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AI Research Collector: Gather & Analyze Videos and Articles Effortlessly

AI Research Collector: Gather & Analyze Videos and Articles Effortlessly

Regular price £28.99
Regular price £28.99 Sale price
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Works withClaude CodeCursorCodex
AI Research Collector: Gather & Analyze Videos and Articles Effortlessly

AI Research Collector: Gather & Analyze Videos and Articles Effortlessly

Regular price £28.99
Regular price £28.99 Sale price
SAVE Sold out

AI Research Collector: Gather & Analyze Videos and Articles Effortlessly

Streamline your research process with the AI Research Collector, a cutting-edge skill designed to simplify the gathering and analysis of YouTube videos and web articles. Perfect for developers and teams leveraging AI coding agents like Claude Code, Cursor, and Codex, this capability saves time and effort by automating the collection and organization of research materials.

What This Skill Does

  • Batch collects relevant YouTube videos and web articles for a specific topic using yt-dlp YouTube search tools.
  • Feeds gathered content into a NotebookLM for thorough analysis via the `nlm` CLI research tool.
  • Runs customized analysis queries to draw insights from the collected research materials.
  • Exports comprehensive results as markdown files, stored in a local directory (default `./research/`), customizable as per user need.

Use Cases

  • Ideal for content creators needing background research to develop recommendations, reviews, or opinion pieces on various topics.
  • Effective for users seeking popular YouTube videos and articles about a particular subject to compile a research summary in NotebookLM.
  • Beneficial for analysts who want a systematic approach to gathering and organizing topic-specific multimedia content for further analysis.

Technical Details

  • Utilizes yt-dlp for YouTube video collection integrated with NotebookLM's `nlm` CLI for deep analysis.
  • Requires pre-setup confirmation: `nlm` CLI login (`nlm login --check`), and yt-dlp presence in PATH.
  • Custom output paths available via the `RESEARCH_OUTPUT_DIR` environment variable or dialogue specification.
  • Ensures session validity (nlm login lasts around 20 minutes) for seamless operation.

Switch from manual to automated research collection and let AI Research Collector handle the time-consuming task of gathering and organizing multimedia content for your projects. Enhance your productivity with this precise, AI-driven skill tailored for an efficient research workflow.


Source & Licence

This package is built on open-source work published by xiaomoBoy (xiaomoBoy/claude-writing-skills) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

  • Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
  • Format: ZIP archive containing the skill files, documentation and the original licence.
  • Support: support@mcpcart.com — we aim to reply within 2 business days.
  • Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.

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Instant delivery, clean files, clear docs. This is how digital products should be sold. Already bought three more skills.

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