
Hot Topics
Pull live hot-search and trending-topic lists from major Chinese platforms when planning posts, hooks, or market-aware copy.
Overview
Hot Topics is an agent skill for the Launch phase that fetches live hot-search and trending-topic feeds from six major Chinese social and content platforms via the 60s.viki.moe API.
Install
npx skills add https://github.com/vikiboss/60s-skills --skill hot-topicsWhat is this skill?
- Fetches trending data for six platforms: Weibo, Zhihu, Baidu, Douyin, Toutiao, and Bilibili
- Uses the 60s.viki.moe v2 API with dedicated endpoints per platform (/v2/weibo, /v2/zhihu, /v2/baidu/hot, /v2/douyin, /v2
- Designed for agent calls when users ask about hot searches, viral topics, or what is popular on Chinese social media
- Supports cross-platform trend comparison for research and content ideation
- MIT-licensed skill with explicit trending, social-media, and China metadata tags
- 6 supported Chinese platforms
- v2 API base at 60s.viki.moe
Adoption & trust: 1.6k installs on skills.sh; 37 GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
You need to write or promote in China but do not know what audiences are actually searching and discussing right now across Weibo, Zhihu, Baidu, Douyin, Toutiao, and Bilibili.
Who is it for?
Solo builders creating Chinese-market content, newsletters, or launch copy who want agent-fetchable trend snapshots on demand.
Skip if: Teams that need historical analytics, sentiment scoring, official ad APIs, or deep compliance review of regulated topics—this skill only surfaces live ranking feeds.
When should I use this skill?
Users want trending topics, hot searches, or popular content on Chinese social media platforms.
What do I get? / Deliverables
Your agent returns current per-platform trending lists you can cite in briefs, content calendars, or distribution drafts without manual tab-hopping.
- Per-platform trending or hot-search list from the requested endpoint
- Cross-platform trend summary when the user asks for multiple sources
Recommended Skills
Journey fit
Trending lists are most actionable when you are deciding what to publish, pitch, or ride for distribution—not when you are still validating product fit alone. Distribution subphase covers channel timing and topic selection; real-time platform heat maps inform what to emphasize in launch and growth pushes.
How it compares
Use as a lightweight trends API skill instead of building custom scrapers or guessing topics from generic web search.
Common Questions / FAQ
Who is hot-topics for?
Indie builders, marketers, and agent users who ship content or distribution plays for Chinese platforms and want structured hot-search data in the coding session.
When should I use hot-topics?
At Launch when picking distribution angles; during Grow when planning content tied to what is viral; and in Idea research when scanning what mainstream Chinese audiences are discussing today.
Is hot-topics safe to install?
Review the Security Audits panel on this Prism page and treat third-party API calls as network exposure; verify the 60s.viki.moe service terms and data handling before production use.
SKILL.md
READMESKILL.md - Hot Topics
# 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 | 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("🔥 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 # 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": "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',