Real-time trending topics and hot searches from six major Chinese social media platforms.
Works with
Supports six platforms: Weibo, Zhihu, Baidu, Douyin, Toutiao, and Bilibili via simple GET endpoints
Returns ranked trending topics with metadata including heat scores, URLs, and update timestamps
Enables cross-platform trend comparison, keyword tracking, and daily trending summaries
Ideal for monitoring viral content, understanding current discussions, and identifying common topics across pla
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionhot-topicsExecute the skills CLI command in your project's root directory to begin installation:
Fetches hot-topics from vikiboss/60s-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate hot-topics. Access via /hot-topics in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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)<Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
hot-topics reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for hot-topics matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in hot-topics — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for hot-topics matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: hot-topics is focused, and the summary matches what you get after install.
hot-topics is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
hot-topics fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
hot-topics has been reliable in day-to-day use. Documentation quality is above average for community skills.
hot-topics reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend hot-topics for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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