← Givon AICONTENT HISTORY

Update to Givon AI

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

Collection source: downloaded plugin package.

WHAT CHANGED

First saved snapshot

No earlier snapshot is available to establish a change.

Save Givon AI and check future changes in Following.

Up to 10 plugins free · no card required.

Compare saved observations

Download comparison JSON
Full technical diff · 0 changed fields
Full snapshot data
{
  "description": "For a series of several photos of the same product: a separate brief per shot, with shared identity anchors and deliberate variation in angle, setting or light. Not needed for a single shot.",
  "included_files": [],
  "name": "neuro-photoshoot",
  "skill_md_contents": "---\nname: neuro-photoshoot\ndescription: \"For a series of several photos of the same product: a separate brief per shot, with shared identity anchors and deliberate variation in angle, setting or light. Not needed for a single shot.\"\nmetadata:\n  version: skill-render-ea6bd93365667f6d\n---\n\n# Neuro photoshoot: a series from a brief\n\nThe method's task is a series of shots of one product with exactly the degree of visual\nconnection and variation the user asked for. Consistency rests on the anchors chosen for the series and on the\nreference capabilities of the chosen model.\n\n## Stable anchors and variables\n\nBefore the series, fix only the shared anchors that must stay stable:\n\n- the background and its character (white / neutral / a specific scene);\n- the character of the light (soft studio / directional / natural) and its direction;\n- the palette and the overall mood (clean e-commerce / warm lifestyle / premium);\n- the product itself as a fact: its cut, color, material, logo and hardware stay as in the\n  source.\n\nBackground, light, palette and mood may be shared or may change between frames; the goal of the\nseries decides this, not a fixed template.\n\n## Set of angles\n\nA series for a listing usually takes angles that complement each other rather than duplicates:\n\n- the main frame — the product large and whole, from the front;\n- a detail — a close-up of the texture, a seam, the hardware or the key feature;\n- in context — the product in hands or in use;\n- lifestyle or scene — the product in an interior or a setting of use.\n\nAdapt the set to the product type and the request. Do not chase the number of frames; make sure\neach frame shows something new and fits the purpose of the series.\n\n## Keeping the series unified\n\n1. Define the stable anchors and the variables from the user's goal.\n2. Give each frame a self-contained brief with the shared anchors it needs and its own changes.\n3. For the identity you need to hold, use the reference controls and limits from the chosen\n   model's live contract.\n\n## Light, background, format\n\nKeep light, background and format shared only when this is part of the chosen consistency or the\npurpose of the series; otherwise follow the requested variation. Take the marketplace's exact\nsize and background requirements from current verified materials when they affect the result.\n"
}

SHA-256 of public snapshot: a18cc3ff674d2266bf2b97fbdcf4c57c15151b45a6dffd81d7f1ef2e51510dfa