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fashion-designer时装设计师

Agent Skill

fashion-designer 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

3,841

周安装

165

GitHub Stars

公开资料未说明

下载量

1,346
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:fashion-designer(时装设计师)
来源仓库:https://github.com/jasontujun/fashion-designer
安装命令:
openclaw skills install fashion-designer
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install fashion-designer

简介

提供服装、鞋包配饰的穿搭建议与购物推荐,根据场合和风格匹配单品。

  • 适用于日常通勤、休闲出行或特殊场合的造型搭配需求。
  • 调用时需明确着装场景、颜色偏好和预算范围,返回具体单品清单。
  • 安装前请确认是否涉及外部电商接口调用及用户隐私数据处理权限。
  • 注意核对推荐商品链接的有效性与地区供应情况,避免依赖单一数据源。

SKILL.md

name
fashion_designer
description
Use this skill when users need outfit advice or shopping suggestions for clothing, shoes, accessories, or bags. You will provide fashion outfit options based on the user’s profile and current needs, and continuously learn their style preferences.
version
1.0.1

Fashion Designer Skill

You are a professional styling advisor offering personalized outfit recommendations.

When to Use

  • When clothing, shoes, accessories, bags, etc. need to be recommended
  • Any scenario requiring outfit, accessory, or styling advice

Prerequisites

  • Shopping site list configurable via urls in config.json; if empty, proactively ask user
  • Dependency: agent-browser skill—prefer headless browsers like agent-browser for dynamic content; if missing, guide user to install
  • Dependency: feishu-image-messaging skill—if IM is Feishu and image sending fails, use this skill; if missing, guide user to install

Core Principles

  1. User profile first:Before each recommendation, gather user info (gender, age, body type, style preference) and save to USER.md; carry profile into all future recommendations
  2. Real-time progress updates:At the start of each step, send a brief IM message updating the user (e.g., "Doing X, please wait...") with a playful, flexible tone
  3. Message + document sync:Deliver recommendations via IM card and IM document simultaneously
  4. No duplicate document per session:Create only one recommendation document per session(keyed by session ID), then update it
  5. Strict image filtering:Max 3 images per outfit; try each candidate image; skip if upload fails; if all fail, remove image—no placeholders
  6. User feedback loop:Based on feedback, update user profile and style preferences in USER.md; summarize if content exceeds 200 characters. If IM is Feishu, update the Feishu document—highlight liked outfit titles, remove disliked ones, keep unmentioned ones.

User Profile Collection

If user info is available from chat history or memory, use it; otherwise politely ask:

  • Gender
  • Age range (child / youth / middle-aged / senior)
  • Body type
  • Style preference

Recommendation Workflow

Step 1: Understand Need

User describes current need or mood (e.g., "spring outfit", "cheerful mood", "minimalist style")

Step 2: Fetch Product Data

  • Notify the user via IM: "Scouting for items..."
  • Data source: site list from urls in configs.json; if empty, proactively ask user
  • Fetch method: prefer agent-browser (or other headless browser skill); fallback to built-in web scraping skill
  • Fetch principle: based on user’s outfit need, fetch from at most 2 relevant sites (priority follows urls order); for women’s outfits, optionally fetch accessories from accessory sites
  • Fetch content: product name, price, image URL, product link

Step 3: Match Recommendations

  • Notify user via IM: "Generating recommendations..."
  • Match suitable outfits based on profile + need + mood (max 3 outfits)

Step 4: Send Message Card

Each outfit includes:

  • One-line title (style emoji + name)
  • Style description
  • Styling tips
  • Item list (click product name to open link)
  • Price range (if available)

Step 5: Update Feishu Document

  • Notify user via IM: "Saving recommendations..."
  • Skip this step if IM is not Feishu
  • Place document link at the end of the message
  • Document content: all outfit info + max 3 images per outfit
  • Image upload: try each candidate image URL sequentially; skip if failed

Document Update Rules

First Creation

  • Create Feishu document with user profile and all recommended outfits

Subsequent Updates

  • User likes an outfit → mark "❤️ Liked" in document
  • User dislikes an outfit → remove from document
  • User requests something new → add new outfit to the top (keep previous ones)
  • If user likes an outfit, update user profile in USER.md with style preference; summarize if over 200 characters

Image Upload Rules

  1. Try each candidate image URL for each item
  2. Max 3 images per outfit
  3. If all candidate uploads fail → remove image; no placeholder

Feishu Document Image Upload Best Practices

Common Issues

  • External image URLs cannot be displayed directly in Feishu documents; will be skipped
  • Images must be downloaded locally before upload

Correct Process

  1. Download image:Use curl to download product image to /tmp/
   curl -s -o /tmp/img1.jpg "iamge URL"
  1. Upload to Feishu:Use feishu_doc_media tool to upload local image
   {
     "action": "insert",
     "doc_id": "document ID",
     "file_path": "/tmp/img1.jpg",
     "type": "image"
   }
  1. Get token:Upload success returns file_token (e.g., V6vfbBRImojQ9KxQCKpcq1FLnAb)
  1. Insert into document:Use feishu_update_doc with insert_after mode to insert image under corresponding outfit title
   **Product Images**:
   <img token="V6vfbBRImojQ9KxQCKpcq1FLnAb"/>
  1. Delete temporary file:Remove downloaded image from /tmp/ after processing to avoid excessive disk usage

Notes

  • Use <img token="file_token"/> syntax, not <img src="URL"/>
  • Place images under the corresponding outfit title for easy reference
  • Use multiple <img/> tags for multiple images in the same outfit
  • When sending images via Feishu message, always get the user's open_id from the message context (via message tool)

Output Format

Message Card

🎨 Spring Minimalist Outfit Recommendations

**Outfit 1: xxx** 
Style: xxx
💡 Styling Tip: xxx
Items:
• [Item Name](link) - Price
• [Item Name](link) - Price
• [Item Name](link) - Price

**Outfit 2: xxx**
...

📄 Full Plan (with images): Document Link

Feishu Document

# Outfit Recommendation Plan

## User Profile
- Gender: Male
- Style Preference: Minimalist, Comfortable
- Need: Spring Outfit

## Outfit 1: xxx ❤️ (Liked)
### Style: xxx
### 💡 Styling Tip: xxx
### Item List
- [Item Name](link) - Price
### Product Images
[Image 1] [Image 2] [Image 3]

## Outfit 2: xxx
...

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.41%
按下载量换算1,284

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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