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Try itnpx skills add https://github.com/yyh211/claude-meta-skill --skill daily-ai-newsAggregates the latest AI news from multiple sources and delivers concise summaries with direct links
Activate this skill when the user:
This skill uses a 4-phase workflow to gather, filter, categorize, and present AI news:
Phase 1: Information Gathering
├─ Direct website fetching (3-5 major AI news sites)
└─ Web search with date filters
↓
Phase 2: Content Filtering
├─ Keep: Last 24-48 hours, major announcements
└─ Remove: Duplicates, minor updates, old content
↓
Phase 3: Categorization
└─ Organize into 5 categories
↓
Phase 4: Output Formatting
└─ Present with links and structure
Use mcp__web_reader__webReader to fetch content from 3-5 major AI news websites:
Recommended Primary Sources (choose 3-5 per session):
Parameters:
return_format: markdownwith_images_summary: false (focus on text content)timeout: 20 seconds per sourceUse WebSearch with date-filtered queries to discover additional news:
Query Template (adjust dates dynamically):
General: "AI news today" OR "artificial intelligence breakthrough" after:[2025-12-23]
Research: "AI research paper" OR "machine learning breakthrough" after:[2025-12-23]
Industry: "AI startup funding" OR "AI company news" after:[2025-12-23]
Products: "AI application launch" OR "new AI tool" after:[2025-12-23]
Best Practices:
For the top 10-15 most relevant stories from search results:
mcp__web_reader__webReader to fetch full article contentKeep:
Remove:
When the same story appears in multiple sources:
Organize news into 5 categories:
Use the following template for consistent output:
# 📰 Daily AI News Briefing
**Date**: [Current Date, e.g., December 24, 2025]
**Sources**: [X] articles from [Y] sources
**Coverage**: Last 24 hours
---
## 🔥 Major Announcements
### [Headline 1]
**Summary**: [One-sentence overview of the news]
**Key Points**:
- [Important detail 1]
- [Important detail 2]
- [Important detail 3]
**Impact**: [Why this matters - 1 sentence]
📅 **Source**: [Publication Name] • [Publication Date]
🔗 **Link**: [URL to original article]
---
### [Headline 2]
[Same format as above]
---
## 🔬 Research & Papers
### [Headline 3]
[Same format as above]
---
## 💰 Industry & Business
### [Headline 4]
[Same format as above]
---
## 🛠️ Tools & Applications
### [Headline 5]
[Same format as above]
---
## 🌍 Policy & Ethics
### [Headline 6]
[Same format as above]
---
## 🎯 Key Takeaways
1. [The biggest news of the day - 1 sentence]
2. [Second most important development - 1 sentence]
3. [An emerging trend worth watching - 1 sentence]
---
**Generated on**: [Timestamp]
**Next update**: Check back tomorrow for the latest AI news
After providing the initial briefing, offer customization:
"Would you like me to focus on specific topics?"
"How detailed should I go?"
"What timeframe?"
"How would you like this organized?"
Action: Use mcp__web_reader__webReader to fetch the full article, provide detailed summary + analysis
Action: Search for expert opinions, Twitter reactions, analysis pieces
Action: Search related topics, provide comparative summary
Action: Filter and reorganize output, exclude industry news
webReader fails for a URL → Skip and try next sourceUser: "给我今天的AI资讯"
AI Response: [Executes 4-phase workflow and presents formatted briefing with 5-10 stories across categories]
User: "What's new in AI this week?"
AI Response: [Adjusts date filters to last 7 days, presents weekly summary]
User: "Any updates on AI research?"
AI Response: [Focuses on Research & Papers category, includes recent papers and breakthroughs]
User: "Tell me more about the GPT-5 announcement"
AI Response: [Fetches full article, provides detailed summary, offers to find expert reactions]
For comprehensive lists of news sources, search queries, and output templates, refer to:
references/news_sources.md - Complete database of AI news sourcesreferences/search_queries.md - Search query templates by categoryreferences/output_templates.md - Alternative output format templates