AI Video Transcript Keyframes — AI skill for Claude Code
Turn any video into a timestamped transcript + labelled keyframe contact sheets so Claude, ChatGPT or Cursor can actually understand it.
How to install AI Video Transcript Keyframes
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open tanzeeldevAi/ai-video-transcript-keyframes and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AI Video Transcript Keyframes does
Turn any video into a timestamped transcript + labelled keyframe contact sheets so Claude, ChatGPT or Cursor can actually understand it. YouTube, TikTok, Facebook, Instagram or local files. Python, yt-dlp, faster-whisper, ffmpeg.
Alternatives in AI
- Claude Hub — by Claude Did This - A webhook service that connects Claude Code to GitHub repositories, enabling AI-powered c 393 ★
- Vox AI Motion Graphics Generator — 🎬 Turn any topic into a finished Vox-style paper-collage explainer / motion graphics video — script, collage 202 ★
- Analyze Footage — Analyze existing video files using TwelveLabs AI 113 ★
README
Video Ref — Make AI Actually Understand Any Video
**Paste a video link. Get back a folder that Claude, ChatGPT or Cursor can read like a document.**
AI models cannot watch video. This turns any video — YouTube, Facebook, TikTok, Instagram, Vimeo, or a file on your disk — into the two things they *can* read: a **timestamped transcript** and **labelled keyframe contact sheets**. Then you can say *"build me something in this video's style"* and the model is working from real reference material instead of guessing.
[](https://python.org) [](#requirements) [](https://github.com/tanzeeldevAi) [](LICENSE) [](#contributing)
What is this?
You find a video you love — a landing page walkthrough, a viral reel, a UI demo, a lecture — and you want an AI to help you build something like it.
So you paste the link into Claude or ChatGPT. And it can't see it. It reads the title, guesses, and gives you something generic.
**Video Ref fixes that.** Run one command:
python vref.py "https://www.youtube.com/watch?v=XXXXXXXXXXX"
…and about a minute later you have a folder like this:
library/how-i-built-my-landing-page/
REFERENCE.md <- start here, point your AI at this file
transcript.md <- every word, with timestamps
transcript.txt <- the same thing as plain text
meta.json <- title, channel, duration, description, URL
sheets/ <- 3x3 grids of keyframes, each tile stamped with its timestamp
frames/ <- every keyframe as a full-size image
Now you say:
*"Read REFERENCE.md and the contact sheet
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