---

name: video-use-install description: Install video-use into the current agent (Claude Code, Codex, Hermes, Openclaw, etc.) and wire up ffmpeg + the ElevenLabs API key so the user can start editing immediately.

video-use install

Use this file only for first-time install or reconnect. For daily editing, read SKILL.md. Always read helpers/ — that's where the scripts live.

What you're doing

You're setting up a conversation-driven video editor for the user. After install, the user drops raw footage into any folder, runs their agent (claude, codex, etc.) there, and says "edit these into a launch video." You do the rest by reading SKILL.md.

Three things must exist on this machine:

1. The video-use repo cloned somewhere stable.
2. ffmpeg on $PATH (plus optional yt-dlp for online sources).
3. An ElevenLabs API key in .env at the repo root (for Scribe transcription).

And one thing must be true about the current agent:

4. It can discover SKILL.md — either via a global skills directory (~/.claude/skills/, ~/.codex/skills/) or via a CLAUDE.md / system-prompt import.

Install prompt contract

• Do everything yourself. Only ask the user for things you cannot generate — the ElevenLabs API key, and confirmation before brew install.
• Prefer a stable clone path like ~/Developer/video-use (not /tmp, not ~/Downloads).
• The skill references helpers by bare name (transcribe.py, render.py). That works because SKILL.md and helpers/ ship together — keep them as siblings when you register the skill.
• After install, verify by running one real command against one real file. Don't declare success on file-existence checks alone.

Steps

1. Clone to a stable path

test -d ~/Developer/video-use || git clone https://github.com/browser-use/video-use ~/Developer/video-use
cd ~/Developer/video-use

If the repo is already there, git pull --ff-only and continue.

2. Install Python deps

# Prefer uv if available; fall back to pip.
command -v uv >/dev/null && uv sync || pip install -e .

pyproject.toml lists requests, librosa, matplotlib, pillow, numpy. No console scripts — helpers are invoked directly as python helpers/<name>.py.

3. Install ffmpeg (+ optional yt-dlp)

ffmpeg and ffprobe are hard requirements. yt-dlp is only needed if the user wants to pull sources from URLs. Animation engines such as HyperFrames, Remotion, and Manim are installed lazily the first time a project actually needs them.

# macOS
command -v ffmpeg >/dev/null || brew install ffmpeg
command -v yt-dlp >/dev/null || brew install yt-dlp     # optional

# Debian / Ubuntu
# sudo apt-get update && sudo apt-get install -y ffmpeg
# pip install yt-dlp

# Arch
# sudo pacman -S ffmpeg yt-dlp

If brew / apt / pacman requires a sudo prompt, tell the user the exact command and wait. Do not invent a password.

4. Register the skill with the current agent

Figure out which agent you are running under, and register once. A symlink of the whole repo directory is the right shape — helpers/ needs to sit next to SKILL.md.

• Claude Code (~/.claude/ present):

  mkdir -p ~/.claude/skills
  ln -sfn ~/Developer/video-use ~/.claude/skills/video-use
  

• Codex ($CODEX_HOME set, or ~/.codex/ present):

  mkdir -p "${CODEX_HOME:-$HOME/.codex}/skills"
  ln -sfn ~/Developer/video-use "${CODEX_HOME:-$HOME/.codex}/skills/video-use"
  

• Hermes / Openclaw / another agent with a skills directory: symlink ~/Developer/video-use into that agent's skills directory under the name video-use. If the agent has no skills directory, add a line to its system prompt / config pointing at ~/Developer/video-use/SKILL.md (e.g. an @~/Developer/video-use/SKILL.md import in a CLAUDE.md-equivalent).

If you can't tell which agent you're in, ask the user once: "which agent am I running under — Claude Code, Codex, or something else?" Then pick the right target.

5. ElevenLabs API key

Scribe (ElevenLabs) does all transcription. Without a key, nothing transcribes.

1. Check existing state in this order and stop at the first hit:

   # a) env var already exported
   [ -n "$ELEVENLABS_API_KEY" ] && echo "env"
   # b) .env at repo root already has it
   grep -q '^ELEVENLABS_API_KEY=..' ~/Developer/video-use/.env 2>/dev/null && echo "dotenv"
   

2. If neither is set, ask the user exactly once:

   I need an ElevenLabs API key for transcription (word-level timestamps, speaker diarization, filler tagging). Grab one at https://elevenlabs.io/app/settings/api-keys and paste it here — I'll write it to ~/Developer/video-use/.env. Or if you already have it exported as ELEVENLABS_API_KEY, say "use env" and I'll skip.

   When the user pastes a key, write it to ~/Developer/video-use/.env:

   printf 'ELEVENLABS_API_KEY=%s\n' "$KEY" > ~/Developer/video-use/.env
   chmod 600 ~/Developer/video-use/.env
   

   Never echo the key back in tool output. Never commit .env.

3. Sanity check with a cheap, quota-free call:

   curl -s -o /dev/null -w '%{http_code}\n' \
     -H "xi-api-key: $(sed -n 's/^ELEVENLABS_API_KEY=//p' ~/Developer/video-use/.env)" \
     https://api.elevenlabs.io/v1/user
   

   200 means the key works. 401 means the user pasted a wrong/expired key — ask once more and stop. Anything else (network, 5xx), move on and verify during first real transcription.

6. Verify end-to-end

Run one real thing. Prefer the lightest verification that still proves the pipeline is wired up:

python ~/Developer/video-use/helpers/timeline_view.py --help >/dev/null && echo "helpers OK"
ffprobe -version | head -1

Full transcription test is optional at install time — it burns Scribe credits. Better to wait until the user hands you their first clip.

7. Hand off

Tell the user, in one short message:

• Where the skill is installed (~/Developer/video-use).
• That they should cd into their footage folder and start their agent there (e.g. claude).
• That a good first message is: "edit these into a launch video" or "inventory these takes and propose a strategy."
• That all outputs land in <videos_dir>/edit/ — the repo stays clean.

Keeping the skill current

• cd ~/Developer/video-use && git pull --ff-only pulls the latest code. The symlink auto-picks it up on the next run.
• If pyproject.toml changed deps, re-run uv sync / pip install -e . after pulling.

Cold-start reminders

• Symlink the whole directory, not just SKILL.md. The helpers need to sit next to it.
• If .env exists but the key is empty, treat it the same as missing — don't assume existence means validity.
• ffmpeg from static builds works fine. Any modern (≥ 4.x) build is enough.
• yt-dlp is optional. Don't block install on it; install lazily the first time a user asks to pull from a URL.
• Node.js/npm are only needed for HyperFrames or Remotion slots. HyperFrames currently requires Node.js 22+.
• HyperFrames, Remotion, and Manim are optional animation engines. Don't install or prefer one globally during setup; pick the engine per animation slot in SKILL.md. HyperFrames can run through npx --yes hyperframes ... in the slot directory. Remotion can be scaffolded with npx create-video@latest or installed inside the slot before rendering.
• Never run transcription as part of install verification unless the user explicitly asks — Scribe costs real money.
• If the user is on Linux without a package manager Claude recognizes, print the manual ffmpeg install URL and wait rather than guessing.