Product Photoshoot
Read shared execution guidance once per task before using tools. It covers existing authorization, model discovery, optional cost checks, imports, and recovery.
Produce a consistent image set, not a collection of unrelated prompts. The product's geometry, label, color, materials, and brand treatment are the locked anchors.
Prepare
- Confirm the channel, audience, aspect ratios, number of deliverables, background requirements, required copy, and product details that must be exact.
- Use
search_assets to find existing product references, logos, and campaign assets. Import missing references with the platform upload flow.
- Call
get_theme for branded work and identify the usable palette, typography, tone, and logo rules.
- Write a compact shot list, such as hero, clean packshot, detail macro, in-use lifestyle, scale/context, and campaign variation. Include only shots the user needs.
Conduct the workflow in the user's language and preserve all approved product and campaign copy exactly.
Generate
- Default to
image/nano-banana-2 because it is the cost-efficient recommendation for most product work.
- Escalate to
image/nano-banana-pro, image/gpt-image-2.5-sunburst, or image/seedream-5-pro only when exact typography, difficult editing, or premium commercial styling materially benefits.
- Discover with
list_models({ category: "image" }) only when selecting a model; fetch missing settings with get_model_params and reuse them across the set. Estimate planned images only when the user asks about cost or sets a budget.
- Establish a hero direction, reusing an approved reference when supplied. Follow requested review stages; if the user authorizes the complete set, continue without asking for each shot. Repeat locked product facts and use the selected hero as a reference where supported.
- Use
agentic_prompting: false for exact label copy, reference tokens, strict placement, or locked campaign instructions.
Quality control
Compare every image against the source product for silhouette, proportions, cap or closure, logo, label text, materials, colors, and reflections. Also check shadows, contact with surfaces, crop safety, and consistency across the set. Reject attractive images that misrepresent the product.
Tag approved assets consistently with product, campaign, shot type, aspect ratio, and status so video and UGC workflows can reuse them.
1---2name: creativeclaw-product-photoshoot3description: Create a coherent set of campaign-ready product images with Creative Claw. Use for packshots, ecommerce sets, lifestyle scenes, launch campaigns, or several images that must preserve the same product and brand.4---56# Product Photoshoot78Read [shared execution guidance](references/workflow-basics.md) once per task before using tools. It covers existing authorization, model discovery, optional cost checks, imports, and recovery.910Produce a consistent image set, not a collection of unrelated prompts. The product's geometry, label, color, materials, and brand treatment are the locked anchors.1112## Prepare13141. Confirm the channel, audience, aspect ratios, number of deliverables, background requirements, required copy, and product details that must be exact.152. Use `search_assets` to find existing product references, logos, and campaign assets. Import missing references with the platform upload flow.163. Call `get_theme` for branded work and identify the usable palette, typography, tone, and logo rules.174. Write a compact shot list, such as hero, clean packshot, detail macro, in-use lifestyle, scale/context, and campaign variation. Include only shots the user needs.1819Conduct the workflow in the user's language and preserve all approved product and campaign copy exactly.2021## Generate22231. Default to `image/nano-banana-2` because it is the cost-efficient recommendation for most product work.242. Escalate to `image/nano-banana-pro`, `image/gpt-image-2.5-sunburst`, or `image/seedream-5-pro` only when exact typography, difficult editing, or premium commercial styling materially benefits.253. Discover with `list_models({ category: "image" })` only when selecting a model; fetch missing settings with `get_model_params` and reuse them across the set. Estimate planned images only when the user asks about cost or sets a budget.264. Establish a hero direction, reusing an approved reference when supplied. Follow requested review stages; if the user authorizes the complete set, continue without asking for each shot. Repeat locked product facts and use the selected hero as a reference where supported.275. Use `agentic_prompting: false` for exact label copy, reference tokens, strict placement, or locked campaign instructions.2829## Quality control3031Compare every image against the source product for silhouette, proportions, cap or closure, logo, label text, materials, colors, and reflections. Also check shadows, contact with surfaces, crop safety, and consistency across the set. Reject attractive images that misrepresent the product.3233Tag approved assets consistently with product, campaign, shot type, aspect ratio, and status so video and UGC workflows can reuse them.
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