Aggregates latest AI news from multiple sources with categorized summaries and direct article links.
Works with
Fetches content from 3-5 major AI news websites (VentureBeat, TechCrunch, The Verge, MIT Tech Review) and executes web search queries with date filters to capture breaking news
Organizes stories into five categories: Major Announcements, Research & Papers, Industry & Business, Tools & Applications, and Policy & Ethics
Filters for last 24-48 hours, removes duplicate
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondaily-ai-newsExecute the skills CLI command in your project's root directory to begin installation:
Fetches daily-ai-news from yyh211/claude-meta-skill 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-ai-news. Access via /daily-ai-news 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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Aggregates 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 templatesPrerequisites
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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Keeps context tight: daily-ai-news is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added daily-ai-news from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: daily-ai-news is the kind of skill you can hand to a new teammate without a long onboarding doc.
daily-ai-news fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
daily-ai-news is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: daily-ai-news is focused, and the summary matches what you get after install.
daily-ai-news has been reliable in day-to-day use. Documentation quality is above average for community skills.
daily-ai-news has been reliable in day-to-day use. Documentation quality is above average for community skills.
daily-ai-news has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: daily-ai-news is focused, and the summary matches what you get after install.
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