@GitTrend0x: Claude Code can now edit videos too! This SKILL is 100% free and open source. ✓ Automatically create animations ✓ Generate subtitles in different styles ✓ Remove silence, errors, and filler words https://github.com/browser-use/video-us…

Claude Code can now edit videos too! This SKILL is 100% free and open source. ✓ Auto-create animations ✓ Generate subtitles in different styles ✓ Remove silences, errors, and filler words https://t.co/JPE1gNwAu5 https://t.co/WVaMtphtXo — # browser-use/video-use Source: https://github.com/browser-use/video-use # video-use Introducing video-use — edit videos with Claude Code. 100% open source. Drop raw footage in a folder, chat with Claude Code, get final.mp4 back. Works for any content — talking heads, montages, tutorials, travel, interviews — without presets or menus. ## What it does - Cuts out filler words (umm, uh, false starts) and dead space between takes - Auto color grades every segment (warm cinematic, neutral punch, or any custom ffmpeg chain) - 30ms audio fades at every cut so you never hear a pop - Burns subtitles in your style — 2-word UPPERCASE chunks by default, fully customizable - Generates animation overlays via HyperFrames (https://github.com/heygen-com/hyperframes), Remotion (https://www.remotion.dev/), Manim (https://www.manim.community/), or PIL — spawned in parallel sub-agents, one per animation - Self-evaluates the rendered output at every cut boundary before showing you anything - Persists session memory in project.md so next week’s session picks up where you left off ## Setup prompt Paste into Claude Code, Codex, Hermes, Openclaw, or any agent with shell access: text Set up https://github.com/browser-use/video-use for me. Read install.md first to install this repo, wire up ffmpeg, register the skill with whichever agent you're running under, and set up the ElevenLabs API key — ask me to paste it when you need it. Then read SKILL.md for daily usage, and always read helpers/ because that's where the editing scripts live. After install, don't transcribe anything on your own — just tell me it's ready and wait for me to drop footage into a folder. The agent handles the clone, dependencies, skill registration, and prompts you once for your ElevenLabs API key (grab one at elevenlabs.io/app/settings/api-keys (https://elevenlabs.io/app/settings/api-keys)). Then point your agent at a folder of raw takes: bash cd /path/to/your/videos claude # or codex, hermes, etc. For always-on editing from your own VPS or Telegram, run the agent through Browser Use Box (https://browser-use.com/bux). Watch the 15-second demo (https://www.tiktok.com/@browser_use/video/7639824093721758989). And in the session: > edit these into a launch video It inventories the sources, proposes a strategy, waits for your OK, then produces edit/final.mp4 next to your sources. All outputs live in /edit/ — the skill directory stays clean. ## Manual install If you’d rather do it by hand: bash # 1. Clone and symlink into your agent's skills directory git clone https://github.com/browser-use/video-use ~/Developer/video-use ln -sfn ~/Developer/video-use ~/.claude/skills/video-use # Claude Code # ln -sfn ~/Developer/video-use ~/.codex/skills/video-use # Codex # 2. Install deps cd ~/Developer/video-use uv sync # or: pip install -e . brew install ffmpeg # required brew install yt-dlp # optional, for downloading online sources # 3. Add your ElevenLabs API key cp .env.example .env $EDITOR .env # ELEVENLABS_API_KEY=... ## How it works The LLM never watches the video. It reads it — through two layers that together give it everything it needs to cut with word-boundary precision. Layer 1 — Audio transcript (always loaded). One ElevenLabs Scribe call per source gives word-level timestamps, speaker diarization, and audio events ((laughter), (applause), (sigh)). All takes pack into a single ~12KB takes_packed.md — the LLM’s primary reading view. ## C0103 (duration: 43.0s, 8 phrases) [002.52-005.36] S0 Ninety percent of what a web agent does is completely wasted. [006.08-006.74] S0 We fixed this. Layer 2 — Visual composite (on demand). timeline_view produces a filmstrip + waveform + word labels PNG for any time range. Called only at decision points — ambiguous pauses, retake comparisons, cut-point sanity checks. > Naive approach: 30,000 frames × 1,500 tokens = 45M tokens of noise. > Video Use: 12KB text + a handful of PNGs. Same idea as browser-use giving an LLM a structured DOM instead of a screenshot — but for video. ## Pipeline Transcribe ──> Pack ──> LLM Reasons ──> EDL ──> Render ──> Self-Eval │ └─ issue? fix + re-render (max 3) The self-eval loop runs timeline_view on the rendered output at every cut boundary — catches visual jumps, audio pops, hidden subtitles. You see the preview only after it passes. ## Design principles 1. Text + on-demand visuals. No frame-dumping. The transcript is the surface. 2. Audio is primary, visuals follow. Cuts come from speech boundaries and silence gaps. 3. Ask → confirm → execute → self-eval → persist. Never touch the cut without strategy approval. 4. Zero assumptions about content type. Look, ask, then edit. 5. 12 hard rules, artistic freedom elsewhere. Production-correctness is non-negotiable. Taste isn’t. See SKILL.md for the full production rules and editing craft.