by beatra-ai
AI product photography agent skill for Claude Code, Codex & OpenClaw: turn a real product photo into studio-quality ecommerce images, lifestyle scenes, and marketplace hero shots. AI商品图 · 电商产品图
# Add to your Claude Code skills
git clone https://github.com/beatra-ai/ai-product-photography-skillGuides for using ai agents skills like ai-product-photography-skill.
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ai-product-photography-skill is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by beatra-ai. AI product photography agent skill for Claude Code, Codex & OpenClaw: turn a real product photo into studio-quality ecommerce images, lifestyle scenes, and marketplace hero shots. AI商品图 · 电商产品图. It has 0 GitHub stars.
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Clone the repository with "git clone https://github.com/beatra-ai/ai-product-photography-skill" and add it to your Claude Code skills directory (see the Installation section above).
ai-product-photography-skill is primarily written in Python. It is open-source under beatra-ai on GitHub, so you can review or fork the full source.
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ai-product-photography-skill vs everything claude code
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Turn a real product photo into studio-quality ecommerce images and lifestyle scenes, from inside Claude Code, Codex, or OpenClaw.
[!IMPORTANT] Rendering needs a Beatra account and uses credits. The skill itself is free to install.
| Question | Answer |
|---|---|
| What it does | Transform a real product photo into a studio-quality ecommerce image, lifestyle scene, or marketplace-ready hero shot with clean backgrounds, professional lighting, and composition guided by confirmed product details. |
| Requirements | Python 3.10+ and an agent that loads SKILL.md |
| Cost | Free to install. Each render uses credits on your Beatra account, and paid steps run only when you ask for that exact render or approve its card. |
| Works with | Claude Code, Codex, OpenClaw |
A cluttered kitchen-counter phone snapshot of a fictional rosehip face oil, OLUNEA (itself AI-generated as the demo input), turned into a white-background studio listing image with the label text and bottle shape unchanged. AI-generated with Beatra.
| Skill | Entry point | Version |
|---|---|---|
product-photo-studio |
SKILL.md | 0.2.0 |
This repository is published automatically from beatra-ai/beatra-skills. Report issues there.
With the skills CLI:
npx skills add beatra-ai/ai-product-photography-skill
With the GitHub CLI:
gh skill install beatra-ai/ai-product-photography-skill product-photo-studio
Or clone this repository and copy skills/product-photo-studio into ~/.claude/skills/ for Claude Code,
~/.agents/skills/ for Codex, or ~/.openclaw/skills/ for OpenClaw.
Or paste this into your agent:
Install the product-photo-studio skill from https://github.com/beatra-ai/ai-product-photography-skill (folder skills/product-photo-studio), then follow its SKILL.md to connect my Beatra account.
The same OLUNEA bottle from the phone snapshot placed in a marble bathroom-vanity lifestyle scene with soft window light, label and shape kept as in the source. AI-generated with Beatra.
Prompt:
Professional lifestyle product photo for social media. Image 1 is the product reference: the dropper bottle standing on the counter. Match its shape, color, label, label text, and proportions closely, and keep the label text exactly as it appears in Image 1. Leave out the kitchen counter and all other objects from Image 1. Place only the bottle upright on a white marble bathroom vanity, facing the camera, slightly right of center, with a folded linen hand towel and a small sprig of dried rose hips softly out of focus in the background, smaller than the bottle. Soft diffused window light from the left, warm neutral color temperature, gentle highlight on the glass, shallow depth of field with the bottle sharp and the background soft, natural contact shadow falling to the right, clean product edges, consistent lighting direction, no halo or fringe. No added text, logos, or watermarks.
The source photo and confirmed shape, color, label, proportions, materials, and included pieces become the visual reference for the new background and lighting.
Yes. Share the target marketplace and its current image guidance, then choose a clean white background, even studio lighting, and suitable product framing.
Yes. Describe the desired setting—a kitchen counter, wooden table, bathroom shelf, or seasonal backdrop—and the product is placed in that scene with matching lighting and natural shadow.
Yes. Use the selected image as the base and name the reflection, shadow, edge, color, or small defect that needs a focused adjustment.
Each installed skill checks for a new version at most once a day, verifies the
official archive before replacing itself, and leaves your installation untouched
if anything fails. Turn it off at any time — see
references/automatic-updates-and-safety.md inside the skill.
MIT-0 — free to use, modify, and redistribute, including commercially. No attribution required. Same terms as these skills carry on ClawHub.