Works with the AI tools you already use
analyze video
Automated video analysis tool for transcription, OCR, and visual frame description via MCP.
Free
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
| Category | Details |
|---|---|
| Duration | 03:33 |
| Language | English (detected) |
| Status | Analysis 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
| Timecode | Visual Content Description | On-Screen Text |
|---|---|---|
| 00:00:15 | A man with reddish-brown hair in a trench coat dancing in an industrial setting. | N/A |
| 00:01:05 | Close-up of the singer performing against a black background with bright stage lights. | N/A |
| 00:02:10 | A bartender performing acrobatic flips behind a wooden bar counter. | N/A |
| 00:03:00 | The 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
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.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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