{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "scenario-labs-skills--shoot-product-packshots-from-a-real-photo",
 "repo": "scenario-labs/skills",
 "repo_url": "https://github.com/scenario-labs/skills",
 "repo_slug": "scenario-labs-skills",
 "title": "Shoot product packshots and scenes from a real photo",
 "page_title": "How to shoot product packshots and scenes from a real photo with Skills",
 "summary": "Turn one real product photo into packshots and lifestyle scenes with label checks.",
 "who": "A small brand marketer who has one good product photo and needs store and social images this week.",
 "problem": "Re-shooting every product in new settings costs time, and generated edits can alter the label text.",
 "outcome": "Packshots and lifestyle scenes from the original photo, with label fidelity checked before use.",
 "steps": [
  "`npx skills add scenario-labs/skills --skill scenario`",
  "`npx skills add scenario-labs/skills --skill scenario-product-shots` (inferred, check the README)",
  "Give the agent your product photo and a list of target scenes.",
  "Ask the agent to run the label-fidelity gate on each output and reject any that change the text.",
  "Have the agent download the approved images."
 ],
 "agent_prompt": "Using the scenario-labs/skills repo, create packshots and lifestyle scenes from the product photo <photo-path> for the scenes in <scene-list>. Save approved images to <output-folder>. Verify that the label text in each approved image matches the original photo.",
 "agents": [
  "claude-code",
  "cursor",
  "codex"
 ],
 "difficulty": "Intermediate",
 "time": "30 minutes",
 "basis": "readme",
 "caveat": "The label-fidelity gate reduces risk but a person should still compare the final label against the real product before publishing.",
 "category": "Content",
 "tags": [
  "Content"
 ],
 "lang": "python",
 "requirements": [
  "A Scenario account, signed in through OAuth or an API key",
  "An AI coding agent that supports Agent Skills, such as Claude Code, Cursor, or Codex",
  "npx, to run the skills installer",
  "The Scenario MCP server connected to the agent at https://mcp.scenario.com/mcp"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/scenario-labs-skills/shoot-product-packshots-from-a-real-photo/",
 "md": "https://dedupedai.com/use-cases/scenario-labs-skills/shoot-product-packshots-from-a-real-photo/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/scenario-labs-skills--shoot-product-packshots-from-a-real-photo.json",
 "api_version": "v1"
}