Aggregates and summarizes the latest AI news from multiple sources including AI news websites and web search. Provides concise news briefs with direct links to original articles. Activates when user asks for 'today's AI news', 'AI updates', 'latest AI developments', or mentions wanting a 'daily AI b

Daily AI News Briefing Aggregates the latest AI news from multiple sources and delivers concise summaries with direct links When to Use This Skill Activate this skill when the user: Asks for today's AI news or latest AI developments Requests a daily AI briefing or updates Mentions wanting to know what's happening in AI Asks for AI industry news, trends, or breakthroughs Wants a summary of recent AI announcements Says: "给我今天的AI资讯" (Give me today's AI news) Says: "AI有什么新动态" (What's new in AI) Workflow Overview This skill uses a 4 phase workflow to gather, filter, categorize, and present AI news: Phase 1: Information Gathering Step 1.1: Fetch from Primary AI News Sources Use mcp web reader webReader to fetch content from 3 5 major AI news websites: Recommended Primary Sources (choose 3 5 per session): VentureBeat AI: https://venturebeat.com/category/ai/ TechCrunch AI: https://techcrunch.com/category/artificial intelligence/ The Verge AI: https://www.theverge.com/ai artificial intelligence MIT Technology Review AI: https://www.technologyreview.com/topic/artificial intelligence/ AI News: https://artificialintelligence news.com/ AI Hub Today: https://ai.hubtoday.app/ Parameters : return format : markdown with images summary : false (focus on text content) timeout : 20 seconds per source Step 1.2: Execute Web Search Queries Use WebSearch with date filtered queries to discover additional news: Query Template (adjust dates dynamically): Best Practices : Always use current date or yesterday's date in filters Execute 2 3 queries across different categories Limit to top 10 15 results per query Prioritize sources from last 24 48 hours Step 1.3: Fetch Full Articles For the top 10 15 most relevant stories from search results: Extract URLs from search results Use mcp web reader webReader to fetch full article content This ensures accurate summarization vs. just using snippets Phase 2: Content Filtering Filter Criteria Keep : News from last 24 48 hours (preferably today) Major announcements (product launches, model releases, research breakthroughs) Industry developments (funding, partnerships, regulations, acquisitions) Technical advances (new models, techniques, benchmarks) Significant company updates (OpenAI, Google, Anthropic, etc.) Remove : Duplicate stories (same news across multiple sources) Minor updates or marketing fluff Content older than 3 days unless highly significant Non AI content or tangentially related articles Deduplication Strategy When the same story appears in multiple sources: Keep the most comprehensive version Note alternative sources in the summary Prioritize authoritative sources (company blogs news aggregators) Phase 3: Categorization Organize news into 5 categories: 🔥 Major Announcements Product launches (new AI tools, services, features) Model releases (GPT updates, Claude features, Gemini capabilities) Major company announcements (OpenAI, Google, Anthropic, Microsoft, Meta) 🔬 Research & Papers Academic breakthroughs New research papers from top conferences Novel techniques or methodologies Benchmark achievements 💰 Industry & Business Funding rounds and investments Mergers and acquisitions Partnerships and collaborations Market trends and analysis 🛠️ Tools & Applications New AI tools and frameworks Practical AI applications Open source releases Developer resources 🌍 Policy & Ethics AI regulations and policies Safety and ethics discussions Social impact studies Government initiatives Phase 4: Output Formatting Use the following template for consistent output: Customization Options After providing the initial briefing, offer customization: 1. Focus Areas "Would you like me to focus on specific topics?" Research papers only Product launches and tools Industry news and funding Specific companies (OpenAI/Google/Anthropic) Technical tutorials and guides 2. Depth Level "How detailed should I go?" Brief : Headlines only (2 3 bullet points per story) Standard : Summaries + key points (default) Deep : Include analysis and implications 3. Time Range "What timeframe?" Last 24 hours (default) Last 3 days Last week Custom range 4. Format Preference "How would you like this organized?" By category (default) Chronological By company By significance Follow up Interactions User: "Tell me more about [story X]" Action : Use mcp web reader webReader to fetch the full article, provide detailed summary + analysis User: "What are experts saying about [topic Y]?" Action : Search for expert opinions, Twitter reactions, analysis pieces User: "Find similar stories to [story Z]" Action : Search related topics, provide comparative summary User: "Only show research papers" Action : Filter and reorganize output, exclude industry news Quality Standards Validation Checklist All links are valid and accessible No duplicate stories across categories All items have timestamps (preferably today) Summaries are accurate (not hallucinated) Links lead to original sources, not aggregators Mix of sources (not all from one publication) Balance between hype and substance Error Handling If webReader fails for a URL → Skip and try next source If search returns no results → Expand date range or try different query If too many results → Increase threshold for significance If content is paywalled → Use available excerpt and note limitation Examples Example 1: Basic Request User : "给我今天的AI资讯" AI Response : [Executes 4 phase workflow and presents formatted briefing with 5 10 stories across categories] Example 2: Time specific Request User : "What's new in AI this week?" AI Response : [Adjusts date filters to last 7 days, presents weekly summary] Example 3: Category specific Request User : "Any updates on AI research?" AI Response : [Focuses on Research & Papers category, includes recent papers and breakthroughs] Example 4: Follow up Deep Dive User : "Tell me more about the GPT 5 announcement" AI Response : [Fetches full article, provides detailed summary, offers to find expert reactions] Additional Resources For comprehensive lists of news sources, search queries, and output templates, refer to: references/news sources.md Complete database of AI news sources references/search queries.md Search query templates by category references/output templates.md Alternative output format templates

daily-ai-news