by beatra-ai
AI image generator agent skill for Claude Code, Codex & OpenClaw: generate, compose, and edit product images, brand visuals, posters, social graphics, illustrations, and photo variations. AI图片生成 · 文生图 · AI修图
# Add to your Claude Code skills
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ai-image-generator-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 image generator agent skill for Claude Code, Codex & OpenClaw: generate, compose, and edit product images, brand visuals, posters, social graphics, illustrations, and photo variations. AI图片生成 · 文生图 · AI修图. It has 0 GitHub stars.
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Clone the repository with "git clone https://github.com/beatra-ai/ai-image-generator-skill" and add it to your Claude Code skills directory (see the Installation section above).
ai-image-generator-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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Generate, compose, and edit product images, brand visuals, posters, social graphics, illustrations, and photo variations, 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 | Generate, compose, and edit product images, brand visuals, posters, social graphics, illustrations, and photo variations. |
| 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 sunlit summer photo of a fictional sage-green ceramic pour-over coffee set, then the same image edited into a snowy winter evening with lamplight while the set and its layout stay in place. AI-generated with Beatra.
| Skill | Entry point | Version |
|---|---|---|
ai-image-generation-studio |
SKILL.md | 0.1.4 |
This repository is published automatically from beatra-ai/beatra-skills. Report issues there.
With the skills CLI:
npx skills add beatra-ai/ai-image-generator-skill
With the GitHub CLI:
gh skill install beatra-ai/ai-image-generator-skill ai-image-generation-studio
Or clone this repository and copy skills/ai-image-generation-studio into ~/.claude/skills/ for Claude Code,
~/.agents/skills/ for Codex, or ~/.openclaw/skills/ for OpenClaw.
Or paste this into your agent:
Install the ai-image-generation-studio skill from https://github.com/beatra-ai/ai-image-generator-skill (folder skills/ai-image-generation-studio), then follow its SKILL.md to connect my Beatra account.
The generated pour-over set used as a reference for a new composition: a square overhead flat lay on linen with beans, a paper filter and a brass scoop. AI-generated with Beatra.
Prompt:
New composition for a square social media post. Image 1 is the product reference: the sage-green ceramic pour-over dripper, the glass carafe, the sage-green mug and the speckled cream sugar bowl. Keep their shapes, glaze colors, speckled texture and proportions recognizable. Arrange them as a top-down overhead flat lay on a textured natural linen tablecloth: the dripper lying beside the carafe, the mug filled with black coffee seen from directly above, the sugar bowl, a small scattered line of whole coffee beans, a folded unbleached paper filter, and a brass coffee scoop. Soft even daylight from the upper left with gentle short shadows, calm balanced spacing between objects with breathing room around the edges, muted sage, cream, linen and warm brown palette, photoreal editorial product photography. No people, no hands, no text, no logos, no labels, no watermarks.
It can create product images, ad creative, brand visuals, posters, social graphics, illustrations, concept art, photo variations, and background changes from text, references, or an existing base image.
Yes. One to four supplied images can guide a new composition, or the first supplied image can remain the base for an edit. Generated details still need review.
Yes. A focused edit targets a defined area of an existing base image, then reviews the whole result for subject, composition, text, and destination fit.
It matches the image goal, reference materials, canvas, output count, and creative controls with current models, and keeps a named model when it fits those inputs.
It reuses the selected direction, wording, reference images, subject cues, style, logo placement, and text plan across the series, then reviews each result for visual consistency.
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.