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wzj177/ecommerce-image-suite

面向电商商品图生产场景的图片套图 Skill。仓库提供一套从商品图分析、卖点提炼、Prompt 组织到成图输出的脚本与配置，适合用在淘宝、京东、拼多多、抖音等国内平台，以及独立站、Amazon 等跨境场景。

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1skill in this repository

0commits in 30 days

Heat

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Individual skills in this repository

ecommerce-image-suite /

How it works

ecommerce-image-suite

When your agent uses it

电商套图生成助手。用户明确提出需要生成电商套图、商品主图、卖点图、场景图、模特图等图片内容时触发。支持国内平台（淘宝、京东、拼多多、抖音）与国际跨境平台（Amazon、独立站）的尺寸规范。触发示例：「帮我生成这件T恤的电商套图」「做一套淘宝主图」「生成亚马逊listing图片」。不应在用户仅上传图片但未明确提出图片生成需求时触发。

What it loads into context

Frontmatter

252 tokens

Always available to the agent

SKILL.md

20,288 tokens

When the skill is activated

Reference documents

36,064 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

概览
⛔ 前置检查：API Key 验证（必须最先执行）
触发入口：判断是否已上传图片
第一步：收集输入信息
第二步：AI 分析与卖点生成
第三步：选择平台与套图配置
第四步：准备生图参数（动态填充商品信息）
第四步半：模特图判断与模特选择（条件步骤）
第四步半 B：视觉风格模板智能推荐
第五步：多供应商图像生成
CLI 执行流程（Agent 调用）
第六步：平台文案生成（可选）
第七步：详情页 HTML 生成（可选）
第八步：产品展示视频生成（可选）
执行检查清单
参考文件索引
API Key 配置

Scripts executed separately

scripts/analyze.py
scripts/check_providers.py
scripts/generate.py
scripts/generate_video.py

Files

.gitignoreasset38 bytes
BUSINESS.mddoc1,527 bytes
EXAMPLES.mddoc10,307 bytes
LICENSEasset11,357 bytes
README.mddoc5,961 bytes
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assets/models.jsonasset17,751 bytes
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assets/models/models.jsonasset17,751 bytes
example/agent客户端测试/001.pngasset394,548 bytes
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example/商业项目-视频智能文搜/001.pngasset2,483,540 bytes
example/商业项目-视频智能文搜/002.pngasset606,581 bytes
example/商业项目-视频智能文搜/003.jpgasset119,194 bytes
example/女装/002/product.jsonasset1,909 bytes
example/女装/002/三角度拼图.jpgasset4,798,132 bytes
example/女装/002/侧面.jpgasset4,966,907 bytes
example/女装/002/卖点图.jpgasset5,983,125 bytes
example/女装/002/场景展示图.jpgasset6,180,814 bytes
example/女装/002/多场景拼图.jpgasset6,294,130 bytes
example/女装/002/服装原图.jpgasset65,040 bytes
example/女装/002/材质图.jpgasset5,559,884 bytes
example/女装/002/核心卖点图.jpgasset3,460,471 bytes
example/女装/002/模特展示图.jpgasset2,394,203 bytes
example/女装/002/白底主图.jpgasset4,417,950 bytes
example/女装/002/背面侧面视图.jpgasset3,866,981 bytes
example/女装/003/卖点图.jpgasset6,553,826 bytes
example/女装/003/商品原图.jpgasset151,028 bytes
example/女装/003/场景展示图.jpgasset5,650,903 bytes
example/女装/003/材质图.jpgasset6,037,551 bytes
example/女装/003/核心卖点图.jpgasset5,909,506 bytes
example/女装/003/白底主图.jpgasset4,303,679 bytes
example/女装/005/product.jsonasset2,000 bytes
example/女装/005/三角度拼图.jpgasset1,599,131 bytes
example/女装/005/卖点图.jpgasset2,198,186 bytes
example/女装/005/商品原图.jpgasset582,131 bytes
example/女装/005/场景展示图.jpgasset1,774,761 bytes
example/女装/005/多场景拼图.jpgasset2,055,831 bytes
example/女装/005/材质图.jpgasset2,176,640 bytes
example/女装/005/核心卖点图.jpgasset1,550,215 bytes
example/女装/005/模特展示图.jpgasset1,859,144 bytes
example/女装/005/电商详情图.jpgasset1,011,349 bytes
example/女装/005/白底主图.jpgasset931,629 bytes
example/电器/product.jsonasset2,057 bytes
example/电器/三角度拼图.jpgasset5,975,675 bytes
example/电器/卖点图.jpgasset417,479 bytes
example/电器/商品原图.jpgasset111,102 bytes
example/电器/场景展示图.jpgasset450,744 bytes
example/电器/多场景拼图.jpgasset653,497 bytes
example/电器/材质图.jpgasset359,781 bytes
example/电器/核心卖点图.jpgasset418,139 bytes
example/电器/电商详情图.jpgasset6,600,365 bytes
example/电器/白底主图.jpgasset330,688 bytes
example/男装/product.jsonasset1,787 bytes
example/男装/三角度拼图.jpgasset5,123,822 bytes
example/男装/卖点图.jpgasset4,275,620 bytes
example/男装/场景展示图.jpgasset5,206,580 bytes
example/男装/多场景拼图.jpgasset5,720,411 bytes
example/男装/服务原图.jpgasset26,054 bytes
example/男装/材质图.jpgasset4,746,688 bytes
example/男装/核心卖点图.jpgasset4,857,977 bytes
example/男装/模特展示图.jpgasset5,352,671 bytes
example/男装/电商详情图.jpgasset4,568,795 bytes
example/男装/白底主图.jpgasset4,298,253 bytes
example/童装/gemini/卖点图.jpgasset1,646,763 bytes
example/童装/gemini/场景展示图.jpgasset2,423,350 bytes
example/童装/gemini/多场景拼图.jpgasset745,747 bytes
example/童装/gemini/材质图.jpgasset744,324 bytes
example/童装/gemini/核心卖点图.jpgasset466,906 bytes
example/童装/gemini/模特展示图.jpgasset642,456 bytes
example/童装/gemini/白底主图.jpgasset1,140,363 bytes
example/童装/product.jsonasset1,997 bytes
example/童装/卖点图.jpgasset6,353,369 bytes
example/童装/商品原图.jpgasset34,824 bytes
example/童装/场景展示图.jpgasset5,989,709 bytes
example/童装/多场景拼图.jpgasset6,368,050 bytes
example/童装/材质图.jpgasset6,068,146 bytes
example/童装/核心卖点图.jpgasset4,471,427 bytes
example/童装/模特展示图.jpgasset5,484,224 bytes
example/童装/白底主图.jpgasset4,302,935 bytes
references/analysis-prompts.mddoc8,008 bytes
references/copy-prompts.mddoc26,163 bytes
references/dynamic-prompt-architecture.mddoc17,553 bytes
references/image-types.mddoc44,584 bytes
references/model-prompts.mddoc6,350 bytes
references/platforms.mddoc3,911 bytes
references/providers.mddoc7,861 bytes
scripts/analyze.pyruns13,865 bytes
scripts/check_providers.pyruns1,615 bytes
scripts/generate.pyruns98,602 bytes
scripts/generate_video.pyruns9,769 bytes

Read SKILL.md


# 电商套图生成助手

## 概览

本 Skill 实现从「商品原始图片 + 卖点信息」到「完整电商套图」的一键生成流程：

```
① 上传商品图片（必须）+ 输入卖点信息（可选）
        ↓
② AI 视觉分析：提取商品主体，智能生成卖点文案（可编辑）
        ↓
③ 选择平台规范 + 套图类型（7种标准图）
        ↓
④ AI 生成每张图的详细 Prompt（可编辑）

View the complete source on GitHub

Skills included

ecommerce-image-suite

Repository facts

License: Apache-2.0
Created: Apr 24, 2026
Last pushed: Aug 27, 2026
Forks: 96
Open issues: 0
Project activity: Slowing

Before you install

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Automated signals, not a guarantee

Checked Nov 7, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 18 notes

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No broad tool permissions
No dangerous shell commands
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10 obfuscation signalsin 1 file: scripts/generate.py:1183
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4 executable scriptsin 4 files: scripts/analyze.py:1 scripts/check_providers.py:1 scripts/generate.py:1 and 1 more
105 references to secretsin 7 files: SKILL.md:8 scripts/analyze.py:10 README.md:61 and 4 more
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Show all 257 signals by file

`LICENSE`

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Apache License                            Version 2.0, January 2004                         http://www.apache.org/licenses/

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http://www.apache.org/licenses/
```

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http://www.apache.org/licenses/LICENSE-2.0

`README.md`

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## 插个广子 - [丸子GPT超低价中转站&丸子Image2生图公益站](https://ai.wanzij.cn)

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- [丸子GPT超低价中转站&丸子Image2生图公益站](https://ai.wanzij.cn)

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[![LINUXDO](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA-LINUXDO-0086c9?style=for-the-badge&labelColor=555555)](https://linux.do)

`SKILL.md`

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> 📋 **CLI 环境（如 Claude Code）**：无法直接拖拽上传图片，请提供以下任一方式： > - 本地文件路径（如 `/Users/me/photos/product.jpg`） > - 远程图片 URL（如 `https://example.com/product.jpg`）

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> - 本地文件路径（如 `/Users/me/photos/product.jpg`） > - 远程图片 URL（如 `https://example.com/product.jpg`） > - Base64 字符串（`data:image/jpeg;base64,/9j/4AAQ...`）

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> - 远程图片 URL（如 `https://example.com/product.jpg`）

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GEMINI_BASE_URL="https://my-proxy.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent" \

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# 可选：自定义代理地址 export OPENAI_BASE_URL="https://my-proxy.com/v1"

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export OPENAI_BASE_URL="https://my-proxy.com/v1"

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export GEMINI_BASE_URL="https://my-proxy.com/gemini"

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export DASHSCOPE_BASE_URL="https://my-proxy.com/dashscope"

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【字体系统】 @import url('https://fonts.googleapis.com/css2?family=Noto+Serif+SC:wght@400;600;700&family=Noto+Sans+SC:wght@300;400;500&family=Oswald:wght@500;600&display=swap');

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@import url('https://fonts.googleapis.com/css2?family=Noto+Serif+SC:wght@400;600;700&family=Noto+Sans+SC:wght@300;400;500&family=Oswald:wght@500;600&display=swap');

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【字体系统】 @import url('https://fonts.googleapis.com/css2?family=Noto+Sans+SC:wght@400;500;700&family=Source+Han+Serif+SC:wght@400;700&family=Roboto+Mono:wght@400;500&display=swap');

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Include in <script type="application/ld+json">: {   "@context": "https://schema.org",

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`references/providers.md`

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**Key获取:** https://platform.openai.com/api-keys

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# export OPENAI_BASE_URL="https://your-proxy.com/v1"  # 可选代理

Network accessline 43

const response = await fetch("https://api.openai.com/v1/images/generations", {

Network accessline 73

const response = await fetch("https://api.openai.com/v1/images/edits", {

Network accessline 88

**API Endpoint:** `https://generativelanguage.googleapis.com/v1beta/models/imagen-3.0-generate-001:predict`

Network accessline 89

**Key获取:** https://aistudio.google.com/app/apikey

Network accessline 92
```
const response = await fetch(
```

Network accessline 93

`https://generativelanguage.googleapis.com/v1beta/models/imagen-3.0-generate-001:predict?key=${apiKey}`,

Network accessline 116

**API Endpoint:** `https://api.stability.ai/v2beta/stable-image/generate/core`

Network accessline 117

**Key获取:** https://platform.stability.ai/account/keys

Network accessline 126

const response = await fetch("https://api.stability.ai/v2beta/stable-image/generate/core", {

Network accessline 142

**API Endpoint:** `https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis`

Network accessline 143

**Key获取:** https://dashscope.console.aliyun.com/

Network accessline 147

// Step 1: 提交任务 const submitRes = await fetch(

Network accessline 148
```
const submitRes = await fetch(
```

Network accessline 149

"https://dashscope.aliyuncs.com/api/v1/services/aigc/text2image/image-synthesis",

Network accessline 171

for (let i = 0; i < 30; i++) {   await new Promise(r => setTimeout(r, 2000));   const pollRes = await fetch(

Network accessline 172

await new Promise(r => setTimeout(r, 2000));   const pollRes = await fetch(     `https://dashscope.aliyuncs.com/api/v1/tasks/${task_id}`,

Network accessline 173
```
const pollRes = await fetch(
```

Network accessline 174

`https://dashscope.aliyuncs.com/api/v1/tasks/${task_id}`,

Network accessline 179

const imageUrl = pollData.output.results[0].url;     // 转base64     const imgBlob = await (await fetch(imageUrl)).blob();

Network accessline 180

// 转base64     const imgBlob = await (await fetch(imageUrl)).blob();     const base64 = await new Promise(r => {

Network accessline 181

const imgBlob = await (await fetch(imageUrl)).blob();

Network accessline 197

**API Endpoint:** `https://ark.cn-beijing.volces.com/api/v3/images/generations`

Network accessline 198

**Key获取:** https://console.volcengine.com/ark → API Key管理

Network accessline 201

const response = await fetch("https://ark.cn-beijing.volces.com/api/v3/images/generations", {

`scripts/analyze.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```
Access to secretsline 10
```
[Credential-related source omitted]
```
Access to secretsline 11
```
[Credential-related source omitted]
```
Access to secretsline 12
```
[Credential-related source omitted]
```

Network accessline 17

python3 analyze.py ./product.jpg   python3 analyze.py ./front.jpg ./back.jpg          # 多张图（正面+背面）   python3 analyze.py https://example.com/product.jpg

Network accessline 18

python3 analyze.py ./front.jpg ./back.jpg          # 多张图（正面+背面）   python3 analyze.py https://example.com/product.jpg   python3 analyze.py ./product.jpg --provider tongyi

Network accessline 19

python3 analyze.py https://example.com/product.jpg

Access to secretsline 47
```
[Credential-related source omitted]
```
Access to secretsline 48
```
[Credential-related source omitted]
```

Network accessline 50

"env_model":     "DASHSCOPE_VISION_MODEL",         "default_model": "qwen-vl-max",         "default_url":   "https://dashscope.aliyuncs.com/compatible-mode/v1",

Network accessline 51

"default_model": "qwen-vl-max",         "default_url":   "https://dashscope.aliyuncs.com/compatible-mode/v1",     },

Network accessline 52

"default_url":   "https://dashscope.aliyuncs.com/compatible-mode/v1",

Access to secretsline 57
```
[Credential-related source omitted]
```

Network accessline 60

"env_model":     "ARK_VISION_MODEL",         "default_model": "doubao-vision-pro-32k",         "default_url":   "https://ark.cn-beijing.volces.com/api/v3",

Network accessline 61

"default_model": "doubao-vision-pro-32k",         "default_url":   "https://ark.cn-beijing.volces.com/api/v3",     },

Network accessline 62

"default_url":   "https://ark.cn-beijing.volces.com/api/v3",

Access to secretsline 67
```
[Credential-related source omitted]
```

Network accessline 70

"env_model":     "OPENAI_VISION_MODEL",         "default_model": "gpt-4o",         "default_url":   "https://api.openai.com/v1",

Network accessline 71

"default_model": "gpt-4o",         "default_url":   "https://api.openai.com/v1",     },

Network accessline 72

"default_url":   "https://api.openai.com/v1",

Access to secretsline 176
```
[Credential-related source omitted]
```
Access to secretsline 178
```
[Credential-related source omitted]
```
Access to secretsline 180
```
[Credential-related source omitted]
```
Access to secretsline 185
```
[Credential-related source omitted]
```
Access to secretsline 187
```
[Credential-related source omitted]
```
Access to secretsline 195
```
[Credential-related source omitted]
```
Access to secretsline 201
```
[Credential-related source omitted]
```
Access to secretsline 202
```
[Credential-related source omitted]
```
Access to secretsline 216
```
[Credential-related source omitted]
```
Access to secretsline 258
```
[Credential-related source omitted]
```
Access to secretsline 259
```
[Credential-related source omitted]
```
Access to secretsline 273
```
[Credential-related source omitted]
```
Access to secretsline 274
```
[Credential-related source omitted]
```
Access to secretsline 275
```
[Credential-related source omitted]
```
Access to secretsline 280
```
[Credential-related source omitted]
```
Access to secretsline 286
```
[Credential-related source omitted]
```

`scripts/check_providers.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```
Access to secretsline 12
```
[Credential-related source omitted]
```
Access to secretsline 13
```
[Credential-related source omitted]
```
Access to secretsline 14
```
[Credential-related source omitted]
```
Access to secretsline 15
```
[Credential-related source omitted]
```
Access to secretsline 16
```
[Credential-related source omitted]
```
Access to secretsline 23
```
[Credential-related source omitted]
```
Access to secretsline 24
```
[Credential-related source omitted]
```

`scripts/generate.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 7

python3 generate.py      --product '{"product_description_for_prompt": "white T-shirt...", "selling_points": [...]}'      --provider openai      --api-key "sk-..."      --base-url "https://custom-proxy.example.com/v1"

Network accessline 9

--provider openai \     --api-key "sk-..." \     --base-url "https://custom-proxy.example.com/v1" \

Network accessline 10

--api-key "sk-..." \     --base-url "https://custom-proxy.example.com/v1" \     --model "dall-e-3" \

Network accessline 11

--base-url "https://custom-proxy.example.com/v1" \

Access to secretsline 18
```
[Credential-related source omitted]
```
Access to secretsline 19
```
[Credential-related source omitted]
```
Access to secretsline 20
```
[Credential-related source omitted]
```
Access to secretsline 21
```
[Credential-related source omitted]
```
Access to secretsline 22
```
[Credential-related source omitted]
```

Network accessline 134

DEFAULT_URLS = {     "openai":    "https://api.openai.com/v1/images/generations",

Network accessline 135

"openai":    "https://api.openai.com/v1/images/generations",

Network accessline 136

"gemini":    "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.1-flash-image-preview:generateContent",

Network accessline 137

"stability": "https://api.stability.ai/v2beta/stable-image/generate/core",

Network accessline 138

"tongyi":    "https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation",

Network accessline 139

"doubao":    "https://ark.cn-beijing.volces.com/api/v3/images/generations",

Network accessline 1133

return b64, mime     if path_or_url.startswith(("http://", "https://")):         resp = requests.get(path_or_url, timeout=60)

Network accessline 1134

if path_or_url.startswith(("http://", "https://")):         resp = requests.get(path_or_url, timeout=60)         resp.raise_for_status()

Network accessline 1135

resp = requests.get(path_or_url, timeout=60)

Network accessline 1175

url = (base_url.rstrip("/") + "/v1/images/generations") if base_url else DEFAULT_URLS["openai"]             resp = requests.post(

Network accessline 1176
```
resp = requests.post(
```

Possible obfuscationline 1183

return base64.b64decode(_fix_base64_padding(resp.json()["data"][0]["b64_json"]))

Network accessline 1189

# 直接拼接 /images/edits（用户的 BASE_URL 是 https://api.laozhang.ai/v1）

Network accessline 1190

url = base_url_clean + "/images/edits"         else:             url = "https://api.openai.com/v1/images/edits"

Network accessline 1192

url = "https://api.openai.com/v1/images/edits"

Network accessline 1201

# 使用 image[] 作为字段名（与 curl 示例一致）

Possible obfuscationline 1202

files.append(("image[]", (f"image{i}.{mime.split('/')[-1]}", base64.b64decode(_fix_base64_padding(b64_data)), mime)))

Network accessline 1210
```
resp = requests.post(
```

Possible obfuscationline 1226

return base64.b64decode(_fix_base64_padding(b64_value))

Network accessline 1231

url = (base_url.rstrip("/") + "/v1/images/generations") if base_url else DEFAULT_URLS["openai"]     resp = requests.post(

Network accessline 1232
```
resp = requests.post(
```

Possible obfuscationline 1239

return base64.b64decode(_fix_base64_padding(resp.json()["data"][0]["b64_json"]))

Network accessline 1274

# 如果 base_url 以 /v1 结尾（如 https://api.example.com/v1），拼接 /images/edits

Possible obfuscationline 1291

files.append(("image[]", (f"image{i}.{mime.split('/')[-1]}", base64.b64decode(_fix_base64_padding(b64_data)), mime)))

Network accessline 1299
```
resp = requests.post(
```

Network accessline 1313

return base64.b64decode(_fix_base64_padding(img_data["b64_json"]))                 elif "url" in img_data:                     img_resp = requests.get(img_data["url"], timeout=60)

Possible obfuscationline 1313

return base64.b64decode(_fix_base64_padding(img_data["b64_json"]))

Network accessline 1314

elif "url" in img_data:                     img_resp = requests.get(img_data["url"], timeout=60)                     img_resp.raise_for_status()

Network accessline 1315

img_resp = requests.get(img_data["url"], timeout=60)

Network accessline 1338
```
resp = requests.post(
```

Network accessline 1351

return base64.b64decode(_fix_base64_padding(img_data["b64_json"]))             elif "url" in img_data:                 img_resp = requests.get(img_data["url"], timeout=60)

Possible obfuscationline 1351

return base64.b64decode(_fix_base64_padding(img_data["b64_json"]))

Network accessline 1352

elif "url" in img_data:                 img_resp = requests.get(img_data["url"], timeout=60)                 img_resp.raise_for_status()

Network accessline 1353

img_resp = requests.get(img_data["url"], timeout=60)

Network accessline 1362

url = base_url     elif model and model != DEFAULT_MODELS["gemini"]:         url = f"https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent"

Network accessline 1363

elif model and model != DEFAULT_MODELS["gemini"]:         url = f"https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent"     else:

Network accessline 1364

url = f"https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent"

Network accessline 1386
```
resp = requests.post(
```

Possible obfuscationline 1405

return base64.b64decode(_fix_base64_padding(part["inlineData"]["data"]))

Network accessline 1410

reference_image: str = "", **_kw) -> bytes:     url = base_url or DEFAULT_URLS["stability"]     resp = requests.post(

Network accessline 1411

url = base_url or DEFAULT_URLS["stability"]     resp = requests.post(         url,

Network accessline 1412
```
resp = requests.post(
```

Possible obfuscationline 1420

return base64.b64decode(_fix_base64_padding(resp.json()["image"]))

Network accessline 1430

import time     poll_url = "https://dashscope.aliyuncs.com/api/v1/tasks/" + task_id

Network accessline 1431

poll_url = "https://dashscope.aliyuncs.com/api/v1/tasks/" + task_id

Network accessline 1434

interval = 3     while elapsed < max_wait:         resp = requests.get(poll_url, headers=headers, timeout=30)

Network accessline 1435

while elapsed < max_wait:         resp = requests.get(poll_url, headers=headers, timeout=30)         resp.raise_for_status()

Network accessline 1436

resp = requests.get(poll_url, headers=headers, timeout=30)

Network accessline 1473

url = base_url     elif is_wan:         url = "https://dashscope.aliyuncs.com/api/v1/services/aigc/image-generation/generation"

Network accessline 1474

elif is_wan:         url = "https://dashscope.aliyuncs.com/api/v1/services/aigc/image-generation/generation"     else:

Network accessline 1475

url = "https://dashscope.aliyuncs.com/api/v1/services/aigc/image-generation/generation"

Network accessline 1515

resp = requests.post(url, headers=headers, json=body, timeout=request_timeout)

Network accessline 1528

return base64.b64decode(_fix_base64_padding(img_url.split(",", 1)[-1] if "," in img_url else img_url))         return requests.get(img_url, timeout=request_timeout).content

Possible obfuscationline 1528

return base64.b64decode(_fix_base64_padding(img_url.split(",", 1)[-1] if "," in img_url else img_url))

Network accessline 1529

return requests.get(img_url, timeout=request_timeout).content

Network accessline 1532

img_url = data["output"]["choices"][0]["message"]["content"][0]["image"]         return requests.get(img_url, timeout=request_timeout).content

Network accessline 1533

return requests.get(img_url, timeout=request_timeout).content

Access to secretsline 1545
```
[Credential-related source omitted]
```

Network accessline 1566

if len(ref_images) > 1:             print(f"    📎 已传递 {len(ref_images)} 张参考图", flush=True)     resp = requests.post(

Network accessline 1567

print(f"    📎 已传递 {len(ref_images)} 张参考图", flush=True)     resp = requests.post(         url,

Network accessline 1568
```
resp = requests.post(
```

Network accessline 1574

resp.raise_for_status()     img_url = resp.json()["data"][0]["url"]     return requests.get(img_url, timeout=_kw.get('request_timeout', 180)).content

Network accessline 1576

return requests.get(img_url, timeout=_kw.get('request_timeout', 180)).content

Access to secretsline 1588
```
[Credential-related source omitted]
```
Access to secretsline 1589
```
[Credential-related source omitted]
```
Access to secretsline 1590
```
[Credential-related source omitted]
```
Access to secretsline 1591
```
[Credential-related source omitted]
```
Access to secretsline 1592
```
[Credential-related source omitted]
```
Access to secretsline 1622
```
[Credential-related source omitted]
```
Access to secretsline 1661
```
[Credential-related source omitted]
```
Access to secretsline 1662
```
[Credential-related source omitted]
```
Access to secretsline 1667
```
[Credential-related source omitted]
```
Access to secretsline 1842
```
[Credential-related source omitted]
```

`scripts/generate_video.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 38

DEFAULT_MODEL = "doubao-seedance-1-5-pro-251215" TASK_URL = "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks"

Network accessline 39

TASK_URL = "https://ark.cn-beijing.volces.com/api/v3/contents/generations/tasks"

Access to secretsline 99
```
[Credential-related source omitted]
```
Network accessline 110
```
[Credential-related source omitted]
```
Network accessline 111
```
[Credential-related source omitted]
```
Network accessline 112
```
[Credential-related source omitted]
```
Access to secretsline 112
```
[Credential-related source omitted]
```
Access to secretsline 120
```
[Credential-related source omitted]
```
Access to secretsline 122
```
[Credential-related source omitted]
```

Network accessline 124

interval = 5     while elapsed < max_wait:         resp = requests.get(url, headers=headers, timeout=30)

Network accessline 125

while elapsed < max_wait:         resp = requests.get(url, headers=headers, timeout=30)         resp.raise_for_status()

Network accessline 126

resp = requests.get(url, headers=headers, timeout=30)

Network accessline 141

def download_video(video_url: str, output_path: Path):     resp = requests.get(video_url, timeout=120, stream=True)

Network accessline 142

resp = requests.get(video_url, timeout=120, stream=True)

Access to secretsline 166
```
[Credential-related source omitted]
```
Access to secretsline 167
```
[Credential-related source omitted]
```
Access to secretsline 168
```
[Credential-related source omitted]
```
Access to secretsline 171
```
[Credential-related source omitted]
```
Access to secretsline 200
```
[Credential-related source omitted]
```
Access to secretsline 204
```
[Credential-related source omitted]
```

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 9 facts

Contacts dashscope.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/analyze.py:52High confidence
Contacts ark.cn-beijing.volces.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/analyze.py:62High confidence
Contacts api.openai.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/analyze.py:72High confidence
Contacts api.openai.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/generate.py:135High confidence
Contacts generativelanguage.googleapis.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/generate.py:136High confidence
Contacts api.stability.ai, which SKILL.md, the README and the plugin manifest do not mentionscripts/generate.py:137High confidence
Contacts dashscope.aliyuncs.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/generate.py:138High confidence
Contacts ark.cn-beijing.volces.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/generate.py:139High confidence
Contacts ark.cn-beijing.volces.com, which SKILL.md, the README and the plugin manifest do not mentionscripts/generate_video.py:39High confidence

Signal confidence: 254 facts

Network access in prose of documentationREADME.md:7Low confidence
Network access in prose of documentationREADME.md:8Low confidence
Access to secrets in prose of documentationREADME.md:61Low confidence
Access to secrets in prose of documentationREADME.md:62Low confidence
Access to secrets in prose of documentationREADME.md:63Low confidence
Access to secrets in prose of documentationREADME.md:64Low confidence
Access to secrets in prose of documentationREADME.md:65Low confidence
Access to secrets in code of documentationREADME.md:74Low confidence
Access to secrets in code of documentationREADME.md:75Low confidence
Access to secrets in code of documentationREADME.md:81Low confidence
Access to secrets in code of documentationREADME.md:82Low confidence
Access to secrets in code of documentationREADME.md:89Low confidence
Access to secrets in code of documentationREADME.md:90Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueREADME.md:101Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueREADME.md:102Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueREADME.md:108Low confidence
Access to secrets in code of documentation: a variable, placeholder or call, not a stored valueREADME.md:109Low confidence
Access to secrets in code of documentationREADME.md:115Low confidence
Access to secrets in code of documentationREADME.md:116Low confidence
Network access in prose of documentationREADME.md:188Low confidence
Access to secrets in the frontmatter of the SKILL.mdSKILL.md:8Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:61Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:62Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:63Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:64Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:65Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:69Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:71Low confidence
Network access in prose of the SKILL.mdSKILL.md:122Low confidence
Network access in prose of the SKILL.mdSKILL.md:123Low confidence
Network access in prose of the SKILL.mdSKILL.md:124Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:399Low confidence
Access to secrets in prose of the SKILL.md: a variable, placeholder or call, not a stored valueSKILL.md:423Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:432Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:433Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:434Low confidence
Network access in code of the SKILL.mdSKILL.md:1122High confidence
Network access in code of the SKILL.mdSKILL.md:1123High confidence
Access to secrets in code of the SKILL.mdSKILL.md:1123High confidence
Network access in code of the SKILL.mdSKILL.md:1124High confidence
Network access in code of the SKILL.mdSKILL.md:1127High confidence
Network access in code of the SKILL.mdSKILL.md:1128High confidence
Access to secrets in code of the SKILL.mdSKILL.md:1128High confidence
Network access in code of the SKILL.mdSKILL.md:1129High confidence
Access to secrets in prose of the SKILL.mdSKILL.md:1278Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:1345Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:1351Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:1383Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:1393Low confidence
Access to secrets in prose of the SKILL.mdSKILL.md:1394Low confidence

and 204 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

wzj177/ecommerce-image-suite

History

SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

ecommerce-image-suite

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

LICENSE

README.md

SKILL.md

references/copy-prompts.md

references/providers.md

scripts/analyze.py

scripts/check_providers.py

scripts/generate.py

scripts/generate_video.py

How the signals fit together

Works with

You might also use

mattpocock/skills

obra/superpowers

NousResearch/hermes-agent

multica-ai/andrej-karpathy-skills

anthropics/skills

DietrichGebert/ponytail

`SKILL.md`

`LICENSE`

`README.md`

`SKILL.md`

`references/copy-prompts.md`

`references/providers.md`

`scripts/analyze.py`

`scripts/check_providers.py`

`scripts/generate.py`

`scripts/generate_video.py`