daily-news-60s

vikiboss/60s-skills · updated Apr 8, 2026

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$npx skills add https://github.com/vikiboss/60s-skills --skill daily-news-60s
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summary

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.

skill.md

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 format

    • json (default): Structured JSON data
    • text: Plain text format
    • markdown: Formatted markdown
    • image: Redirect to image URL
    • image-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

  1. Caching: The API has built-in caching, responses are very fast
  2. Update Frequency: News updates every 30 minutes, typically by 10 AM
  3. Error Handling: Always check response status and handle errors gracefully
  4. Format Selection: Use JSON for structured data, markdown for formatted output, text for simple presentation
  5. 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-proxy instead of encoding=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

How to use daily-news-60s on Cursor

AI-first code editor with Composer

1

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
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/vikiboss/60s-skills --skill daily-news-60s

The skills CLI fetches daily-news-60s from GitHub repository vikiboss/60s-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/daily-news-60s

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.

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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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.645 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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