This skill helps AI agents fetch and present daily curated news from the 60s API, which provides 15 selected news items plus a daily quote, updated every 30 minutes.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondaily-news-60sExecute the skills CLI command in your project's root directory to begin installation:
Fetches daily-news-60s 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 daily-news-60s. Access via /daily-news-60s 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.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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This skill helps AI agents fetch and present daily curated news from the 60s API, which provides 15 selected news items plus a daily quote, updated every 30 minutes.
Use this skill when users:
Base URL: https://60s.viki.moe/v2/60s
Method: GET
date (optional): Date in YYYY-MM-DD format (e.g., "2024-01-15")
encoding (optional): Output format
json (default): Structured JSON datatext: Plain text formatmarkdown: Formatted markdownimage: Redirect to image URLimage-proxy: Returns image binary datacurl "https://60s.viki.moe/v2/60s"
import requests
response = requests.get('https://60s.viki.moe/v2/60s')
news = response.json()
print(f"📰 {news['date']} 新闻简报")
print(f"农历：{news['lunar_date']} {news['day_of_week']}\n")
for i, item in enumerate(news['news'], 1):
print(f"{i}. {item['title']}")
print(f"\n💭 微语：{news['tip']}")
response = requests.get('https://60s.viki.moe/v2/60s', params={'date': '2024-01-15'})
response = requests.get('https://60s.viki.moe/v2/60s', params={'encoding': 'markdown'})
markdown_content = response.text
response = requests.get('https://60s.viki.moe/v2/60s', params={'encoding': 'text'})
text_content = response.text
{
"date": "2024-01-15",
"day_of_week": "星期一",
"lunar_date": "腊月初五",
"news": [
{
"title": "新闻标题1",
"link": "https://example.com/news1"
},
...
],
"tip": "每日微语内容",
"image": "https://..../image.png",
"updated": "2024-01-15 09:00:00",
"updated_at": 1705280400000,
"api_updated": "2024-01-15 09:00:00",
"api_updated_at": 1705280400000
}
Agent Response:
📰 2024年1月15日 星期一 农历腊月初五
【今日要闻】
1. 新闻标题1
2. 新闻标题2
3. 新闻标题3
...
💭 微语：[每日微语内容]
from datetime import datetime, timedelta
yesterday = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d')
response = requests.get('https://60s.viki.moe/v2/60s', params={'date': yesterday})
def send_morning_news():
news = requests.get('https://60s.viki.moe/v2/60s').json()
message = f"早安！今天是 {news['date']} {news['day_of_week']}\n\n"
message += "\n".join([f"{i}. {item['title']}" for i, item in enumerate(news['news'][:5], 1)])
message += f"\n\n{news['tip']}"
return message
def get_news_summary(count=5):
news = requests.get('https://60s.viki.moe/v2/60s').json()
return {
'date': news['date'],
'headlines': [item['title'] for item in news['news'][:count]],
'quote': news['tip']
}
def get_historical_news(date_str):
response = requests.get('https://60s.viki.moe/v2/60s', params={'date': date_str})
if response.ok:
return response.json()
return None
encoding=image-proxy instead of encoding=imagePrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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daily-news-60s fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added daily-news-60s from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend daily-news-60s for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
daily-news-60s is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in daily-news-60s — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
daily-news-60s reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: daily-news-60s is the kind of skill you can hand to a new teammate without a long onboarding doc.
daily-news-60s has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added daily-news-60s from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
daily-news-60s fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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