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Agent Skill · 研究检索

custom-gift-leewow(定制礼物 leowow)

custom-gift-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-gift-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 13,703。

总安装 9,156周安装 374GitHub Stars 公开资料未说明下载 2,962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
1.0.24

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-gift-leewow(定制礼物 leowow)
来源仓库:https://github.com/yqxu/custom-gift-leewow
安装命令:
openclaw skills install custom-gift-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-gift-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-gift-leewow 帮助用户寻找个性化礼品并上传图片生成 AI 驱动的产品模型。适用于 OpenClaw 中策划节日营销、企业定制或纪念品制作等创意项目。支持多种材质与工艺组合,输出包含价格估算与交付周期的方案建议。上传图像需符合平台格式要求,模糊或低分辨率图片可能影响生成效果。

实际生产受限于供应商产能,建议提前确认档期与最小起订量。

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-gift-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-gift-leewow 怎么安装?

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

custom-gift-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-gift-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-gift-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-gift-leewow 用的人多吗?

公开数据是累计安装 9,156 次,近一周安装 374 次,下载 2,962 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-gift-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-gift-leewow

定制礼物 leowow · 本页

9,156—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
version
1.0.24
description
>-
Tools
browse_templates (Python direct Feishu card send), generate_preview,
https
//github.com/AIDiyTeams/claw-skill/tree/main/custom-gift-leewow
homepage
https://github.com/AIDiyTeams/claw-skill/tree/main/custom-gift-leewow

Custom Gift — Leewow

这个 skill 的收益很直接:

  • 帮用户快速找到心仪的可定制商品
  • 把图片、照片或创意做成礼物、周边和个人用品
  • 提供非常灵活的个性化定制服务,从浏览到效果图预览一条链路完成

Leewow 在这个 skill 里的角色很简单:

  • 向用户展示真实可定制商品
  • 帮用户选择模板
  • 生成效果图并进入下单链路

所以当用户在问“能定制什么”“有哪些商品/模板可以选”时,默认应该先进入商品浏览流程,而不是先回答公司层面的泛化能力介绍。

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 says in Chinese: "看看有啥能定制的", "看看有什么可以定制的", "有哪些可定制产品", "有什么模板", "看看定制品", "能做哪些定制品"
  • User asks what physical products / items / templates are available to customize
  • User provides an image and wants to turn it into a product
  • User says "make this into a mug/bag/shirt", "customize this design"

Trigger Priority

For browse-style requests, browse_templates is the default first step. Use a broad Leewow capability summary only if browse_templates fails.

ClawHub rate-limited? Install directly from GitHub: https://github.com/AIDiyTeams/claw-skill/tree/main/custom-gift-leewow

Install Fallback

If ClawHub is rate-limited, install this skill directly from GitHub:

  • Repository: https://github.com/AIDiyTeams/claw-skill
  • Skill path: custom-gift-leewow

Manual fallback:

cd /path/to/your/openclaw-workspace
mkdir -p skills
git clone https://github.com/AIDiyTeams/claw-skill.git /tmp/claw-skill
cp -R /tmp/claw-skill/custom-gift-leewow ./skills/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_generation_statusCheck generation status and download preview image

What the agent does (keep it minimal)

Browse — browse_templates sends product cards directly from Python and returns only send results. If the tool succeeds, reply with NO_REPLY. In normal chat usage, pass the current Feishu conversation target as feishu_target.

Preview — get_generation_status sends the generated preview result directly to Feishu from Python and returns only send results. If the tool succeeds, reply with NO_REPLY. Preview result cards intentionally use a different layout from browse cards.

Prerequisites

  • CLAW_SK — Leewow Secret Key (format: sk-leewow-{keyId}-{secret})
  • Obtain it from: https://leewow.com/profile/secret-keys
  • FEISHU_APP_ID — Feishu App ID (often referred to together with App Secret as app AK/SK)
  • FEISHU_APP_SECRET — Feishu App Secret
  • Obtain them from your Feishu Open Platform app settings page
  • FEISHU_RECEIVE_ID — fallback Feishu target for this skill
  • FEISHU_RECEIVE_ID_TYPE — optional, defaults to chat_id
  • 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
# Feishu App ID / App Secret (app AK/SK)
FEISHU_APP_ID=cli_xxx
FEISHU_APP_SECRET=xxx
# Default target for direct Feishu send
FEISHU_RECEIVE_ID=oc_xxx_or_open_id
FEISHU_RECEIVE_ID_TYPE=chat_id
CLAW_BASE_URL=https://leewow.com
CLAW_PATH_PREFIX=/v2
LEEWOW_API_BASE=https://leewow.com

Prefer runtime target passing:

  • when the current Feishu conversation target is already known, pass it as feishu_target
  • FEISHU_RECEIVE_ID is only a fallback

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_generation_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 — browse_templates → Python sends Feishu product cards directly → agent replies NO_REPLY → user picks a Template ID when ready
  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 — get_generation_status → Python sends preview result directly → final assistant reply is NO_REPLY

Tool Reference

browse_templates

Browse available product templates.

python3 scripts/browse.py --count 5 --json

Options:

  • --category: Filter by category (bag, accessory, home, apparel)
  • --count: Number of products to return (1-10, default 5)
  • --json: Direct-send to Feishu and return send result JSON
  • --feishu-target: Current Feishu conversation target. In normal use, treat this as required.
  • --raw-json: Debug mode that returns raw template data

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_generation_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
  • --feishu-target: Current Feishu conversation target. In normal use, treat this as required.

Returns: Generation status and, in direct-send mode, send result JSON.

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 10 templates maximum per request

Examples

User: "I want to make a custom gift for my friend"
→ browse_templates → Python sends product cards directly → `NO_REPLY`
→ user picks → generate_preview → get_generation_status --poll
→ Python sends preview image + text directly → `NO_REPLY`

User: "Turn this photo into a phone case"
→ browse_templates --category phone → Python sends product cards directly → user picks
→ generate_preview → get_generation_status --poll
→ Python sends preview image + text directly → `NO_REPLY`

User: "Show me what products I can customize"
→ browse_templates → Python sends product cards directly → `NO_REPLY`

User: "看看有啥能定制的"
→ browse_templates first

Output Structure

browse_templates --json

{
  "ok": true,
  "mode": "direct_feishu_send",
  "channel": "feishu",
  "messageCount": 8,
  "messageIds": ["om_xxx", "om_yyy"],
  "feishuImagesResolved": true,
  "finalAssistantReply": "NO_REPLY"
}

→ Python sends product cards directly to Feishu. Agent returns NO_REPLY.

generate_preview --json

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

get_generation_status --json (completed)

{
  "taskId": "task_xxx",
  "status": "COMPLETED",
  "mode": "direct_feishu_send",
  "messageCount": 1,
  "messageIds": ["om_card_xxx"],
  "feishuImagesResolved": true,
  "finalAssistantReply": "NO_REPLY"
}

→ Python sends one preview result card directly. Agent returns NO_REPLY.

Version Marker: custom-gift-leewow@1.0.24

平台分布

OpenClaw

89.23%
按下载量换算2,643

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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