Industry News Radar
Auto-collect industry insights & generate daily reports
Description
Why we love this skill
This skill is your personal industry intelligence assistant, daily capturing and refining the latest news on AI training, short video IP, and more, helping you spot trends and seize business opportunities.
AI industry intelligence assistant, built for AI training institutions, enterprise service providers, and entrepreneurs. Automatically gathers the latest news in AI training, short video IP, digital humans, enterprise AI adoption, etc., and generates a curated daily report. Default configuration: Hubei Ruixi Technology business scenario (AI consulting, training, short video IP creation), prioritized domestic media (36Kr, NetEase, CSDN, Jiemodui), focusing on practical cases and market data. Output format: Today's Highlights (with business insights) + Worth Knowing + Quote of the Day. Supports custom business context and information sources, helping you grasp industry trends in 10 minutes a day and discover business opportunities. # Industry News Radar - User Guide --- ## 📖 Introduction **Industry News Radar** automatically gathers the latest news in AI training, short video IP, digital humans, enterprise AI adoption, etc., and generates a curated industry daily report. **Core Value**: - ⏰ From 1 hour of browsing → 10 minutes of daily report reading - 🎯 Automatically filters ad posts, retaining only high-value information - 💡 Each key piece of news comes with practical advice - 📊 Structured layout, easy to read and use --- ## 🚀 Quick Start ### Option 1: Use Default Configuration (Recommended) ```plaintext Run Industry News Radar ``` ### Option 2: Custom Business Context ```plaintext Run Industry News Radar My business:[Describe your business direction, target audience, focus areas] ``` **Example**: ```plaintext Run Industry News Radar My business: Developing e-commerce AI tools, mainly serving Taobao and Pinduoduo merchants, focusing on AI customer service, AI product selection, AI recommendations, etc. ``` ### Option 3: Use a Document as Context ```plaintext @[Your business context document] Run Industry News Radar ``` --- ## 📋 Default Configuration ### Business Context - **Business**: AI consulting, training, and product customization, mainly AI applications, monetization, and executive training - **Scenario**: AI short video for personal and corporate IP building - **Target Audience**: SME owners, executives, entrepreneurs - **Focus Areas**: AI education & training, AI-generated short videos, corporate branding, digital human applications ### Information Sources Prioritized: 36Kr, Machine Heart, QuantumBit, Huxiu, CSDN, Jiemodui, NewRank, Bird's Notes, etc. --- ## 📊 Output Format ### 📌 Today's Highlights (2-3 items) High business value + Strong business relevance + Highly actionable Each includes: Title, Core Info, 💡 Business Insight, 📎 Source Link ### 💡 Worth Knowing (6-8 items) Compact list format, one sentence per item for quick scanning ### 💬 Quote of the Day Most valuable insight distilled from all news, closely tied to business scenarios --- ## ⚙️ Custom Configuration ### Adjust Focus Areas ```plaintext Run Industry News Radar My main focus: 1. AI video generation tools (Sora, Kling, Jimeng, etc.) 2. Video editing AI applications 3. AI cases in film and TV production industry ``` ### Add Specific Information Sources ```plaintext Run Industry News Radar Please prioritize content from "AI Front" and "InfoQ" ``` ### Adjust Output Format ```plaintext Run Industry News Radar Please increase "Today's Highlights" to 5 items and reduce "Worth Knowing" to 3 items ``` --- ## 📈 Best Practices ### ✅ Recommended - Run at a fixed time daily, spend 10-15 minutes browsing - Deep read original articles for key news - Save important cases to your knowledge base - Regularly share with your team to analyze trends together ### ❌ Avoid - Only reading headlines without content - Hoarding and not reading (read the same day) - Blindly following trends (assess based on your actual business) - Ignoring "Quote of the Day" (most valuable insight) --- ## 🔍 FAQ **Q: Why is today's report so short?**\ A: Possibly no major industry news today, or the fetched content is not highly relevant. Try expanding your focus areas or making your business context description more specific. **Q: How to get news on a specific industry?**\ A: Clearly specify the industry when running, e.g.: "My industry: Healthcare, focus on AI diagnostics, smart consultation, medical imaging AI" **Q: Can it fetch English news?**\ A: The current version prioritizes Chinese news. For English news, specify: "Please also fetch English news" when running. **Q: How to save historical reports?**\ A: Each generated report is automatically saved as a document (title format: "Industry Daily · YYYY-MM-DD"). You can view all historical reports in the current Board. **Q: Can it run on a schedule?**\ A: Use YouMind's scheduled task feature to set it to run automatically at 8:00 AM daily. --- ## 🎯 Get Started Now ```plaintext Run Industry News Radar ``` Grasp industry trends in 10 minutes a day and discover business opportunities!
Related Skills
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AI Hot News Daily
Radar Skill (AI Radar) – Zero API, Zero Key, Zero Server: Chinese AI news queries. Data comes from the publicly available static JSON of AI News Radar on GitHub Pages (auto-updated daily by GitHub Actions). Fetch with curl, no authentication, no User-Agent requirement, no rate limit, and you can fork the entire data pipeline to your own. Use it when users ask "What's new in AI today?", "AI news from the last 24 hours", "AI daily report", "What large models have been released recently?", "AI product updates", "What's new in Agent tools?", "What have OpenAI/Anthropic/Google released recently?", "AI hot topics", "Show me AI Radar", "Which AI sources are worth following?", or any other Chinese AI information queries. Even if the user only says "AI scene", "AI news", "What's new today?", as long as the context is AI / large models / Agents / developer tools, this Skill should trigger. **Don't undertrigger** – if a user asks for AI news and you don't call this Skill, you're presenting outdated training data as today's news, which is harmful to the user. Do not use for maintaining the AI News Radar repository itself (adding sources, modifying scraping logic, deploying Pages – for that use the Bole Skill / ai-news-radar); do not use for general non-AI news queries; do not use for private information sources that require login.
HRO Market Intelligence Radar
Automatically scan T-1 day global situation and stock market data to output layered industry analysis, trend deduction, and HRO business opportunity strategies. --- ## Step 1: Data Collection and Verification **Role Definition**: You are a senior financial data analyst and geopolitical intelligence expert, skilled in extracting key signals from multi-source information. **Task Description**: Automatically collect T-1 day macroeconomic situation information and global stock market data, establishing a dual-dimension historical baseline of 30-day short-term and 90-day medium-term. **Execution Logic**: 1. Use googleSearch to search major official media for T-1 day significant news (Xinhua, CCTV News, Bloomberg, Reuters, Wall Street Journal); mark as "confirmed" only if the same event appears in at least 2 independent sources. 2. Collect data on major US, Hong Kong, and A-share indices and key individual stocks, with percentage changes accurate to two decimal places, exclude suspended stocks. 3. Collect recent 30-day and 90-day historical data to calculate technical indicators (MA5/10/20/60, volatility). **Output**: Structured data table (situation event table + stock price data table), annotated with data sources and collection time. **Constraints**: Do not fabricate data, mark all missing data items. --- ## Step 2: Trend Deduction and Hierarchical Analysis **Role Definition**: You are an investment strategy analyst and HRO business expert, skilled in transforming market signals into actionable business strategies. **Execution Logic**: 1. **Trend Deduction**: Use technical (30/90-day trend patterns, momentum indicators) + fundamental (event-industry-enterprise transmission chain) dual models to output optimistic/baseline/pessimistic three-scenario forecasts, with confidence levels (High/Medium/Low) and time windows (Short-term 1 month/Medium-term 3-6 months/Long-term 6-12 months). 2. **Industry Hierarchy**: Identify beneficiary sectors (top 20% gainers), damaged sectors (bottom 20% losers), and divergent sectors, analyze driving factors and annotate certainty levels. 3. **Enterprise Matrix**: Build a three-layer evaluation matrix of forecast verification/surprise reversal/risk persistence, each enterprise includes T-1 day performance, future forecast, and HRO opportunity points. 4. **HRO Strategy**: Generate immediate (this week to contact limit-up enterprises)/medium-term (1-2 months to build talent pool)/long-term (3-6 months to restructure model) three-stage strategies, using specific numbers like "labor demand +22%". **Constraints**: All forecasts annotate key assumptions, HRO strategy closely follows market reality, do not forecast beyond 12 months. --- ## Step 3: HTML Visualization Output **Role Definition**: You are a data visualization expert and frontend designer, skilled in transforming complex analysis into beautiful and readable interactive reports. **Execution Logic**: 1. Report structure: Cover + Macro Situation + Market Dashboard + Trend Deduction + Industry Hierarchy + Enterprise Matrix + HRO Strategy + Risk Warning. 2. Visual design: Dark gradient background + translucent frosted glass cards (backdrop-filter blur) + cyan (up)/coral red (down)/amber yellow (divergence) color scheme. 3. Use imageGenerate to generate 4-6 charts (30-day trend chart, sector ranking chart, HRO opportunity matrix bubble chart, etc.) 4. Use generateWebpage to generate complete HTML, including hover effects, table sorting, anchor navigation, responsive layout. **Output**: Complete HTML report + data visualization charts. --- ## Tool Configuration - **googleSearch**: Search macroeconomic news, collect stock market data, verify multi-source information. - **generateWebpage**: Generate frosted glass style HTML visualization report. - **write**: Output structured analysis document. - **imageGenerate**: Generate data visualization charts. --- ## Usage Suggestions 1. Best execution time: Automatically trigger before daily market open (before 9:00 AM Beijing time) to generate morning report using T-1 day complete data. 2. Key sectors to focus on: Energy, infrastructure, manufacturing, shipping and other labor-intensive industries. 3. Weekly review of forecast accuracy to continuously optimize the trend deduction model. --- ## Testing Suggestions - Standard scenario: Geopolitical conflict escalation + oil price surge → correctly identify energy/oil transport/military as beneficiary sectors. - Boundary case: No trading data on holidays → mark data missing and reference previous trading day. - Black swan: Sudden major event → generate three-scenario forecasts with low confidence annotation. --- ## Optimization Directions 1. Connect to professional financial data APIs (Bloomberg, Wind) to improve data accuracy. 2. Introduce machine learning models to assist trend prediction. 3. Add user configuration options (sectors of interest, risk preference, key regions). 4. Support bilingual report generation in Chinese and English.
Research Report Generator
📝 Value in one sentence: Enter a topic or upload materials, and AI handles the entire process from organizing sources to drafting. 🔍 Core features: Smart source integration: Upload multiple documents and AI automatically extracts key viewpoints, critical data, and representative cases, while removing duplicates and flagging conflicts. Automatic outline generation: Based on the topic or source content, it creates a logically clear and well-structured article outline. One-click draft writing: Generates content section by section according to the outline, with every data point and case study source-tagged and traceable. Five writing styles: Supports formal reports, WeChat articles, Xiaohongshu notes, academic papers, and business briefings. Transparent citations: Every figure and viewpoint is marked with its source—no fabrication or invention. Automated content workflow: Source parsing → viewpoint extraction → outline generation → writing in five styles. 🎯 Use cases: 📊 Industry research: Enter "Humanoid Robot Industry 2026" to generate a draft analysis report with data and case studies. 📝 Content creation: Upload 3 related articles to combine into an in-depth WeChat article. 📚 Academic writing: Upload multiple paper abstracts to create a literature review draft. 📋 Competitor analysis: Upload several competitor documents to instantly generate a comparative analysis report. 🧠 Personal learning: Enter a new-domain topic to quickly generate a knowledge overview. 💼 Business decisions: Input business data and background information to produce a decision brief for the CEO. 👩💼 Who it's for: Researchers, analysts, content creators, product managers, students, and consultants—anyone who needs to quickly produce high-quality first drafts.
Industry News Radar
Auto-collect industry insights & generate daily reports
Description
Why we love this skill
This skill is your personal industry intelligence assistant, daily capturing and refining the latest news on AI training, short video IP, and more, helping you spot trends and seize business opportunities.
AI industry intelligence assistant, built for AI training institutions, enterprise service providers, and entrepreneurs. Automatically gathers the latest news in AI training, short video IP, digital humans, enterprise AI adoption, etc., and generates a curated daily report. Default configuration: Hubei Ruixi Technology business scenario (AI consulting, training, short video IP creation), prioritized domestic media (36Kr, NetEase, CSDN, Jiemodui), focusing on practical cases and market data. Output format: Today's Highlights (with business insights) + Worth Knowing + Quote of the Day. Supports custom business context and information sources, helping you grasp industry trends in 10 minutes a day and discover business opportunities. # Industry News Radar - User Guide --- ## 📖 Introduction **Industry News Radar** automatically gathers the latest news in AI training, short video IP, digital humans, enterprise AI adoption, etc., and generates a curated industry daily report. **Core Value**: - ⏰ From 1 hour of browsing → 10 minutes of daily report reading - 🎯 Automatically filters ad posts, retaining only high-value information - 💡 Each key piece of news comes with practical advice - 📊 Structured layout, easy to read and use --- ## 🚀 Quick Start ### Option 1: Use Default Configuration (Recommended) ```plaintext Run Industry News Radar ``` ### Option 2: Custom Business Context ```plaintext Run Industry News Radar My business:[Describe your business direction, target audience, focus areas] ``` **Example**: ```plaintext Run Industry News Radar My business: Developing e-commerce AI tools, mainly serving Taobao and Pinduoduo merchants, focusing on AI customer service, AI product selection, AI recommendations, etc. ``` ### Option 3: Use a Document as Context ```plaintext @[Your business context document] Run Industry News Radar ``` --- ## 📋 Default Configuration ### Business Context - **Business**: AI consulting, training, and product customization, mainly AI applications, monetization, and executive training - **Scenario**: AI short video for personal and corporate IP building - **Target Audience**: SME owners, executives, entrepreneurs - **Focus Areas**: AI education & training, AI-generated short videos, corporate branding, digital human applications ### Information Sources Prioritized: 36Kr, Machine Heart, QuantumBit, Huxiu, CSDN, Jiemodui, NewRank, Bird's Notes, etc. --- ## 📊 Output Format ### 📌 Today's Highlights (2-3 items) High business value + Strong business relevance + Highly actionable Each includes: Title, Core Info, 💡 Business Insight, 📎 Source Link ### 💡 Worth Knowing (6-8 items) Compact list format, one sentence per item for quick scanning ### 💬 Quote of the Day Most valuable insight distilled from all news, closely tied to business scenarios --- ## ⚙️ Custom Configuration ### Adjust Focus Areas ```plaintext Run Industry News Radar My main focus: 1. AI video generation tools (Sora, Kling, Jimeng, etc.) 2. Video editing AI applications 3. AI cases in film and TV production industry ``` ### Add Specific Information Sources ```plaintext Run Industry News Radar Please prioritize content from "AI Front" and "InfoQ" ``` ### Adjust Output Format ```plaintext Run Industry News Radar Please increase "Today's Highlights" to 5 items and reduce "Worth Knowing" to 3 items ``` --- ## 📈 Best Practices ### ✅ Recommended - Run at a fixed time daily, spend 10-15 minutes browsing - Deep read original articles for key news - Save important cases to your knowledge base - Regularly share with your team to analyze trends together ### ❌ Avoid - Only reading headlines without content - Hoarding and not reading (read the same day) - Blindly following trends (assess based on your actual business) - Ignoring "Quote of the Day" (most valuable insight) --- ## 🔍 FAQ **Q: Why is today's report so short?**\ A: Possibly no major industry news today, or the fetched content is not highly relevant. Try expanding your focus areas or making your business context description more specific. **Q: How to get news on a specific industry?**\ A: Clearly specify the industry when running, e.g.: "My industry: Healthcare, focus on AI diagnostics, smart consultation, medical imaging AI" **Q: Can it fetch English news?**\ A: The current version prioritizes Chinese news. For English news, specify: "Please also fetch English news" when running. **Q: How to save historical reports?**\ A: Each generated report is automatically saved as a document (title format: "Industry Daily · YYYY-MM-DD"). You can view all historical reports in the current Board. **Q: Can it run on a schedule?**\ A: Use YouMind's scheduled task feature to set it to run automatically at 8:00 AM daily. --- ## 🎯 Get Started Now ```plaintext Run Industry News Radar ``` Grasp industry trends in 10 minutes a day and discover business opportunities!
Related Skills
View allAI Hot News Daily
Radar Skill (AI Radar) – Zero API, Zero Key, Zero Server: Chinese AI news queries. Data comes from the publicly available static JSON of AI News Radar on GitHub Pages (auto-updated daily by GitHub Actions). Fetch with curl, no authentication, no User-Agent requirement, no rate limit, and you can fork the entire data pipeline to your own. Use it when users ask "What's new in AI today?", "AI news from the last 24 hours", "AI daily report", "What large models have been released recently?", "AI product updates", "What's new in Agent tools?", "What have OpenAI/Anthropic/Google released recently?", "AI hot topics", "Show me AI Radar", "Which AI sources are worth following?", or any other Chinese AI information queries. Even if the user only says "AI scene", "AI news", "What's new today?", as long as the context is AI / large models / Agents / developer tools, this Skill should trigger. **Don't undertrigger** – if a user asks for AI news and you don't call this Skill, you're presenting outdated training data as today's news, which is harmful to the user. Do not use for maintaining the AI News Radar repository itself (adding sources, modifying scraping logic, deploying Pages – for that use the Bole Skill / ai-news-radar); do not use for general non-AI news queries; do not use for private information sources that require login.
HRO Market Intelligence Radar
Automatically scan T-1 day global situation and stock market data to output layered industry analysis, trend deduction, and HRO business opportunity strategies. --- ## Step 1: Data Collection and Verification **Role Definition**: You are a senior financial data analyst and geopolitical intelligence expert, skilled in extracting key signals from multi-source information. **Task Description**: Automatically collect T-1 day macroeconomic situation information and global stock market data, establishing a dual-dimension historical baseline of 30-day short-term and 90-day medium-term. **Execution Logic**: 1. Use googleSearch to search major official media for T-1 day significant news (Xinhua, CCTV News, Bloomberg, Reuters, Wall Street Journal); mark as "confirmed" only if the same event appears in at least 2 independent sources. 2. Collect data on major US, Hong Kong, and A-share indices and key individual stocks, with percentage changes accurate to two decimal places, exclude suspended stocks. 3. Collect recent 30-day and 90-day historical data to calculate technical indicators (MA5/10/20/60, volatility). **Output**: Structured data table (situation event table + stock price data table), annotated with data sources and collection time. **Constraints**: Do not fabricate data, mark all missing data items. --- ## Step 2: Trend Deduction and Hierarchical Analysis **Role Definition**: You are an investment strategy analyst and HRO business expert, skilled in transforming market signals into actionable business strategies. **Execution Logic**: 1. **Trend Deduction**: Use technical (30/90-day trend patterns, momentum indicators) + fundamental (event-industry-enterprise transmission chain) dual models to output optimistic/baseline/pessimistic three-scenario forecasts, with confidence levels (High/Medium/Low) and time windows (Short-term 1 month/Medium-term 3-6 months/Long-term 6-12 months). 2. **Industry Hierarchy**: Identify beneficiary sectors (top 20% gainers), damaged sectors (bottom 20% losers), and divergent sectors, analyze driving factors and annotate certainty levels. 3. **Enterprise Matrix**: Build a three-layer evaluation matrix of forecast verification/surprise reversal/risk persistence, each enterprise includes T-1 day performance, future forecast, and HRO opportunity points. 4. **HRO Strategy**: Generate immediate (this week to contact limit-up enterprises)/medium-term (1-2 months to build talent pool)/long-term (3-6 months to restructure model) three-stage strategies, using specific numbers like "labor demand +22%". **Constraints**: All forecasts annotate key assumptions, HRO strategy closely follows market reality, do not forecast beyond 12 months. --- ## Step 3: HTML Visualization Output **Role Definition**: You are a data visualization expert and frontend designer, skilled in transforming complex analysis into beautiful and readable interactive reports. **Execution Logic**: 1. Report structure: Cover + Macro Situation + Market Dashboard + Trend Deduction + Industry Hierarchy + Enterprise Matrix + HRO Strategy + Risk Warning. 2. Visual design: Dark gradient background + translucent frosted glass cards (backdrop-filter blur) + cyan (up)/coral red (down)/amber yellow (divergence) color scheme. 3. Use imageGenerate to generate 4-6 charts (30-day trend chart, sector ranking chart, HRO opportunity matrix bubble chart, etc.) 4. Use generateWebpage to generate complete HTML, including hover effects, table sorting, anchor navigation, responsive layout. **Output**: Complete HTML report + data visualization charts. --- ## Tool Configuration - **googleSearch**: Search macroeconomic news, collect stock market data, verify multi-source information. - **generateWebpage**: Generate frosted glass style HTML visualization report. - **write**: Output structured analysis document. - **imageGenerate**: Generate data visualization charts. --- ## Usage Suggestions 1. Best execution time: Automatically trigger before daily market open (before 9:00 AM Beijing time) to generate morning report using T-1 day complete data. 2. Key sectors to focus on: Energy, infrastructure, manufacturing, shipping and other labor-intensive industries. 3. Weekly review of forecast accuracy to continuously optimize the trend deduction model. --- ## Testing Suggestions - Standard scenario: Geopolitical conflict escalation + oil price surge → correctly identify energy/oil transport/military as beneficiary sectors. - Boundary case: No trading data on holidays → mark data missing and reference previous trading day. - Black swan: Sudden major event → generate three-scenario forecasts with low confidence annotation. --- ## Optimization Directions 1. Connect to professional financial data APIs (Bloomberg, Wind) to improve data accuracy. 2. Introduce machine learning models to assist trend prediction. 3. Add user configuration options (sectors of interest, risk preference, key regions). 4. Support bilingual report generation in Chinese and English.
Research Report Generator
📝 Value in one sentence: Enter a topic or upload materials, and AI handles the entire process from organizing sources to drafting. 🔍 Core features: Smart source integration: Upload multiple documents and AI automatically extracts key viewpoints, critical data, and representative cases, while removing duplicates and flagging conflicts. Automatic outline generation: Based on the topic or source content, it creates a logically clear and well-structured article outline. One-click draft writing: Generates content section by section according to the outline, with every data point and case study source-tagged and traceable. Five writing styles: Supports formal reports, WeChat articles, Xiaohongshu notes, academic papers, and business briefings. Transparent citations: Every figure and viewpoint is marked with its source—no fabrication or invention. Automated content workflow: Source parsing → viewpoint extraction → outline generation → writing in five styles. 🎯 Use cases: 📊 Industry research: Enter "Humanoid Robot Industry 2026" to generate a draft analysis report with data and case studies. 📝 Content creation: Upload 3 related articles to combine into an in-depth WeChat article. 📚 Academic writing: Upload multiple paper abstracts to create a literature review draft. 📋 Competitor analysis: Upload several competitor documents to instantly generate a comparative analysis report. 🧠 Personal learning: Enter a new-domain topic to quickly generate a knowledge overview. 💼 Business decisions: Input business data and background information to produce a decision brief for the CEO. 👩💼 Who it's for: Researchers, analysts, content creators, product managers, students, and consultants—anyone who needs to quickly produce high-quality first drafts.
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