[ CONTENT_PRODUCTION ]
Frame-by-Frame Video Analysis Skill
What it is
Any video URL turned into a timestamped structural breakdown.

[ THE_PROBLEM ]
Why this existed
Understanding why a piece of video works means watching it repeatedly and taking notes, which nobody does systematically enough to learn from.
[ WHAT_WE_BUILT ]
What we built
A packaged agent skill that downloads a video from YouTube, Instagram or any supported site, uploads it to a multimodal model, polls until processing completes, and streams back a per-interval breakdown: timestamp, what is happening, scene description covering setting, lighting, colour, composition and mood, and an image-generation prompt to recreate that exact frame. Self-bootstrapping — the setup script creates the environment, installs dependencies and scaffolds config on first run.
- Downloads video from YouTube, Instagram or any supported site
- Uploads to a multimodal model and polls until processing completes
- Emits per-interval breakdown: timestamp, action, scene description, image prompt
- Scene descriptions covering setting, lighting, colour, composition and mood
- Self-bootstrapping setup creating the environment and scaffolding config on first run
[ HOW_IT_IS_USED ]
How a company uses it
A content team reverse-engineers what makes a competitor's video work — shot by shot — instead of watching it four times and taking notes.
Built with
[ COMMON_QUESTIONS ]
Questions clients ask
What is the image-generation prompt for?
It turns analysis into production input. Having a prompt that recreates a specific frame means the breakdown feeds directly into storyboarding or reference generation rather than sitting in a document.
Why package it as an agent skill?
So it is invoked in the flow of work — asking for a breakdown in the tool you are already using — rather than being another application to remember exists. Self-bootstrapping matters for the same reason: a setup step is where adoption dies.
Can it analyse long videos?
Yes, though processing time and cost scale with length. For competitive analysis the useful unit is usually a short-form video or a segment rather than a full episode.
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