Hot Topics

vikiboss/60s-skills/skills/hot-topics

作者 vikibossa05168e376d8MIT47 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫7 個月前更新

获取微博、知乎、百度、抖音、今日头条、B站等主流中文平台的实时热搜榜单和热门话题。Use when users want to know trending topics, hot searches, or popular content on Chinese social media platforms.

AI 產生的概覽

取得微博、知乎、百度、抖音、今日頭條、B站等主流中文平台的即時熱搜榜單和熱門話題。

功能
這個技能會引導代理呼叫 60s API,取得六個中文社群與內容平台的即時熱搜榜單和熱門話題。文件列出微博、知乎、百度、抖音、今日頭條和 B 站的 GET 端點、包含標題、連結、熱度和排名等欄位的 JSON 回應格式,以及取得單一或多個平台資料的範例程式碼。它也建議限流、將結果快取 5 到 10 分鐘、只顯示前 5 到 10 筆,並支援跨平台比較或依關鍵字比對話題。
適用情境
當使用者想了解中文社群平台上的熱門內容、需要熱搜榜單或爆紅內容,或想比較各平台的熱門討論時使用。也適合跨平台追蹤某個關鍵字或彙整每日熱點。
執行需求
需要能連線到 的 60s API;範例使用 Python 的 requests 函式庫或 curl。未提及憑證,技能不含指令碼,只有說明文件。

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 (微博) - Chinese Twitter equivalent
  2. Zhihu (知乎) - Chinese Quora equivalent
  3. Baidu (百度) - China's largest search engine
  4. Douyin (抖音) - TikTok China
  5. Toutiao (今日头条) - ByteDance news aggregator
  6. Bilibili (B站) - Chinese YouTube equivalent

API Endpoints

PlatformEndpointDescription
Weibo/v2/weiboWeibo hot search topics
Zhihu/v2/zhihuZhihu trending questions
Baidu/v2/baidu/hotBaidu hot searches
Douyin/v2/douyinDouyin trending videos
Toutiao/v2/toutiaoToutiao hot news
Bilibili/v2/biliBilibili 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("🔥 微博热搜:")for i, topic in enumerate(hot_topics['data'][:10], 1):    print(f"{i}. {topic['title']} - 热度: {topic['热度']}")

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("💡 知乎热榜:")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
# Usageall_topics = get_all_hot_topics()

Simple bash examples

bash
# Weibo hot searchcurl "https://60s.viki.moe/v2/weibo"
# Zhihu trendingcurl "https://60s.viki.moe/v2/zhihu"
# Baidu hot searchcurl "https://60s.viki.moe/v2/baidu/hot"
# Douyin trendingcurl "https://60s.viki.moe/v2/douyin"
# Bilibili trendingcurl "https://60s.viki.moe/v2/bili"

Response Format

Responses typically include:

json
{  "data": [    {      "title": "话题标题",      "url": "https://...",      "热度": "1234567",      "rank": 1    },    ...  ],  "update_time": "2024-01-15 14:00:00"}

Example Interactions

User: "现在微博上什么最火?"

python
hot = get_weibo_hot()top_5 = hot['data'][:5]
response = "🔥 微博热搜 TOP 5:\n\n"for i, topic in enumerate(top_5, 1):    response += f"{i}. {topic['title']}\n"    response += f"   热度:{topic.get('热度', 'N/A')}\n\n"

User: "知乎上大家在讨论什么?"

python
zhihu = get_zhihu_hot()response = "💡 知乎当前热门话题:\n\n"for topic in zhihu['data'][:8]:    response += f"· {topic['title']}\n"

User: "对比各平台热点"

python
def compare_platform_trends():    all_topics = get_all_hot_topics()        summary = "📊 各平台热点概览\n\n"        platforms = {        'weibo': '微博',        'zhihu': '知乎',        'baidu': '百度',        'douyin': '抖音',        'bili': 'B站'    }        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 = "📱 今日热点速览\n\n"    summary += "【微博热搜】\n"    summary += "\n".join([f"{i}. {t['title']}"                           for i, t in enumerate(weibo['data'][:3], 1)])    summary += "\n\n【知乎热榜】\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"🔍 热门关键词:{', '.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"✅ 话题 '{keyword}' 正在以下平台trending: {', '.join(found_in)}"    return f"❌ 话题 '{keyword}' 未在主流平台trending"

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 (微博)

  • Updates frequently (every few minutes)
  • Includes "热度" (heat score)
  • Some topics may have tags like "热" or "新"

Zhihu (知乎)

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

Baidu (百度)

  • Reflects search trends
  • Good indicator of mainstream interest
  • Includes various categories

Douyin (抖音)

  • Video-focused trending
  • Entertainment and lifestyle content
  • Young audience interests

Bilibili (B站)

  • 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

Related Resources

來源與署名

來源:vikiboss/60s-skills位於skills/hot-topics提交a05168e

授權條款: MIT

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