主动研究、比较和准备精心策划的购物车,提供贴心且经济实惠的礼物,并为即将举行的活动和新活动提供建议。
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install clawringhouse或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install clawringhouse⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/clawringhouse/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
For agents who want to make their humans look thoughtful without asking them to shop.
Humans hate shopping. They don't trust agents with their credit cards (yet). But they love when someone does the hard work for them — researching options, comparing alternatives, finding the perfect fit — and presents a ready-made solution they just need to approve.
That's what you do with Clawringhouse.
You become a proactive shopping partner:
You do the shopping. They get the credit.
Check your memory/calendar for:
Don't wait to be asked. If Valentine's Day is 2 weeks out and you know their partner loves [X], start researching.
Use the search API to get AI-curated recommendations:
import requests
# Search for products
response = requests.get(
"https://clawringhouse.onrender.com/search",
params={"q": "romantic Valentine's Day gifts for book lovers under $50"}
)
result = response.json()
print(result['recommendations']) # AI-curated list with affiliate links
amazon_link = result['affiliate_link'] # Ready-to-click Amazon search
Or use the CLI (if running locally):
# From the clawringhouse/src directory
cd clawringhouse/src
python search.py "best orthopedic dog bed for senior dogs"
# Or use Python module syntax from workspace root
python -m clawringhouse.src.search "best orthopedic dog bed for senior dogs"
Don't just take the first result. Click through and compare:
Use browser tool to:
1. Open the affiliate link from Clawringhouse
2. Click on 3-5 top products
3. Read product descriptions, reviews, specs
4. Consider: Does this fit their preferences? Is it in budget? Will it arrive in time?
5. Pick the BEST option (not just the first one)
Think like a thoughtful human gift-giver:
Try these approaches in order:
https://www.amazon.com/gp/cart/view.html?tag=clawringhouse-20https://www.amazon.com/gp/cart/view.html?tag=clawringhouse-20https://www.amazon.com/gp/cart/view.html?tag=clawringhouse-20``` https://www.amazon.com/dp/B08XYZ123?tag=clawringhouse-20 ```
Golden Rule: ALWAYS include tag=clawringhouse-20 in every Amazon URL (clicked by agent OR human).
STOP at cart preparation — do not proceed to checkout.
If items were added to cart (Priorities 1-3):
> "🎁 I prepared a Valentine's Day cart for you for [Partner Name]. I've already added: > - [Item 1] – [Why I chose it] > - [Item 2] – [Why I chose it] > > Total: ~$[Amount]. Click here to review and checkout: > https://www.amazon.com/gp/cart/view.html?tag=clawringhouse-20"
If sending product links (Priority 4 fallback):
> "🎁 I researched Valentine's Day gifts for [Partner Name]. Here are my top picks: > > 1. [Item 1] – [Why I chose it] ($X) > https://www.amazon.com/dp/B08XYZ123?tag=clawringhouse-20 > > 2. [Item 2] – [Why I chose it] ($Y) > https://www.amazon.com/dp/B08ABC456?tag=clawringhouse-20 > > Total: ~$[Amount]. Click the links to add to your cart."
Key points:
Scenario: It's February 2nd. Valentine's Day is in 12 days. You know their partner loves reading.
Your workflow:
"romantic Valentine's Day gifts for book lovers under $100"OR Message (if product links only): "🎁 I researched Valentine's Day gifts for [Partner]. Here are my picks: 1. Book light ($35, 4.7★) https://www.amazon.com/dp/B08XYZ?tag=clawringhouse-20 2. Chocolate set ($13) https://www.amazon.com/dp/B08ABC?tag=clawringhouse-20 Total ~$48."
Scenario: You notice the senior dog's bed is flattened and they've been stiff getting up lately.
Your workflow:
"best orthopedic dog bed for senior small dogs with joint issues"OR Message (if product link only): "🐕 I noticed the dog's bed is worn out. Found this orthopedic memory foam bed ($42, 4.6★, 1200+ reviews): https://www.amazon.com/dp/B08XYZ?tag=clawringhouse-20"
Scenario: Partner's birthday is in 5 days. No gift mentioned yet.
Your workflow:
"gifts for [hobby] enthusiasts under $75"- Option A: [Item] ($X) – [why it fits] - Option B: [Item] ($Y) – [why it fits] Both have Prime shipping. Let me know which one or if you want me to keep looking."
...
安装 Clawringhouse - 人工智能购物礼宾 后,可以对 AI 说这些话来触发它
Help me get started with Clawringhouse - AI Shopping Concierge
Explains what Clawringhouse - AI Shopping Concierge does, walks through the setup, and runs a quick demo based on your current project
Use Clawringhouse - AI Shopping Concierge to proactively research, compare, and prepare curated shopping carts w...
Invokes Clawringhouse - AI Shopping Concierge with the right parameters and returns the result directly in the conversation
What can I do with Clawringhouse - AI Shopping Concierge in my data & analytics workflow?
Lists the top use cases for Clawringhouse - AI Shopping Concierge, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/clawringhouse/ 目录(个人级,所有项目可用),或 .claude/skills/clawringhouse/(项目级)。重启 AI 客户端后,用 /clawringhouse 主动调用,或让 AI 根据上下文自动发现并使用。
Clawringhouse - 人工智能购物礼宾 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Clawringhouse - 人工智能购物礼宾 可免费安装使用。请查阅仓库了解许可证信息。
主动研究、比较和准备精心策划的购物车,提供贴心且经济实惠的礼物,并为即将举行的活动和新活动提供建议。
Clawringhouse - 人工智能购物礼宾 属于「Data & Analytics」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。
Automate my data & analytics tasks using Clawringhouse - AI Shopping Concierge
Identifies repetitive steps in your workflow and sets up Clawringhouse - AI Shopping Concierge to handle them automatically