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Agent Skill · AI 工具

ai-product-photography(AI 产品摄影)

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

ai-product-photography 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,暂无第三方扫描结果,按安装量在AI 工具类的 2,536 个 Skill 里排第 199。

总安装 11,996周安装 370GitHub Stars 公开资料未说明下载 3,298核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-product-photography(AI 产品摄影)
来源仓库:https://github.com/inf-sh/skills
仓库路径:skills/ai-product-photography
安装命令:
npx skills add inf-sh/skills --skill "ai-product-photography"
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add inf-sh/skills --skill "ai-product-photography"

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

生成专业的AI产品摄影和商业图像。模型:FLUX、Imagen 3、Grok、Seedream,用于产品镜头、生活方式图像、模型。功能:影棚灯光、生活场景、包装、电子商务照片。用于:电子商务、亚马逊列表、Shopify、营销、广告、模型。

触发器:产品摄影、产品拍摄、商业摄影、电子商务图像、亚马逊产品照片、shopify 图像、产品模型、工作室产品拍摄、生活方式产品图像、广告照片、packshot、产品渲染、产品图像 ai

来源仓库内路径:skills/ai-product-photography

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add inf-sh/skills --skill "ai-product-photography";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ai-product-photography 怎么安装?

在终端执行 npx skills add inf-sh/skills --skill "ai-product-photography"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ai-product-photography 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ai-product-photography 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

ai-product-photography 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ai-product-photography 用的人多吗?

公开数据是累计安装 11,996 次,近一周安装 370 次,下载 3,298 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ai-product-photography 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
ai-product-photography

AI 产品摄影 · 本页

11,996—调用外部服务MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
ai-product-photography
description
Generate professional AI product photography and commercial images. Models: FLUX, Imagen 3, Grok, Seedream for product shots, lifestyle images, mockups. Capabilities: studio lighting, lifestyle scenes, packaging, e-commerce photos. Use for: e-commerce, Amazon listings, Shopify, marketing, advertising, mockups. Triggers: product photography, product shot, commercial photography, e-commerce images, amazon product photo, shopify images, product mockup, studio product shot, lifestyle product image, advertising photo, packshot, product render, product image ai
allowed-tools
Bash(infsh *)

AI Product Photography

Generate professional product photography via inference.sh CLI.

AI Product Photography

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Generate product shot
infsh app run falai/flux-dev --input '{
  "prompt": "Professional product photo of wireless earbuds on white surface, soft studio lighting, commercial photography, high detail"
}'

Available Models

ModelApp IDBest For
FLUX Devfalai/flux-devHigh quality, detailed
FLUX Schnellfalai/flux-schnellFast iterations
Imagen 3google/imagen-3Photorealistic
Grokxai/grok-imagine-imageCreative variations
Seedreambytedance/seedream-3-0Commercial quality

Product Photography Styles

Studio White Background

infsh app run falai/flux-dev --input '{
  "prompt": "Product photography of a luxury watch on pure white background, professional studio lighting, sharp focus, e-commerce style, high resolution"
}'

Lifestyle Context

infsh app run falai/flux-dev --input '{
  "prompt": "Lifestyle product photo of coffee mug on wooden desk, morning sunlight through window, cozy home office setting, Instagram aesthetic"
}'

Hero Shot

infsh app run falai/flux-dev --input '{
  "prompt": "Hero product shot of smartphone floating at angle, dramatic lighting, gradient background, tech advertising style, premium feel"
}'

Flat Lay

infsh app run falai/flux-dev --input '{
  "prompt": "Flat lay product photography of skincare products arranged aesthetically, marble surface, eucalyptus leaves as props, beauty brand style"
}'

In-Use / Action

infsh app run falai/flux-dev --input '{
  "prompt": "Action shot of running shoes mid-stride, motion blur background, athletic lifestyle, Nike advertisement style"
}'

Product Categories

Electronics

infsh app run falai/flux-dev --input '{
  "prompt": "Professional product photo of wireless headphones, matte black finish, floating on dark gradient background, rim lighting, tech product photography"
}'

Fashion / Apparel

infsh app run falai/flux-dev --input '{
  "prompt": "Fashion product photography of leather handbag, studio setting, soft shadows, luxury brand aesthetic, Vogue style"
}'

Beauty / Cosmetics

infsh app run falai/flux-dev --input '{
  "prompt": "Beauty product photography of lipstick with color swatches, clean white background, soft lighting, high-end cosmetics advertising"
}'

Food & Beverage

infsh app run falai/flux-dev --input '{
  "prompt": "Food photography of craft beer bottle with condensation, rustic wooden table, warm lighting, artisanal brand aesthetic"
}'

Home & Furniture

infsh app run falai/flux-dev --input '{
  "prompt": "Interior product photo of modern armchair in minimalist living room, natural lighting, Scandinavian design style, lifestyle context"
}'

Jewelry

infsh app run falai/flux-dev --input '{
  "prompt": "Jewelry product photography of diamond ring, black velvet surface, dramatic spotlight, sparkle and reflection, luxury advertising"
}'

Lighting Techniques

Soft Studio Light

infsh app run falai/flux-dev --input '{
  "prompt": "Product photo with soft diffused studio lighting, minimal shadows, clean and professional, commercial photography"
}'

Dramatic / Rim Light

infsh app run falai/flux-dev --input '{
  "prompt": "Product photo with dramatic rim lighting, dark background, glowing edges, premium tech aesthetic"
}'

Natural Window Light

infsh app run falai/flux-dev --input '{
  "prompt": "Product photo with natural window light, soft shadows, lifestyle setting, warm and inviting"
}'

Hard Light / High Contrast

infsh app run falai/flux-dev --input '{
  "prompt": "Product photo with hard directional lighting, strong shadows, bold contrast, editorial style"
}'

E-Commerce Templates

Amazon Main Image

infsh app run falai/flux-dev --input '{
  "prompt": "Amazon product listing main image, pure white background RGB 255 255 255, product fills 85% of frame, professional studio lighting, no text or graphics"
}'

Amazon Lifestyle Image

infsh app run falai/flux-dev --input '{
  "prompt": "Amazon lifestyle product image, product in natural use context, relatable setting, shows scale and use case"
}'

Shopify Hero

infsh app run falai/flux-dev --input '{
  "prompt": "Shopify hero banner product image, lifestyle context, space for text overlay on left, premium brand aesthetic"
}'

Batch Generation

# Generate multiple angles
PRODUCT="luxury watch"
ANGLES=("front view" "45 degree angle" "side profile" "detail shot of face")

for angle in "${ANGLES[@]}"; do
  infsh app run falai/flux-dev --input "{
    \"prompt\": \"Professional product photography of $PRODUCT, $angle, white background, studio lighting\"
  }" > "product_${angle// /_}.json"
done

Post-Processing Workflow

# 1. Generate base product image
infsh app run falai/flux-dev --input '{
  "prompt": "Product photo of headphones..."
}' > product.json

# 2. Upscale for high resolution
infsh app run falai/topaz-image-upscaler --input '{
  "image_url": "<product-url>",
  "scale": 2
}' > upscaled.json

# 3. Remove background if needed
infsh app run falai/birefnet --input '{
  "image_url": "<upscaled-url>"
}' > cutout.json

Prompt Formula

[Product Type] + [Setting/Background] + [Lighting] + [Style] + [Technical]

Examples

"Wireless earbuds on white marble surface, soft studio lighting, Apple advertising style, 8K, sharp focus"

"Sneakers floating on gradient background, dramatic rim lighting, Nike campaign aesthetic, commercial photography"

"Skincare bottle with water droplets, spa setting with stones, natural lighting, luxury beauty brand style"

Best Practices

  1. Consistent style - Match brand aesthetic across all images
  2. High resolution - Use quality models, upscale if needed
  3. Multiple angles - Generate front, side, detail views
  4. Context matters - Lifestyle images convert better than plain white
  5. Props and staging - Add relevant props for visual interest
  6. Lighting consistency - Same lighting style across product line

Related Skills

# Image generation models
npx skills add inference-sh/skills@ai-image-generation

# FLUX specific
npx skills add inference-sh/skills@flux-image

# Image upscaling
npx skills add inference-sh/skills@image-upscaling

# Background removal
npx skills add inference-sh/skills@background-removal

# Full platform skill
npx skills add inference-sh/skills@inference-sh

Browse all image apps: infsh app list --category image

平台分布

Claude Code

63.61%
按下载量换算2,098

Cursor

31.22%
按下载量换算1,030

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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