# browser-use/video-use

Source: [GitHub](https://github.com/browser-use/video-use)  
Feed7 permalink: https://feed7.dev/p/video-use-1sjph9l  
Published: Unknown  
Trust: Needs Review (needs_review)

## Why Included

browser-use's video-editing skill for coding agents: word-level transcripts become a ~12KB text file the agent cuts against — filler removal, subtitles, color grading — rendered via FFmpeg with self-checks.

## Source Summary

**The gist** video-use lets a coding agent edit video by working over text instead of frames: **ElevenLabs Scribe** produces word-level timestamps packed into a **~12KB markdown file**, with PNG filmstrips generated only at decision points. Built-ins cover **filler-word removal**, subtitles, color grading, **30ms audio fades** at cuts, and animation overlays via Remotion or Manim.

## Practical Implication

**Why it matters** The token economics are the interesting part: the text-first representation sidesteps frame-by-frame analysis the project pegs at tens of millions of tokens, and its **render-then-self-evaluate loop** (max **3 fix iterations**) is a transferable pattern for any agent task with expensive outputs.

## Agent-Ready Context

**The gist** video-use lets a coding agent edit video by working over text instead of frames: **ElevenLabs Scribe** produces word-level timestamps packed into a **~12KB markdown file**, with PNG filmstrips generated only at decision points. Built-ins cover **filler-word removal**, subtitles, color grading, **30ms audio fades** at cuts, and animation overlays via Remotion or Manim.

**Why it matters** The token economics are the interesting part: the text-first representation sidesteps frame-by-frame analysis the project pegs at tens of millions of tokens, and its **render-then-self-evaluate loop** (max **3 fix iterations**) is a transferable pattern for any agent task with expensive outputs.

**Watch out** It needs an **ElevenLabs API key** and **FFmpeg**, and install is still clone-and-symlink into your skills directory rather than a package. Cut quality rests on transcription accuracy, so noisy or heavily multi-speaker audio will degrade results.

## Context Map

- Layer: Unclassified
- Domains: None
- Topics: None

## Uncertainty

- It needs an **ElevenLabs API key** and **FFmpeg**, and install is still clone-and-symlink into your skills directory rather than a package. Cut quality rests on transcription accuracy, so noisy or heavily multi-speaker audio will degrade results.

## Agent Instruction

Use this item as source-backed context. Do not invent claims beyond the linked source. If this item conflicts with another source, call out the conflict.