{
    "name": "hot-topics",
    "version": "1.0.0",
    "description": "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.",
    "system_prompt": "name hot-topics description 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. license MIT metadata {\"author\":\"vikiboss\",\"version\":\"1.0\",\"api_base\":\"https://60s.viki.moe/v2\",\"tags\":[\"trending\",\"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 Weibo (微博) - Chinese Twitter equivalent Zhihu (知乎) - Chinese Quora equivalent Baidu (百度) - China's largest search engine Douyin (抖音) - TikTok China Toutiao (今日头条) - ByteDance news aggregator Bilibili (B站) - 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 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 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 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 # 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: { \"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？\" 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？\" 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\" 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 Rate Limiting : Don't call APIs too frequently, data updates every few minutes Error Handling : Always handle network errors and invalid responses Caching : Cache results for 5-10 minutes to reduce API calls Top N : Usually showing top 5-10 items is sufficient Context : Provide platform context when showing trending topics Common Use Cases 1. Daily Trending Summary 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 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 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 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 60s API Documentation GitHub Repository",
    "model_config": {
        "provider": "deepseek",
        "model": "deepseek-chat",
        "temperature": 0.7,
        "max_tokens": 4096,
        "top_p": 0.9
    },
    "trigger_words": [],
    "source": "DeepseekModel",
    "source_url": "https://deepseekmodel.com/skill?id=vikiboss-60s-skills-skills-hot-topics-skill-md"
}