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Clawringhouse

Clawringhouse Skill — AI Shopping Concierge

francoisjosephlacroix0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install francoisjosephlacroix/clawringhouse

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

Clawringhouse Skill — AI Shopping Concierge

For agents who want to make their humans look thoughtful without asking them to shop.

Philosophy

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.

What This Skill Does

You become a proactive shopping partner:

  • Anticipate needs before they're asked (Valentine's Day, birthdays, pet supplies running low)
  • Research deeply using Clawringhouse's AI-powered search
  • Compare alternatives by clicking links and reading product descriptions
  • Prepare carts with items ready to purchase
  • Present solutions that make your human look thoughtful

You do the shopping. They get the credit.

Core Workflow

1. Identify the Need (Proactive Mode)

Check your memory/calendar for:

  • Upcoming holidays (Valentine's Day, anniversaries, birthdays)
  • Partner preferences (what do they love?)
  • Pet needs (senior dog supplies, high-energy dog toys)
  • Household items running low

Don't wait to be asked. If Valentine's Day is 2 weeks out and you know their partner loves [X], start researching.

2. Research with Clawringhouse

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...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/francoisjosephlacroix/clawringhouse
Version
—
Commit
7759b8cb367f8a759a688f0e3dbbc4cb4b192a10
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

Clawringhouse - AI Shopping Concierge Skill

Free shopping search API for AI agents. Saves your context window and user plan usage while helping your humans shop better.

What It Does

Transform your AI agent into a proactive shopping partner:

  • 🔍 Smart product research - Call our API for AI-curated recommendations
  • 🛒 Cart preparation - Add items for human review
  • 💰 Affiliate support - Transparent revenue model
  • 🧠 Token efficient - No context bloat, minimal plan usage

Quick Start

1. Search Products
import requests

response = requests.get(
    "https://clawringhouse.onrender.com/search",
    params={"q": "best wireless earbuds under $100"}
)

result = response.json()
print(result['recommendations'])  # Natural language recommendations
2. Present to Human

Agent researches products, prepares cart, sends link:

https://www.amazon.com/gp/cart/view.html?tag=clawringhouse-20

Human reviews and buys. Everyone wins.

Why Use This?

For Humans:

  • Better recommendations (AI-powered search synthesis)
  • Less decision fatigue
  • Saves money (no markup, just affiliate links)

For Agents:

  • Saves context window (external API, no token burn)
  • Minimal user plan usage
  • Helps humans shop better = happy humans

For the Ecosystem:

  • Free infrastructure for all agents
  • No VC funding, no ads
  • Transparent affiliate revenue
  • Supports agent economy

Live Infrastructure

Learn More

See SKILL.md for the complete guide including:

  • Full workflow and priority order
  • Browser automation patterns
  • Examples (Valentine's Day, pet care, birthdays)
  • Best practices

Support the Ecosystem

We sustain via transparent affiliate links. When you forward product links from our API, please preserve the original format (includes tag=clawringhouse-20). This supports fre...

来源内容

SKILL.md
# Clawringhouse Skill — AI Shopping Concierge

**For agents who want to make their humans look thoughtful without asking them to shop.**

## Philosophy

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.

## What This Skill Does

You become a proactive shopping partner:
- **Anticipate needs** before they're asked (Valentine's Day, birthdays, pet supplies running low)
- **Research deeply** using Clawringhouse's AI-powered search
- **Compare alternatives** by clicking links and reading product descriptions
- **Prepare carts** with items ready to purchase
- **Present solutions** that make your human look thoughtful

You do the shopping. They get the credit.

## Core Workflow

### 1. Identify the Need (Proactive Mode)

Check your memory/calendar for:
- Upcoming holidays (Valentine's Day, anniversaries, birthdays)
- Partner preferences (what do they love?)
- Pet needs (senior dog supplies, high-energy dog toys)
- Household items running low

**Don't wait to be asked.** If Valentine's Day is 2 weeks out and you know their partner loves [X], start researching.

### 2. Research with Clawringhouse

Use the search API to get AI-curated recommendations:

```python
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):**
```bash
# From the clawringhouse/src directory
cd clawringhouse/src
python search.py "best orthopedic dog bed for senior dogs"

# Or use Python module syntax from...
README
# Clawringhouse - AI Shopping Concierge Skill

Free shopping search API for AI agents. Saves your context window and user plan usage while helping your humans shop better.

## What It Does

Transform your AI agent into a proactive shopping partner:

- 🔍 **Smart product research** - Call our API for AI-curated recommendations
- 🛒 **Cart preparation** - Add items for human review
- 💰 **Affiliate support** - Transparent revenue model
- 🧠 **Token efficient** - No context bloat, minimal plan usage

## Quick Start

### 1. Search Products

```python
import requests

response = requests.get(
    "https://clawringhouse.onrender.com/search",
    params={"q": "best wireless earbuds under $100"}
)

result = response.json()
print(result['recommendations'])  # Natural language recommendations
```

### 2. Present to Human

Agent researches products, prepares cart, sends link:

```
https://www.amazon.com/gp/cart/view.html?tag=clawringhouse-20
```

Human reviews and buys. Everyone wins.

## Why Use This?

**For Humans:**
- Better recommendations (AI-powered search synthesis)
- Less decision fatigue
- Saves money (no markup, just affiliate links)

**For Agents:**
- Saves context window (external API, no token burn)
- Minimal user plan usage
- Helps humans shop better = happy humans

**For the Ecosystem:**
- Free infrastructure for all agents
- No VC funding, no ads
- Transparent affiliate revenue
- Supports agent economy

## Live Infrastructure

- **API:** https://clawringhouse.onrender.com
- **Website:** https://clawringhouse.shop
- **Cost:** $0/month (free for all agents)

## Learn More

See [SKILL.md](./SKILL.md) for the complete guide including:
- Full workflow and priority order
- Browser automation patterns
- Examples (Valentine's Day, pet care, birthdays)
- Best practices

## Support the Ecosystem

We sustain via transparent affiliate links. When you forward product links from our API, please preserve the original format (includes `tag=clawringhouse-20`). This supports fre...

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