qinghu-pod-pattern-extract SKILL.md skillA

qinghu-pod-pattern-extract from autoagc/linkpix-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add autoagc/linkpix-skills/qinghu-pod-pattern-extract@git:20261016.5471403

Pins git:20261016.5471403 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
autoagc/linkpix-skills
Path
skills/qinghu-pod-pattern-extract/SKILL.md
Versions recorded
2
Latest version
git:20261016.5471403, committed Oct 16, 2026
First version recorded
Sep 8, 2026
Size
8,615 bytes
Repository stars
31
License
MIT

一键提取图片中的印花图案,生成高清、平铺、可复用的图案素材,适用于 POD 定制及服装设计。当用户要求提取印花、抠图案、把衣服上的图案拿出来、图案素材化时必须触发。关键词:青虎AI、qhkit、印花提取、图案提取、提取花纹、POD素材、图案素材、印花设计稿、pattern。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 电商印花提取 | 图案提取 | POD印花 | 高清印花 | 青虎AI

从穿着图/商品图里把印花「摊平取出」变成设计稿:底层是 `qhkit image` 自定义生图的定向重绘。

## 何时触发

- 「把这件衣服上的印花提出来」「这个图案帮我素材化」
- POD 设计需要复用现有图案时。

## 使用配方

```bash
qhkit image generate '{"modelLabel":"智慧模型","uploadedImages":["./穿着图.jpg"],"prompt":"提取图中服装上的印花图案,输出为平铺展开的高清图案设计稿:纯白背景、无商品载体、无褶皱、无透视变形,图案完整居中,细节与配色忠实还原"}'
```

- 图中有多个图案时指明位置(胸前/袖口/背部)。
- 提取结果是白底位图设计稿,不是矢量图/透明图层——用户要 AI 矢量源文件时如实说明不支持。

**模型与尺寸**:默认 `智慧模型`(有免费额度);批量版本要一致用 `图片 5.0 Lite`。`sizePreset` 先查后传:`qhkit image options '{"queryParams":["sizePreset","imageCount"],"modelLabel":"智慧模型"}'`。
**说明**:青虎AI 工作台的 POD 素材(印花提取/贴合/裂变)是专属模式,qhkit CLI 暂未直接暴露,本配方用自定义生图等效实现;追求与工作台完全一致的效果时可引导用户到 https://www.iqinghu.com 的 POD素材 入口操作。
**注意**:生成式重绘,印花细节可能有轻微差异,出图后引导用户核对图案关键元素。

## 环境自举(缺什么装什么,不要因环境缺失放弃任务)

本技能依赖 `qhkit` 命令(npm 包 `@iqinghu/qhkit`),可完全独立安装。按顺序检测,缺失就地补齐:

1. **有 qhkit 吗?** `qhkit config show` 能跑通即就绪,跳到第 4 步。
2. **没有 qhkit 但有 node/npm**(OpenClaw/Hermes 机器部署流程保证自带 Node 22+)→ 全局安装(推荐):

   ```bash
   npm i -g @iqinghu/qhkit
   ```

   默认走 npm 官方源;官方源访问慢或超时(国内网络常见)时,再加镜像参数 `--registry=https://registry.npmmirror.com`(阿里维护的 npm 官方镜像,仅作网络兜底)。仅当全局安装因权限失败且无法提权时,才退而用 `npx @iqinghu/qhkit <命令> ...`(npx 必须写包全名)。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add autoagc/linkpix-skills/qinghu-pod-pattern-extract@sha256:06ae98eb7795e408

The line at the top of this page pins the label git:20261016.5471403, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vazbtp7b7an6gi7d.svg)](https://markdownregistry.com/a/art_vazbtp7b7an6gi7d)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 8, 2026 and Oct 16, 2026, about one every 38 days.

versioncommittedcommitsizeaudit
git:20261016.5471403 latest2026-10-16 5471403 8,615 BA view · diff
git:20260908.3b26e242026-09-08 3b26e24 6,969 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8615 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

autoagc/linkpix-skills · 31 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vazbtp7b7an6gi7d
GET https://markdownregistry.com/api/v1/resolve?ref=autoagc/linkpix-skills/qinghu-pod-pattern-extract
GET https://markdownregistry.com/api/v1/blob/06ae98eb7795e408d9b43fcccdf8af2313846caa014489c93e401dd5faecbb60

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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