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Update to Givon AI

Snapshot Oct 28, 2026 · 13:10 UTC · version 0.6.2

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{
  "description": "When a person must wear or hold the product in the frame: choose the shot size and pose so that the product stays recognizable and its cut, color, material and details survive. Not needed when no person appears, such as a packshot or a still-life scene.",
  "included_files": [],
  "name": "product-on-model",
  "skill_md_contents": "---\nname: product-on-model\ndescription: \"When a person must wear or hold the product in the frame: choose the shot size and pose so that the product stays recognizable and its cut, color, material and details survive. Not needed when no person appears, such as a packshot or a still-life scene.\"\nmetadata:\n  version: skill-render-ea6bd93365667f6d\n---\n\n# Product on a person\n\nBuild a frame in which the product stays recognizable, while the person, the pose and the setting\nserve the user's idea.\n\n## Product accuracy\n\n- Carry over the meaningful traits of the source product: cut, silhouette, color, material,\n  print, logo, lettering and hardware.\n- Name explicitly the detail that matters to show, and choose an angle where it reads.\n- For small elements, use a separate close-up when the chosen generation model does not hold\n  them in a wider shot.\n\n## Frame and pose\n\nChoose the shot size and the pose for the request and for the product's visibility: a wide shot\nfor the silhouette, a tighter frame for an accessory or for how the product is used, a close-up\nfor material and details. Follow the user's scene and mood; when the brief is incomplete, choose\na consistent solution from the context.\n"
}

SHA-256 of public snapshot: aece6891a99d408ba10e01f76e5d6122445fa1f5c7a823e9b66b8838cff6047c