Pmax Video

Tarek Video Generator

⚠️ STRICT PROTOCOL — READ BEFORE ANY TOOL CALL

When the user asks for a video, a reel, an animation, a drift clip, a motion shot, a product demo video, or ANY AI-generated moving image:

1. ONLY call one of the two shell commands below (text-to-video OR from-image). Do not invent your own.
2. NEVER curl a task_server endpoint yourself. The script already does that correctly.
3. NEVER call delegate_task for video generation. There is NO other working video backend on this machine. Delegation will hallucinate success and no file will exist.
4. NEVER use fal_client directly in Python. Use this skill. It handles auth, caching, spend caps, DB logging.
5. NEVER claim a video was generated unless video_tool.py printed a JSON line containing "render_state": "completed" AND "file_path": "/Users/majana-agent/..." — then verify with ls -la <file_path> before telling the user it exists.
6. If the command fails (non-zero exit, timeout, error JSON), tell the user the real error. Do not fall back to another tool. Do not fabricate.

When to use this skill

• "Make me a reel about X"
• "Turn this image into a video"
• "Generate a 5-second clip of Y"
• "Animate the car drifting"
• Anything involving motion, drift, camera movement, animation, reels, stories

Backend

• Server: $TASK_SERVER_URL (set in pmax-tarek .env, points to Studio localhost task_server at http://127.0.0.1:7439)
• Auth: Bearer token from $TASK_TOKEN_FILE (set in .env)
• Worker: ~/mem0-server/image_worker.py — same worker dispatches image + video based on model name
• Output dir: /Users/majana-agent/mem0-server/assets/videos/YYYY-MM/task_N_<hash>.mp4

How to invoke

1) Text-to-video — generate from a prompt

python3 ~/Projects/performancemax/hermes-skills/pmax-video/scripts/video_tool.py text-to-video \
  --client "tint-near-me" \
  --prompt "A black Porsche 911 drifting in a neon-lit garage, smoke clouds rising, cinematic slow-mo" \
  --model kling-v3-pro \
  --aspect 16:9 \
  --duration 5s

2) Image-to-video — animate an existing image

python3 ~/Projects/performancemax/hermes-skills/pmax-video/scripts/video_tool.py from-image \
  --client "tint-near-me" \
  --image /Users/majana-agent/mem0-server/assets/images/2026-04/task_14_66ca091ceed789cb.jpg \
  --prompt "The car drifts, making donuts, fire bursting from the tires" \
  --model kling-v3-i2v \
  --aspect 16:9 \
  --duration 5s

Use image-to-video whenever the user references a previously generated image. Much more coherent than regenerating from scratch.

Output shape

On success:

{"task_id": 15, "render_state": "completed",
 "render_asset_url": "file:///Users/majana-agent/mem0-server/assets/videos/2026-04/task_15_<hash>.mp4",
 "file_path": "/Users/majana-agent/mem0-server/assets/videos/2026-04/task_15_<hash>.mp4",
 "model": "kling-v3-i2v", "kind": "video"}

The script uploads the video to the user's Telegram automatically when TELEGRAM_BOT_TOKEN + TELEGRAM_HOME_CHANNEL are set (they are). You do NOT add MEDIA: tags. You do NOT curl sendVideo. Check telegram_delivery.ok in the JSON — if true, just confirm briefly to the user ("Done — video sent"). If false, relay the real error.

Models — when to pick which

Text-to-video

Image-to-video

Aspect ratios

Durations

• 5s (default, cheaper, faster) — works on all video models
• 10s — supported by Kling + Seedance; not supported on Veo 3

Failure modes

• SPEND_CAP_EXCEEDED — Tarek hit the daily budget. Report to user.
• render_error — model refused prompt (unsafe content), FAL outage, or image-to-video source unreachable. Retry with rephrased prompt or different model.
• Timeout (default 300s) — video jobs can be slow. Use --no-wait + status <task_id> if expecting slow renders.

Related

• pmax-image — sibling skill for static images (use it first to generate a base image, then animate it here)
• ~/mem0-server/image_worker.py — the shared render worker on Studio
• ~/mem0-server/task_server.py — HTTP API, Studio port 7439