This is an early release preview. You may encounter bugs.
Video Use logo
Unclaimed

Tool generative-media voice

Video Use

Edit videos with coding agents — drop raw footage in a folder, chat, get final.mp4.

C 63/100 GitHub score ? This grade is derived from GitHub signals, not user votes. Open for the full breakdown.
Discussion

01 / Summary

About Video Use.

video-use is an agent skill that edits video through a coding agent such as Claude Code, Codex, Hermes, or OpenClaw. You drop raw footage into a folder, ask the agent to edit it, and it inventories the sources, proposes a strategy, waits for your approval, and renders edit/final.mp4 next to your sources. It handles talking heads, montages, tutorials, travel footage, and interviews without presets.

The model never watches the video; it reads it. One ElevenLabs Scribe call per source produces word-level timestamps, speaker diarization, and audio events, packed into a single takes_packed.md of roughly 12 KB. When a decision needs visual context, such as an ambiguous pause or a retake comparison, a timeline_view tool renders a filmstrip, waveform, and word-label PNG for a time range. This replaces frame dumping (tens of millions of tokens) with a small text file plus a few images.

The pipeline runs transcribe, pack, reason, edit decision list, render, and self-evaluate. The self-eval step runs timeline_view on the rendered output at every cut boundary to catch visual jumps, audio pops, and hidden subtitles, and re-renders up to three times before showing you a preview. Cuts follow speech boundaries and silence gaps, and the skill applies 12 production rules while leaving creative choices open.

  • Filler removal: cuts umm, uh, false starts, and dead space between takes
  • Color grading: applies a grade per segment (warm cinematic, neutral punch, or a custom ffmpeg chain)
  • Audio fades: 30 ms fades at every cut
  • Subtitles: burns in styled captions, two-word uppercase chunks by default
  • Animation overlays: generates overlays through HyperFrames, Remotion, Manim, or PIL, each in a parallel sub-agent
  • Self-evaluation: inspects the render at each cut boundary before presenting it
  • Session memory: persists context in project.md so later sessions resume where you left off
  • Agent-agnostic: registers as a skill with any agent that has shell access, and can run always-on through Browser Use Box

02 / Discussion CREDIBILITY-GATED

Discussion

Reading is open to everyone. Posting and voting need a verified identity or a GitHub grade of B or higher.

  • No discussions yet.

04 / Build

Build with Video Use.

Browse the catalog for frameworks, tools, and harnesses, each scored on real GitHub credibility.

Get Video Use →

Browse the catalog