daily-news-60s▌
vikiboss/60s-skills · updated Apr 8, 2026
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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.
每天60秒读懂世界 - Daily News Skill
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.
When to Use This Skill
Use this skill when users:
- Ask for today's news or current events
- Want a quick daily briefing
- Request news summaries in Chinese
- Need historical news from a specific date
- Want news in different formats (text, markdown, image)
API Endpoint
Base URL: https://60s.viki.moe/v2/60s
Method: GET
Parameters
-
date(optional): Date in YYYY-MM-DD format (e.g., "2024-01-15")- If not provided, returns the latest available news
-
encoding(optional): Output formatjson(default): Structured JSON datatext: Plain text formatmarkdown: Formatted markdownimage: Redirect to image URLimage-proxy: Returns image binary data
How to Use
Basic Usage - Get Latest News
curl "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']}")
Get News for Specific Date
response = requests.get('https://60s.viki.moe/v2/60s', params={'date': '2024-01-15'})
Get News as Markdown
response = requests.get('https://60s.viki.moe/v2/60s', params={'encoding': 'markdown'})
markdown_content = response.text
Get News as Plain Text
response = requests.get('https://60s.viki.moe/v2/60s', params={'encoding': 'text'})
text_content = response.text
Response Format (JSON)
{
"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
}
Example Interactions
User Request: "今天有什么新闻?"
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]
User Request: "Get yesterday's news"
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})
Best Practices
- Caching: The API has built-in caching, responses are very fast
- Update Frequency: News updates every 30 minutes, typically by 10 AM
- Error Handling: Always check response status and handle errors gracefully
- Format Selection: Use JSON for structured data, markdown for formatted output, text for simple presentation
- Date Validation: When requesting specific dates, ensure the date format is YYYY-MM-DD
Common Use Cases
1. Daily News Bot
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
2. News Summary for Chatbots
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']
}
3. Historical News Lookup
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
Troubleshooting
Issue: No data returned
- Solution: Try requesting previous dates (yesterday or the day before)
- The service tries latest 3 days automatically
Issue: Image not loading
- Solution: Use
encoding=image-proxyinstead ofencoding=image - The proxy endpoint directly returns image binary data
Issue: Old date requested
- Solution: Data is only available for recent dates
- Check the response status code
API Characteristics
- ✅ Free: No authentication required
- ✅ Fast: Millisecond-level cached responses
- ✅ Reliable: Global CDN acceleration
- ✅ Updated: Every 30 minutes
- ✅ Quality: 15 curated news items from authoritative sources
Related Resources
How to use daily-news-60s on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add daily-news-60s
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches daily-news-60s from GitHub repository vikiboss/60s-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate daily-news-60s. Access the skill through slash commands (e.g., /daily-news-60s) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★45 reviews- ★★★★★Mia Jain· Dec 16, 2024
daily-news-60s fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chaitanya Patil· Dec 12, 2024
We added daily-news-60s from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Pratham Ware· Dec 12, 2024
I recommend daily-news-60s for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Camila Farah· Dec 8, 2024
daily-news-60s is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Mia Kapoor· Dec 4, 2024
Useful defaults in daily-news-60s — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella White· Nov 27, 2024
daily-news-60s reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kabir Gonzalez· Nov 27, 2024
Keeps context tight: daily-news-60s is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Omar Abbas· Nov 23, 2024
daily-news-60s has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chinedu Liu· Nov 7, 2024
We added daily-news-60s from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Piyush G· Nov 3, 2024
daily-news-60s fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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