Youtube Analyzer

    1

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

    Free

    14 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    youtube-analyzer

    Example session with this skill installed

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

    • Read your context and instructions
    • Compiled the youtube-analyzer

    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.

    Connects securely to your tools. The creator never sees your data.

    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
    5. Extraction: The script get_transcript.py is executed with a YouTube link to pull the raw text or timed captions.
    6. Evaluation: The system processes this text according to the guidelines laid out in analysis-modes.md.
    7. Documentation: The overall usage and results are structured following the guidelines provided in the README and SKILL markdown files.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    14 installs

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    Security scanned

    Verified clean 3 months ago

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    Listed3 months ago

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