Product photography
Skill yigityildiz0/universal-ai-skill-library/skills/common/product-photography
Plan, generate, edit, or review AI product photography for e-commerce, packaging, ads, catalogs, and product launches. Use for product photos, packshots, hero images, lifestyle scenes, product image sets, studio lighting, or marketplace-ready visuals while preserving product identity and required details.From its SKILL.md
npx -y skills add yigityildiz0/universal-ai-skill-library --skill product-photographyAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
2.6 KB, 443 tokens by cl100k_base, as published. Nobody here has run it
Product Photography
Create a coherent product image set using the active host’s image capability. Do not choose a provider or model automatically.
Intake
Establish the product, non-negotiable identity details, audience, channel, brand constraints, target ratio, and whether a reference image is authoritative. When the product must remain exact, treat every visible label, logo, geometry, color, material, and included accessory as a preservation requirement.
Plan the image set
Choose only shots that serve the channel:
| Need | Reliable shot |
|---|---|
| Listing lead | clean packshot or hero |
| Product understanding | alternate angle and detail |
| Size | scale or in-hand view |
| Use case | lifestyle scene |
| Range | collection or variants |
| Conversion support | feature/included-items frame |
For a full e-commerce set, use 5–9 complementary images rather than repeating the same angle.
Direction
- Match lighting to the material: diffuse for catalog clarity, rim/controlled reflection for premium tech or glass, natural light for believable lifestyle scenes.
- Use a centered, uncluttered composition for packshots; reserve negative space and contextual props for campaign/lifestyle images.
- Specify camera angle, background, shadow, surface, material behavior, and exclusions in the prompt or edit brief.
- Keep one visual system across the set: consistent white balance, perspective, texture treatment, background family, and crop logic.
- Generate or edit one representative frame first; inspect identity before scaling the set.
Verify
- Compare every output with the authoritative product/reference.
- Check text, logo, quantity, ports, seams, labels, geometry, and unwanted invented accessories.
- Check crop, resolution, color space, and marketplace requirements against the channel’s current official rules when relevant.
- Do not state a marketplace requirement from memory when the asset will be published.
Guardrails
- Do not fabricate certification marks, claims, packaging text, reviews, or people using the product without authorization.
- Do not silently alter the product to make it more attractive.
- Keep source assets and generated variants clearly named; do not overwrite the original.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.