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Agent Skill · 研究检索

custom-gifts-leewow(定制礼品 leowow)

custom-gifts-leewow 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

custom-gifts-leewow 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 32,894。

总安装 2,447周安装 103GitHub Stars 公开资料未说明下载 857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-0
版本
1.0.1

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:custom-gifts-leewow(定制礼品 leowow)
来源仓库:https://github.com/yqxu/custom-gifts-leewow
安装命令:
openclaw skills install custom-gifts-leewow
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 custom-gifts-leewow

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

custom-gifts-leewow 浏览并制作各类定制礼物,如包袋、马克杯、手机壳与服装。适用于 OpenClaw 中拓展电商产品线或提供 B2B 礼品解决方案。上传任意图像即可生成初步设计稿,支持后续微调颜色与排版元素。部分高端材质需额外付费升级,请在下单前核对最终报价明细。

国际运输可能产生关税,建议向用户明确告知目的地相关政策。

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 OpenClaw;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 openclaw skills install custom-gifts-leewow;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

    它需要接触敏感数据,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

custom-gifts-leewow 怎么安装?

在终端执行 openclaw skills install custom-gifts-leewow。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

custom-gifts-leewow 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

custom-gifts-leewow 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

custom-gifts-leewow 是免费的吗?

来源标注的许可证是 MIT-0。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。

custom-gifts-leewow 用的人多吗?

公开数据是累计安装 2,447 次,近一周安装 103 次,下载 857 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。

custom-gifts-leewow 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
custom-gifts-leewow

定制礼品 leowow · 本页

2,447—接触敏感数据MIT-0有提醒

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
custom-gift-leewow
description
>-

Custom Gift — Leewow

Create personalized gifts and custom products powered by AI. This skill provides:

ToolPurpose
browse_templatesDiscover customizable product templates (bags, accessories, home decor, apparel, etc.)
generate_previewUpload a design image and trigger AI generation
get_statusCheck generation status and download preview image

When to Use

  • User wants to send a gift or create something personalized
  • User says "browse products", "show me what I can customize", "gift ideas"
  • User provides an image and wants to turn it into a product
  • User says "make this into a mug/bag/shirt", "customize this design"

CRITICAL: Images Must Be Sent via Media, NOT Markdown

Feishu / chat platforms cannot render ![image](local_path) markdown. To show images to the user you MUST send them as media attachments using whatever message/media mechanism your platform provides (e.g. the message tool with a media parameter on OpenClaw/Feishu).

Tool outputs include a localImagePath (workspace file) for every image. Use that path as the media attachment. Showing images is mandatory, not optional.

Generator Output Format (MUST FOLLOW)

This skill uses a two-step generator pattern.

Step 1: Browse — Show Templates

After calling browse_templates, the tool returns JSON with a list of templates. Each template has localImagePath (cover image downloaded to workspace).

For every template you MUST:

  1. Send the cover image as a media attachment using the localImagePath
  2. Include a text caption with: name, price, templateId

Example message flow:

[send image: /Users/.../.openclaw/workspace/template_images/template_3_xxx.jpg]
1. 男士卫衣 (Men's Hoodie) — 💰 $29.9 USD — 模板ID: 3

[send image: /Users/.../.openclaw/workspace/template_images/template_12_xxx.jpg]
2. 帆布手提袋 (Canvas Tote Bag) — 💰 $19.9 USD — 模板ID: 12

...

告诉我你想选哪个,我来帮你生成效果图!

Rules for Step 1:

  • MUST send each template's cover image as media — do NOT skip images
  • MUST include price and templateId in text
  • Images are at localImagePath in the JSON — already in workspace
  • If sending all images at once is supported, do that; otherwise send one by one

Step 2: Generation Complete — Show Preview + Purchase Link

After get_generation_status returns COMPLETED, the JSON contains:

  • localImagePath — preview image in workspace
  • purchaseUrl — signed purchase/order page link

You MUST:

  1. Send the preview image as a media attachment using localImagePath
  2. Send the purchase link in the text message

Example:

[send image: /Users/.../.openclaw/workspace/previews/leewow_preview_task_xxx.jpg]

你的定制效果图出来啦 🎉
🛒 点击下单购买: https://leewow.com/h5/preview?taskId=xxx&skid=...&sig=...

喜欢吗?如果想调整或者试试其他产品,告诉我!

Rules for Step 2:

  • MUST send the preview image as media — this is the whole point
  • MUST include the purchase link (it's pre-signed with skid/sig)
  • Do NOT just describe the product in text — the user needs to SEE the image

Common Mistakes to AVOID

❌ Using ![image](path) markdown — Feishu can't render local paths this way ❌ Just saying "完成啦!" and describing the product in text without sending the image ❌ Omitting the purchase/order link ❌ Sending a table/list instead of actual images ❌ Saying "图片已下载到本地" without actually sending the image to the user

Prerequisites

  • CLAW_SK — Leewow Secret Key (format: sk-leewow-{keyId}-{secret})
  • CLAW_BASE_URL — API base URL (default: https://leewow.com)
  • CLAW_PATH_PREFIX — Path prefix (default: /v2 for leewow.com)
  • LEEWOW_API_BASE — Base URL for COS STS credentials (default: https://leewow.com)
  • Python 3.10+ with requests and cos-python-sdk-v5

Configuration

Environment variables are loaded from ~/.openclaw/.env:

CLAW_SK=sk-leewow-xxxx-xxxx
CLAW_BASE_URL=https://leewow.com
CLAW_PATH_PREFIX=/v2
LEEWOW_API_BASE=https://leewow.com

Image Requirements (IMPORTANT)

For Input Images (User Upload)

  • Must be in workspace directory: ~/.openclaw/workspace/
  • Supported formats: JPG, PNG, WebP
  • Recommended: Clear, well-lit images for best results

For Preview Images (Generated Output)

  • Automatically saved to: ~/.openclaw/workspace/previews/
  • Filename format: leewow_preview_{taskId}.{ext}
  • The agent can directly display these images to users

COS Presigned URLs

For private COS buckets, you may need to generate presigned URLs for accessing images:

# Generate presigned URL for a COS image
python3 scripts/cos_presign.py "https://bucket.cos.region.myqcloud.com/key.png" --json

# With custom expiration (e.g., 1 hour = 3600 seconds)
python3 scripts/cos_presign.py "COS_URL" --expired 3600

# Use with get_status to get presigned preview URL
python3 scripts/get_status.py {taskId} --presign --json

Note: Most Leewow COS buckets are public, so presigned URLs are optional.

Typical Flow (Generator Pattern)

  1. Browse (Step 1) — Call browse_templates → get JSON with localImagePath for each template → send each cover image as media + text caption (name, price, ID) → ask user to pick
  2. Upload — User provides an image (must be in workspace ~/.openclaw/workspace/)
  3. Generate — Call generate_preview → get taskId → immediately proceed to step 4
  4. Poll — Call get_generation_status with poll=true → wait for COMPLETED
  5. Display (Step 2) — Send preview image as media (localImagePath) + text with PURCHASE LINK (purchaseUrl)

Tool Reference

browse_templates

Browse available product templates.

python3 scripts/browse.py --count 3 --json

Options:

  • --category: Filter by category (bag, accessory, home, apparel)
  • --count: Number of results (1-5, default 3)
  • --json: Output JSON format (includes image URLs)

generate_preview

Upload image and trigger generation.

python3 scripts/generate.py --image-path ./workspace/my_design.png --template-id 3 --json

Options:

  • --image-path: Required. Path to design image (must be in workspace)
  • --template-id: Required. Product template ID from browse_templates
  • --design-theme: Optional style description
  • --aspect-ratio: Image ratio (3:4, 1:1, 4:3, default 3:4)
  • --json: Output JSON format

Returns: Task ID for status polling. Generation is async (~30-60s).

get_status

Check generation status and download preview image.

python3 scripts/get_status.py {taskId} --poll

Options:

  • task_id: Task ID from generate_preview
  • --poll: Wait until generation completes
  • --timeout: Poll timeout in seconds (default 120)
  • --no-download: Skip downloading preview image
  • --json: Output JSON format

Returns: Generation status and local image path (if completed).

Safety Rules

  • Never expose or log the CLAW_SK value. When confirming configuration, only show the last 4 characters.
  • Input images must be in workspace directory for the agent to access them
  • Preview images are automatically saved to workspace/previews/
  • Limit browse results to 20 templates maximum per request

Examples

User: "I want to make a custom gift for my friend"
→ browse_templates → for each template: send cover image as media + text caption
→ user picks → generate_preview → get_generation_status --poll
→ send preview image as media + purchaseUrl in text

User: "Turn this photo into a phone case"
→ browse_templates --category phone → send images as media → user picks
→ generate_preview → get_generation_status --poll
→ send preview image as media + purchaseUrl in text

User: "Show me what products I can customize"
→ browse_templates → send ALL template images as media with captions

Output Structure

browse_templates

[
  {
    "index": 1,
    "templateId": 3,
    "name": "Men's Hoodie",
    "price": "**$29.9 USD**",
    "localImagePath": "/Users/.../.openclaw/workspace/template_images/template_3_xxx.jpg",
    "remoteImageUrl": "https://...",
    "skuType": "hoodie"
  }
]

→ Agent sends localImagePath as media attachment + text caption per template.

generate_preview --json

{
  "taskId": "task_xxx",
  "status": "PENDING",
  "estimatedSeconds": 45,
  "templateId": 3,
  "_success": true
}

get_status --json (completed)

{
  "taskId": "task_xxx",
  "status": "COMPLETED",
  "purchaseUrl": "https://leewow.com/h5/preview?taskId=xxx&skid=...&sig=...",
  "localImagePath": "/Users/.../.openclaw/workspace/previews/leewow_preview_task_xxx.jpg"
}

→ Agent sends localImagePath as media attachment + purchaseUrl in text.

平台分布

OpenClaw

79.57%
按下载量换算682

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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