Youtube Analyzer

    1

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

    Free

    47 usesSecurity scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 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.

    • Only works on videos with manual or auto-captions
    • Accuracy depends on transcription quality
    • Limited to 11-char video IDs via Python script

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    47 uses

    Times used to date

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    Trust & safety

    Security scan

    Security scan passed 4 months ago

    • Free with an Agensi account

    Requires

    Youtube
    Python

    Permissions

    Terminal / Shell
    Network Access

    Allowed Hosts

    www.youtube.com
    Listed4 months ago

    What's inside

    Frequently Asked Questions

    This skill allows your AI agent to automatically pull transcripts and subtitles from standard YouTube videos and Shorts, enabling it to perform tasks like summarization, fact-checking, and deep content analysis.

    The package includes the core Python logic for transcript extraction, documentation on various analysis modes (like Q&A and sentiment tracking), and a comprehensive setup guide.

    Yes, the skill is designed to handle both standard long-form YouTube videos and Shorts, allowing for a wide range of content processing.

    While primarily developed as a Python-based utility, the logic and SKILL metadata are designed to be easily integrated into broader AI agent frameworks and LLM-powered workflows.

    Setup is straightforward; you will need Python installed on your system to run the core transcript extraction script as detailed in the provided README.

    Your purchase includes the current version of the skill; please check the marketplace entry for information regarding future updates or maintenance releases from the developer.

    New in Writing & Content

    Free