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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.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/vikiboss/60s-skills --skill hot-topicsコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
查询中国各地实时天气和天气预报，包括温度、湿度、风速、空气质量等信息。Use when users ask about weather conditions, forecasts, or climate information for locations in China.
获取每天60秒读懂世界的每日新闻，包含15条精选国内外新闻和每日微语。Use when users need daily news summaries, current events, or want to stay informed about world news in Chinese.
查询各类数据信息，包括汇率、农历、历史事件、百科、油价、金价和化学元素。Use when users need exchange rates, lunar calendar, historical events, encyclopedia, commodity prices, or chemical element information.
SOC 職業分類に基づく
SKILL.md を表示中
| 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"]} |
This skill helps AI agents fetch trending topics and hot searches from major Chinese social media and content platforms.
Use this skill when users:
| Platform | Endpoint | Description |
|---|---|---|
/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
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']}")
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']}")
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()
# 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"
Responses typically include:
{
"data": [
{
"title": "话题标题",
"url": "https://...",
"热度": "1234567",
"rank": 1
},
...
],
"update_time": "2024-01-15 14:00:00"
}
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"
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"
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
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
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])}"
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"
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