branded-graphics
Create finished static branded images with original logos, exact copy and verified dimensions. Use for banners, covers, ads and…
Create a consistent fal e-commerce product photo set from real SKU references. Deliver verified hero, detail and lifestyle images with accurate packaging and channel exports.
Claude Code
$ npx -y skills add fal-ai-community/skills --skill ecommerce-product-photography --agent claude-code
Codex
$ npx skills add fal-ai-community/skills --skill ecommerce-product-photography -a codex -y
Cursor
$ npx skills add fal-ai-community/skills --skill ecommerce-product-photography -a cursor -y
Gemini CLI
$ npx skills add fal-ai-community/skills --skill ecommerce-product-photography -a gemini-cli -y
GitHub Copilot
$ npx skills add fal-ai-community/skills --skill ecommerce-product-photography -a github-copilot -y
OpenCode
$ npx skills add fal-ai-community/skills --skill ecommerce-product-photography -a opencode -y
Windsurf
$ npx skills add fal-ai-community/skills --skill ecommerce-product-photography -a windsurf -y
name: ecommerce-product-photography description: "Create a consistent fal e-commerce product photo set from real SKU references. Deliver verified hero, detail and lifestyle images with accurate packaging and channel exports."
Make a consistent product photo set with the real SKU as the identity source.
Collect SKU IDs, front/back/detail references, dimensions, material, true color, logo/label assets, shot list, channel requirements and budget. Separate product identity edits from deterministic crop, color and export corrections.
1. Map each output to a SKU and reference. Never invent a back view, ingredient label, certification or physical feature absent from the supplied sources. 2. Produce one hero against a suitable background with a currently accessible reference-edit model. Inspect its reference fields and image size contract first. 3. Compare the result with the source: silhouette, proportions, cap, seams, material, label spelling and logo placement. Preserve true color rather than an attractive recolor. 4. Derive detail and lifestyle scenes from the approved reference. Keep scale and light direction plausible. Treat hands, reflections and transparent packaging as separate fidelity risks. Do not scale up a false product detail for a close-up. 5. For pure white/cutout delivery, use a current matting operation where needed and deterministic composition. Keep contact shadows only when the channel permits them. Check current marketplace image rules. 6. Export requested dimensions, color space and format. Keep a clean master before channel crops. Apply the same crop margins and visual product scale across SKUs.
Deliver per-SKU folders, hero/detail/lifestyle files, a contact sheet and manifest. Measure dimensions, background/alpha, crop margins and file sizes. Inspect every label and product feature against the real reference. Reject drift before batch expansion. Identify any SKU or view that lacks a sufficient reference.
Use the installed `fal-media` skill for current model discovery, input contracts, prices, native MCP execution and request recovery. Preserve the user's selected provider, model, inputs, output count and spending limits.
The production checks above work without another domain skill. If a specialist stage needs more guidance, follow `fal-media` to retrieve the relevant published guide and only its needed version-pinned references. Reuse guidance already read. If retrieval is unavailable, retain these local checks and current tool contracts; report any stage that cannot be completed or verified. Do not invent a model, privileged host tool or unavailable renderer to fill the gap.
Keep a manifest of sources, endpoint, actual inputs, request ID, result URL, local file and QA findings. Inspect delivered artifacts and report unverified checks.
For a terminal-only workflow, read the [genmedia production-plan guide](../genmedia/references/production-plans.md) and copy this skill's [example stage plan](assets/plan.json). The guide describes explicit submission, state files and recovery. These examples are optional CLI resources; connected MCP hosts use native fal tools.
Agent skills for fal.ai. The default execution path is the genmedia CLI: discover an endpoint, inspect its schema, run it, poll status when needed, and download outputs.
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