Never

Hot Topics

資料分析v1.1.0
作者:Never更新於 2026-05-11hot-topics@clawhub_neverchenx/hot-topics
資料洞察網頁抓取競品分析

據 AlphaMoat 統計,截至 2026-09,Hot Topics 累計下載 1,732 次、獲 1 個星標,在全部 5,078 個 AI 技能中排名第 4,626 位,在「資料分析」分類(399 個)中排名第 360 位。

累計安裝
110
累計下載
1732
星標
1
全站排名
#4,626
全站前 92% · 「資料分析」前 91%
平台累計安裝累計下載星標評論
ClawHub ↗371517--
SkillHub ↗11017321—

各平台的計數口徑不同,統計時間不一致。

這個技能是做什麼的

從微博、知乎、百度、抖音、頭條和嗶哩嗶哩獲取熱門搜尋、問題、影片或新聞,可單個平台查詢,也可彙總多平台話題。資料更新與快取時間因平台而異,使用時應處理網路錯誤並提供平台背景。

資料釋出於 2026-10-29

可以用來做什麼

  • 檢視單個平台當前熱搜
  • 彙總並比較多個社交平台的話題

什麼時候用

  • 需要了解中國社交平台正在討論什麼時
  • 需要製作趨勢摘要或按關鍵詞查詢話題時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

查詢微博和知乎當前的熱門話題並簡要總結
比較這些平台共有的趨勢關鍵詞

月度資料趨勢

累計下載1732
300106918382026-03 · 累計下載 4062026-05 · 累計下載 8272026-06 · 累計下載 10152026-07 · 累計下載 12612026-08 · 累計下載 14202026-09 · 累計下載 173226-0326-09
星標1
0112026-03 · 星標 -2026-05 · 星標 12026-06 · 星標 12026-07 · 星標 12026-08 · 星標 12026-09 · 星標 126-0326-09

2026-09 起統計方法調整:同名技能按作者分別統計,並覆蓋全部技能。圖中虛線為調整前的月份,與之後的資料不直接比較,也不計算跨越調整的增長。

月份累計下載環比星標
2026-091732—1
2026-081420+12.6%1
2026-071261+24.2%1
2026-061015+22.7%1
2026-05827—1
2026-03406—-

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 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
展開全部(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)

「資料分析」分類下的熱門技能

資料月份:2026-09 · 下載/星標/安裝數聚合自公開技能註冊庫(ClawHub、SkillHub),按月更新。口徑說明見資料方法。