aliang-product-detail-photos

aliang-product-detail-photos is a skill for Claude Code, Codex from aliang2052/aliang-skills. It costs 33 tokens per session (884 once invoked), scanned A, original, MIT.

A product-image generator that removes backgrounds and creates multiple angles and scenes for online shop listings.

In plain words
What is it for?
Use it to make e-commerce product images in selected quantities, aspect ratios, styles, and output folders.
Why use it?
It turns a source product photo into a planned set of detail images without requiring a photo shoot for every view or setting.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to make e-commerce product images in selected quantities, aspect ratios, styles, and output folders.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aliang2052/aliang-skills/aliang-product-detail-photos
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add aliang2052/aliang-skills --skill aliang-product-detail-photos
Clone the repo
git clone --depth 1 https://github.com/aliang2052/aliang-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for aliang-product-detail-photos

README.md
[![agentmods](https://agentmods.dev/badge/skills/aliang2052/aliang-skills/aliang-product-detail-photos/github.svg)](https://agentmods.dev/skills/aliang2052/aliang-skills/aliang-product-detail-photos)
Your own site
<a href="https://agentmods.dev/skills/aliang2052/aliang-skills/aliang-product-detail-photos"><img src="https://agentmods.dev/badge/skills/aliang2052/aliang-skills/aliang-product-detail-photos/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for aliang-product-detail-photos

Your own site · 80×15
<a href="https://agentmods.dev/skills/aliang2052/aliang-skills/aliang-product-detail-photos"><img src="https://agentmods.dev/badge/skills/aliang2052/aliang-skills/aliang-product-detail-photos.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 884 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.00884
Opus 5.5 $0.00013 $0.00354
Sonnet 5.5 $0.00007 $0.00177
Haiku 4.5 $0.00003 $0.00088

Measured 2mo ago against content hash d735fc1662aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aliang-product-detail-photos scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/aliang-product-detail-photos/SKILL.md · 94 lines

What it actually says

商品详情图生成器

依赖: 阿里云百炼 CLI (bl),需配置 DASHSCOPE_API_KEY。

触发词

当用户提到"商品详情图"、"电商主图"、"产品图"、"去掉背景"、"做产品宣传图"时使用。

工作流

第一步:确认需求

向用户确认:

  • 图片数量 — 需要几张(用户必须指定)
  • 产品图片 — 原图路径
  • 图片比例 — 1:1 方图 / 3:4 竖图 / 16:9 横图(默认 3:4)
  • 风格偏好 — 简约 / 温馨 / 自然 / 科技感 等(默认简约)
  • 输出目录 — 默认 输出/

第二步:产品理解与场景规划

用 bl text chat 分析产品,规划拍摄方案:

bl text chat --message "你是一位专业的电商摄影师。请分析产品图片,规划商品详情图拍摄方案。

产品图片:{product_image_path}
需要生成:{n}张,风格:{style}

请输出规划表,将{n}张图片拆分为「角度」+「场景」的组合,每张说明展示角度、场景背景、构图要点、光线氛围。"

向用户展示规划表,等待确认。

第三步:去除产品背景

bl image edit \
  --image {product_image_path} \
  --prompt "Remove the background completely, keep only the product itself with clean edges, output on solid white background" \
  --model qwen-image-2.0-pro \
  --out-dir {output_dir} \
  --out-prefix "product_no_bg"

第四步:逐张生成详情图

对每张图,用去背景后的产品图放入场景(效果比纯文本生成更准确):

bl image edit \
  --image {product_no_bg_path} \
  --prompt "Place this product naturally in {scene_description}, {composition_details}, {lighting_details}, professional product photography, sharp focus, no text, no watermark, no logo" \
  --model qwen-image-2.0-pro \
  --size "{ratio}" \
  --out-dir {output_dir} \
  --out-prefix "product_{index}"

场景建议:

  • 食品/饮料 → 餐桌、厨房、自然光线
  • 服装/鞋帽 → 模特穿搭、纯色背景、生活场景
  • 数码产品 → 简约科技风、办公桌面
  • 儿童用品 → 温馨家居、明亮色彩
  • 户外用品 → 自然风光、使用场景

第五步:整理输出

输出报告:

✅ 商品详情图生成完成

📁 输出目录:{output_dir}/{product_name}/
📊 共生成 {n} 张图片:
  - product_no_bg.png — 去背景产品图
  - product_01.png — [角度] + [场景]
  ...

关键命令

操作 命令
去背景 bl image edit --image <path> --prompt "Remove background..." --model qwen-image-2.0-pro
产品入场景 bl image edit --image <no_bg_path> --prompt "Place in {scene}..." --model qwen-image-2.0-pro --size "1:1"
纯文本生成 bl image generate --prompt "<description>" --model qwen-image-2.0-pro --size "3:4"
产品分析 bl text chat --message "<analysis prompt>"
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 94 lines · 33 tokens per session scan A d735fc1662aa

Subscribe to this mod's changes

aliang-product-detail-photos is a skill published in the GitHub repository aliang2052/aliang-skills (30 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 884 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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aliang-product-detail-photos next to 6 skills from other repositories
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