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    Youtube Analyzer

    by Pankaj Kumar

    Automatically extract and analyze transcripts from YouTube videos and Shorts for summaries, Q&A, and fact-checking.

    Updated Jun 2026
    0 installs

    Free

    Included in download

    • Downloadable skill package
    • 2 permissions declared
    • Instant install

    Sample input

    Summarize the main technical hurdles discussed in this video: https://www.youtube.com/watch?v=dQw4w9WgXcQ

    Sample output

    The video highlights three primary technical hurdles:

    1. Network Latency: Minimizing delay in global data transmission.
    2. Scalability: Managing concurrent user growth without service degradation.
    3. Security: Implementing end-to-end encryption while maintaining performance.

    About This Skill

    Here is the full description of the project based on the provided file structure of 'youtube-analyzer.zip': Project Name: YouTube Analyzer This project is a utility designed to download, process, and analyze YouTube video content and transcripts. It helps users extract valuable insights, summaries, and data from YouTube videos efficiently. File Structure and Description 1. youtube-analyzer/README.md This is the main documentation file for the project. It typically contains setup instructions, system dependencies, installation guides, and examples of how to run the tool. 2. youtube-analyzer/SKILL.md This file outlines the specific capabilities, logic, or processing features of the analyzer. It defines what the tool can do, such as processing natural language or interacting with external AI models. 3. youtube-analyzer/scripts/get_transcript.py This is a core Python script responsible for interacting with YouTube's data layers or APIs. Its main function is to automatically fetch and download the text transcript or subtitles of a given YouTube video URL. 4. youtube-analyzer/references/analysis-modes.md This reference document details the various methods available for processing the downloaded transcript. It explains different modes of analysis, such as generating summaries, extracting key topics, or sentiment tracking. How It Works 1. Extraction: The script get_transcript.py is executed with a YouTube link to pull the raw text or timed captions. 2. Evaluation: The system processes this text according to the guidelines laid out in analysis-modes.md. 3. Documentation: The overall usage and results are structured following the guidelines provided in the README and SKILL markdown files.

    Use Cases

    • Summarize long-form videos into concise, actionable bullet points
    • Search for specific keywords or topics within a 1-hour+ video transcript
    • Extract "action items" and tasks from recorded webinars or tutorials
    • Fact-check claims made in videos against provided documentation
    • Compare the arguments or content of two different YouTube videos side-by-side

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    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell
    Network Access

    Allowed Hosts

    www.youtube.com
    youtu.be

    File Scopes

    youtube-analyzer/**

    Frequently Asked Questions

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