Never

Hot Topics

Data Analysisv1.1.0
By NeverUpdated 2026-05-11hot-topics@clawhub_neverchenx/hot-topics
Data InsightsWeb ScrapingCompetitor Analysis

According to AlphaMoat, as of 2026-09, Hot Topics has 1,732 downloads and 1 stars — ranked #4,626 of 5,078 AI skills overall, and #360 of 399 in Data Analysis.

Installs
110
Downloads
1.7K
Stars
1
Overall Rank
#4,626
Top 92% overall · Top 91% in Data Analysis
PlatformInstallsDownloadsStarsComments
ClawHub ↗371.5K--
SkillHub ↗1101.7K1—

Platforms count differently and update at different times.

What this skill does

It fetches popular searches, questions, videos, or news from Weibo, Zhihu, Baidu, Douyin, Toutiao, and Bilibili. It can query one platform or combine topics across platforms. Update and cache timing varies; handle network errors and provide platform context when presenting results.

Profile published 2026-10-29

What you can do with it

  • Check current hot searches on one platform
  • Summarize and compare topics across social platforms

When to use it

  • When finding what people are discussing on Chinese social media
  • When creating a trend summary or searching topics by keyword

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Fetch current hot topics from Weibo and Zhihu and summarize them
Compare these platforms for shared trending keywords

Monthly Trend

Downloads1.7K
3001.1K1.8K2026-03 · Downloads 4062026-05 · Downloads 8272026-06 · Downloads 1.0K2026-07 · Downloads 1.3K2026-08 · Downloads 1.4K2026-09 · Downloads 1.7K26-0326-09
Stars1
0112026-03 · Stars -2026-05 · Stars 12026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-091.7K—1
2026-081.4K+12.6%1
2026-071.3K+24.2%1
2026-061.0K+22.7%1
2026-05827—1
2026-03406—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 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
Show all (336 lines)
    - 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)

Popular in Data Analysis

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.