu, Douyin, Toutiao, and Bilibili. Use when users want to know trending topics, hot searches, or popular content on Chinese social media platforms.
license: MIT
version: 1.1.0
metadata:
  author: vikiboss
  api_base: https://60s.viki.moe/v2
  tags:
    - trending
展开全部(共 336 行)
    - social-media
    - hot-search
    - china
---

# Hot Topics & Trending Content Skill

This skill helps AI agents fetch trending topics and hot searches from major Chinese social media and content platforms.

## When to Use This Skill

Use this skill when users:
- Want to know what's trending on social media
- Ask about hot topics or viral content
- Need to understand current popular discussions
- Want to track trending topics across platforms
- Research social media trends

## Supported Platforms

1. **Weibo** - Chinese Twitter equivalent
2. **Zhihu** - Chinese Quora equivalent
3. **Baidu** - China's largest search engine
4. **Douyin** - TikTok China
5. **Toutiao** - ByteDance news aggregator
6. **Bilibili** - Chinese YouTube equivalent

## API Endpoints

| Platform | Endpoint | Description |
|----------|----------|-------------|
| Weibo | `/v2/weibo` | Weibo hot search topics |
| Zhihu | `/v2/zhihu` | Zhihu trending questions |
| Baidu | `/v2/baidu/hot` | Baidu hot searches |
| Douyin | `/v2/douyin` | Douyin trending videos |
| Toutiao | `/v2/toutiao` | Toutiao hot news |
| Bilibili | `/v2/bili` | Bilibili trending videos |

All endpoints use **GET** method and base URL: `https://60s.viki.moe/v2`

## How to Use

### Get Weibo Hot Searches

```python
import requests

def get_weibo_hot():
    response = requests.get('https://60s.viki.moe/v2/weibo')
    return response.json()

hot_topics = get_weibo_hot()
print("Weibo Hot Search:")
for i, topic in enumerate(hot_topics['data'][:10], 1):
    print(f"{i}. {topic['title']} - Heat: {topic.get('hot', 'N/A')}")
```

### Get Zhihu Hot Topics

```python
def get_zhihu_hot():
    response = requests.get('https://60s.viki.moe/v2/zhihu')
    return response.json()

topics = get_zhihu_hot()
print("Zhihu Trending:")
for topic in topics['data'][:10]:
    print(f"- {topic['title']}")
```

### Get Multiple Platform Trends

```python
def get_all_hot_topics():
    platforms = {
        'weibo': 'https://60s.viki.moe/v2/weibo',
        'zhihu': 'https://60s.viki.moe/v2/zhihu',
        'baidu': 'https://60s.viki.moe/v2/baidu/hot',
        'douyin': 'https://60s.viki.moe/v2/douyin',
        'bili': 'https://60s.viki.moe/v2/bili'
    }

    results = {}
    for name, url in platforms.items():
        try:
            response = requests.get(url)
            results[name] = response.json()
        except:
            results[name] = None

    return results

# Usage
all_topics = get_all_hot_topics()
```

### Simple bash examples

```bash
# Weibo hot search
curl "https://60s.viki.moe/v2/weibo"

# Zhihu trending
curl "https://60s.viki.moe/v2/zhihu"

# Baidu hot search
curl "https://60s.viki.moe/v2/baidu/hot"

# Douyin trending
curl "https://60s.viki.moe/v2/douyin"

# Bilibili trending
curl "https://60s.viki.moe/v2/bili"
```

## Response Format

Responses typically include:

```json
{
  "data": [
    {
      "title": "Topic title",
      "url": "https://...",
      "hot": "1234567",
      "rank": 1
    },
    ...
  ],
  "update_time": "2024-01-15 14:00:00"
}
```

## Example Interactions

### User: "What's hot on Weibo right now?"

```python
hot = get_weibo_hot()
top_5 = hot['data'][:5]

response = "Weibo Hot Search TOP 5:\n\n"
for i, topic in enumerate(top_5, 1):
    response += f"{i}. {topic['title']}\n"
    response += f"   Heat: {topic.get('hot', 'N/A')}\n\n"
```

### User: "What are people discussing on Zhihu?"

```python
zhihu = get_zhihu_hot()
response = "Zhihu Current Hot Topics:\n\n"
for topic in zhihu['data'][:8]:
    response += f"- {topic['title']}\n"
```

### User: "Compare trends across platforms"

```python
def compare_platform_trends():
    all_topics = get_all_hot_topics()

    summary = "Platform Trends Overview\n\n"

    platforms = {
        'weibo': 'Weibo',
        'zhihu': 'Zhihu',
        'baidu': 'Baidu',
        'douyin': 'Douyin',
        'bili': 'Bilibili'
    }

    for key, name in platforms.items():
        if all_topics.get(key):
            top_topic = all_topics[key]['data'][0]
            summary += f"{name}: {top_topic['title']}\n"

    return summary
```

## Best Practices

1. **Rate Limiting**: Don't call APIs too frequently, data updates every few minutes
2. **Error Handling**: Always handle network errors and invalid responses
3. **Caching**: Cache results for 5-10 minutes to reduce API calls
4. **Top N**: Usually showing top 5-10 items is sufficient
5. **Context**: Provide platform context when showing trending topics

## Common Use Cases

### 1. Daily Trending Summary

```python
def get_daily_trending_summary():
    weibo = get_weibo_hot()
    zhihu = get_zhihu_hot()

    summary = "Today's Hot Topics\n\n"
    summary += "[Weibo Hot Search]\n"
    summary += "\n".join([f"{i}. {t['title']}"
                          for i, t in enumerate(weibo['data'][:3], 1)])
    summary += "\n\n[Zhihu Trending]\n"
    summary += "\n".join([f"{i}. {t['title']}"
                          for i, t in enumerate(zhihu['data'][:3], 1)])

    return summary
```

### 2. Find Common Topics Across Platforms

```python
def find_common_topics():
    all_topics = get_all_hot_topics()

    # Extract titles from all platforms
    all_titles = []
    for platform_data in all_topics.values():
        if platform_data and 'data' in platform_data:
            all_titles.extend([t['title'] for t in platform_data['data']])

    # Simple keyword matching (can be improved)
    from collections import Counter
    keywords = []
    for title in all_titles:
        keywords.extend(title.split())

    common = Counter(keywords).most_common(10)
    return f"Hot Keywords: {', '.join([k for k, _ in common])}"
```

### 3. Platform-specific Trending Alert

```python
def check_trending_topic(keyword):
    platforms = ['weibo', 'zhihu', 'baidu']
    found_in = []

    for platform in platforms:
        url = f'https://60s.viki.moe/v2/{platform}' if platform != 'baidu' else 'https://60s.viki.moe/v2/baidu/hot'
        data = requests.get(url).json()

        for topic in data['data']:
            if keyword.lower() in topic['title'].lower():
                found_in.append(platform)
                break

    if found_in:
        return f"Topic '{keyword}' is trending on: {', '.join(found_in)}"
    return f"Topic '{keyword}' is not trending on major platforms"
```

### 4. Trending Content Recommendation

```python
def recommend_content_by_interest(interest):
    """Recommend trending content based on user interest"""
    all_topics = get_all_hot_topics()

    recommendations = []
    for platform, data in all_topics.items():
        if data and 'data' in data:
            for topic in data['data']:
                if interest.lower() in topic['title'].lower():
                    recommendations.append({
                        'platform': platform,
                        'title': topic['title'],
                        'url': topic.get('url', '')
                    })

    return recommendations
```

## Platform-Specific Notes

### Weibo
- Updates frequently (every few minutes)
- Includes heat score
- Some topics may have tags like "hot" or "new"

### Zhihu
- Focuses on questions and discussions
- Usually more in-depth topics
- Great for understanding what people are curious about

### Baidu
- Reflects search trends
- Good indicator of mainstream interest
- Includes various categories

### Douyin
- Video-focused trending
- Entertainment and lifestyle content
- Young audience interests

### Bilibili
- Video platform trends
- ACG (Anime, Comic, Games) culture
- Creative content focus

## Troubleshooting

### Issue: Empty or null data
- **Solution**: API might be updating, retry after a few seconds
- Check network connectivity

### Issue: Old timestamps
- **Solution**: Data is cached, this is normal
- Most platforms update every 5-15 minutes

### Issue: Missing platform
- **Solution**: Ensure correct endpoint URL
- Check API documentation for changes

## Changelog

| Version | Date | Changes |
|---------|------|---------|
| v1.1.0 | 2025-03-15 | Translated to English |
| v1.0.0 | 2024-01-15 | Initial release |

## Related Resources

- [60s API Documentation](https://docs.60s-api.viki.moe)
- [GitHub Repository](https://github.com/vikiboss/60s)

「数据分析」分类下的热门技能

数据月份:2026-09 · 下载/星标/安装数聚合自公开技能注册库(ClawHub、SkillHub),按月更新。口径说明见数据方法。