Individual skill
gpt-image-2-ecommerce
Plan, prompt, and review product-preserving ecommerce image sets for GPT Image 2 or other image models. Use when the user needs marketplace main images, white-background product photos, product detail page or PDP sequences, lifestyle scenes, feature graphics, ad crops, product-image prompt packs, or QA against source product references. Also use when generated product images change geometry, color, material, labels, logos, controls, ports, packaging, accessory counts, or verified claims.
skills/gpt-image-2-ecommerce/SKILL.md
Source commit 88aa975b4821309d5b8bb8280e21619dac907a22
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- Last checked
- Nov 5, 2026
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- Repository stars (not skill ratings)
- 13
- Repository last updated
- Jul 16, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ecommerce Repository topic
- gpt-image-2 Repository topic
- image-generation Repository topic
- marketplace Repository topic
- pdp Repository topic
- product-images Repository topic
- product-photography Repository topic
- prompt-engineering Repository topic
- engineering Derived category
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SKILL.mdcore · 5,427 bytesSKILL.mdcore · 5,427 bytesSKILL.mdcore · 5,427 bytesSKILL.mdcore · 5,427 bytesSKILL.mdcore · 5,427 bytesSKILL.mdcore · 5,427 bytesSKILL.mdcore · 5,427 bytesagents/openai.yamlasset · 279 bytesassets/brief-template.jsonasset · 1,658 bytesreferences/brief-format.mddoc · 1,713 bytesreferences/prompt-patterns.mddoc · 3,444 bytesreferences/qa-checklist.mddoc · 2,479 bytesscripts/validate_brief.pyruns · 4,102 bytes
Read excerpt
# GPT Image 2 Ecommerce
Build the smallest useful ecommerce image set while treating source product references and verified facts as immutable evidence. Optimize for product accuracy and purchase clarity before style variety.
## Non-negotiable rules
- Treat source images, packaging, manuals, and user-confirmed facts as the only product truth.
- Never invent dimensions, materials, certifications, performance data, ingredients, compatibility, awards, reviews, or included accessories.
- Separate invariants from allowed changes in every prompt.
- Assign one primary sales job to each image.
- Do not ask an image model to typeset factual packaging or dense sales copy when exact text matters. Prefer an unlettered base image and downstream layout.
- Reject an attractive asset if it changes the product or communicates an unsupported claim.
- Use the fewest assets that cover the purchase questions. Do not fill a fixed template count.
