Update to fal

{
  "name": "fan-cam",
  "description": "Create personalized live sports broadcast fan-cam videos with fal.ai. Use for realistic spectator cutaways, stadium crowd reactions, broadcast-style screenshots, scoreboard overlays, TV bugs, and identity-preserving fan reaction videos from a user photo.\n",
  "included_files": [],
  "skill_md_contents": "---\nname: fan-cam\ndescription: >\n  Create personalized live sports broadcast fan-cam videos with fal.ai. Use\n  for realistic spectator cutaways, stadium crowd reactions, broadcast-style\n  screenshots, scoreboard overlays, TV bugs, and identity-preserving fan\n  reaction videos from a user photo.\n---\n\n# Fan Cam\n\nUse when the user wants a personalized spectator video that feels like a live\nsports broadcast cutaway. Execution runs through fal.ai MCP tools.\n\n## Required Inputs\n\n- User photo or approved portrait reference.\n- Sport, team/event context, venue, and crowd mood.\n- Reaction: shocked, celebrating, nervous, chanting, laughing, emotional.\n- Broadcast format: close-up cutaway, crowd pan, scoreboard moment, replay.\n- Duration and crop, usually 9:16 or 16:9.\n\n## Production Pattern\n\n1. Upload the portrait reference if local.\n2. Generate a broadcast-still frame that preserves identity.\n3. Use image-to-video from that approved frame.\n4. Add sports broadcast details in prompt only when they are generic or\n   user-provided. Do not invent real network marks or false event claims.\n5. Review identity, crowd plausibility, scoreboard/text artifacts, and motion.\n\n## Prompt Guardrails\n\n- Keep the person recognizable from the reference.\n- Use generic broadcast styling unless the user supplies exact rights-safe\n  graphics.\n- Avoid fake readable scoreboards unless the user supplies exact text.\n- Keep motion natural: cheering, gasping, standing, waving, phone held up.\n\n## Model Choices\n\n- Identity-preserving frame: `openai/gpt-image-2/edit` or another strong edit\n  endpoint after schema inspection.\n- Broadcast video: Kling v3 image-to-video or Seedance image-to-video,\n  depending on available controls and quality target.\n\n## Quality Bar\n\n- Person remains recognizable.\n- Broadcast frame feels live, not posed studio content.\n- Crowd and venue support the sport.\n- Any text/logos are absent, generic, or explicitly provided.\n"
}