Browse, summarize, and capture AI-related YouTube videos. Operations teams benefit by staying updated on AI trends without manual effort. Connects to Claude for AI analysis and summarization.
git clone https://github.com/yizhiyanhua-ai/youtube-ai-digest.gitYouTube AI Digest automates the process of tracking AI-related content across subscribed YouTube channels. The skill fetches the latest videos, extracts captions (including auto-generated subtitles), downloads thumbnails, and generates structured Markdown reports. Operations and research teams use it to monitor AI trends and developments without spending time manually browsing videos. Integration with Claude enables intelligent summarization and analysis of video content directly within your workflow.
Install via Claude Code Plugin or manually clone the repository. Add YouTube channel IDs to data/channels.json. Run fetch_videos.py to retrieve recent videos, get_transcript.py to extract captions, and generate_report.py to create Markdown summaries. Requires Python 3.9+ and yt-dlp.
Monitor latest AI research and developments across multiple YouTube channels
Extract video transcripts and auto-generate summaries for team reports
Build a searchable archive of AI video content with structured metadata
Stay informed on AI trends without manual video browsing
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/yizhiyanhua-ai/youtube-ai-digestCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Find and summarize the top 5 AI-related YouTube videos from the past week. Focus on [INDUSTRY] trends. Provide key insights, speaker details, and timestamps for each video. Format the output with clear headers and bullet points.
# AI Video Digest: [INDUSTRY] Trends (Week of [DATE]) ## 1. **Video: "The Future of AI in [INDUSTRY]"** - **Speaker:** Dr. Jane Smith, AI Researcher at [COMPANY] - **Key Insight:** AI will automate 30% of [INDUSTRY] tasks by 2025. - **Timestamp:** 12:30 - Discussion on automation impact ## 2. **Video: "Ethical AI: Balancing Innovation and Responsibility"** - **Speaker:** John Doe, CEO of [COMPANY] - **Key Insight:** Ethical AI frameworks are critical for [INDUSTRY] adoption. - **Timestamp:** 8:45 - Case study on AI bias mitigation ## 3. **Video: "AI Tools for Small Businesses in [INDUSTRY]"** - **Speaker:** Sarah Lee, AI Consultant - **Key Insight:** Small businesses can leverage AI for 20% cost savings. - **Timestamp:** 5:20 - Affordable AI solutions ## 4. **Video: "The Role of AI in [INDUSTRY] Supply Chains"** - **Speaker:** Michael Brown, Supply Chain Expert - **Key Insight:** AI-driven supply chains reduce delays by 40%. - **Timestamp:** 11:15 - Real-world implementation examples ## 5. **Video: "AI and the Future of Work in [INDUSTRY]"** - **Speaker:** Emily White, Workforce Analyst - **Key Insight:** AI will create new job roles in [INDUSTRY]. - **Timestamp:** 7:00 - Upskilling strategies **Summary:** This week's videos highlight the growing impact of AI on [INDUSTRY], with a focus on automation, ethics, and workforce transformation. Key takeaways include the potential for significant cost savings and the need for ethical frameworks.
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