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    analyze video

    1

    Automated video analysis tool for transcription, OCR, and visual frame description via MCP.

    Free

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    analyze video

    analyze video

    Example session with this skill installed

    Analyze the video at https://www.youtube.com/watch?v=dQw4w9WgXcQ. I need the transcript and a description of what happens on screen.

    • Read your context and instructions
    • Compiled the analyze video
    • Generated the document

    I have completed the analysis of the provided video URL. The process involved transcribing the audio via Whisper and performing a visual analysis of sampled frames.

    Video Analysis Report: dQw4w9WgXcQ

    CategoryDetails
    Duration03:33
    LanguageEnglish (detected)
    StatusAnalysis Complete (Success)

    Transcription Summary

    The audio features a male vocalist performing a pop song. The lyrics center on themes of commitment and persistence. Key phrases detected include "Never gonna give you up," "Never gonna let you down," and "A full commitment's what I'm thinking of."

    Visual Description

    TimecodeVisual Content DescriptionOn-Screen Text
    00:00:15A man with reddish-brown hair in a trench coat dancing in an industrial setting.N/A
    00:01:05Close-up of the singer performing against a black background with bright stage lights.N/A
    00:02:10A bartender performing acrobatic flips behind a wooden bar counter.N/A
    00:03:00The singer dancing in a white outfit with backup dancers in a fenced urban area.N/A

    Technical Metadata

    • Tool Used: analyze_video
    • Frames Sampled: 12
    • Audio Provider: Groq (Whisper-large-v3)
    • Cache Status: Miss (New analysis performed)

    Next steps

    • Would you like me to generate a full Markdown transcript with timestamps?
    • I can extract specific frames as high-resolution images if needed.
    • Do you want a summary optimized for social media metadata?

    analyze-video.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    About this skill

    The problem

    Manually transcribing videos or logging visual changes for accessibility and SEO is time consuming. Developers often struggle to integrate multiple disparate tools like Whisper, OCR, and vision models into a single automated pipeline.

    What it does

    • Transcribes audio content using Whisper via the Groq API for high-speed processing.
    • Extracts on-screen text and phrases using specialized OCR models.
    • Generates frame-by-frame visual descriptions to document scene changes and actions.
    • Handles video fetching automatically from YouTube, Vimeo, or direct URLs via yt-dlp.
    • Manages session caching to prevent redundant API calls and reduce costs.

    Frameworks & tools

    yt-dlp, Whisper (Groq), NVIDIA NIM, OpenAI Vision, and Python.

    Why this beats prompting it yourself

    Standard LLM prompting cannot "see" or "hear" a raw URL without a middleware bridge. This skill abstracts the complex plumbing of downloading, frame sampling, and multi-modal API orchestration into a single MCP tool call.

    Use cases

    • Generating detailed accessibility descriptions and alt-text for video libraries.
    • Creating searchable indexes of webinars by extracting slide text and transcripts.
    • Automating content moderation by auditing visual and verbal triggers in uploaded media.

    Known limitations

    Requires an active internet connection to reach upstream APIs. Local processing of Whisper requires pip installation of faster-whisper via the auto-install flag.

    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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