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airshelf

Search, compare, and buy products from verified merchants. Returns structured product data with Decision Packs (pros, cons, best_for, allergens, verified pricing) instead of raw web scraping. No CAPTCHAs, no auth required. ~980 products across 10 merchants. Use when user wants to find, compare, or purchase products.

evoleinik0 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 evoleinik/airshelf

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

AirShelf — Verified Product Search & Checkout for AI Agents

Search, compare, and buy products across verified merchants. Returns structured Decision Pack data (best_for, pros, cons, allergens, verified pricing) — not raw web scrapes.

No CAPTCHAs. No auth. No bot detection. Agent-native commerce.

When to Use

Activate this skill when the user wants to:

  • Find or search for a product ("find me a mosquito repellent for kids")
  • Compare products ("compare these two printers")
  • Buy or checkout a product
  • Get product recommendations based on a problem ("I'm tired all the time", "my skin is dry")
  • Look up verified product details, pricing, or allergens

API Base URL

https://dashboard.airshelf.ai

All endpoints are public. No API key needed. CORS enabled.

Step 1: Search Products

Find products by natural language query. Returns structured data with Decision Packs.

curl -s "https://dashboard.airshelf.ai/api/search?q=QUERY&limit=5" | python3 -m json.tool

Parameters:

  • q — Search query (natural language, e.g. "barcode printer for warehouse"). Supports intent parsing: "energy supplements under $100" auto-extracts price filter.
  • limit — Results to return (1-100, default 20)
  • offset — Pagination offset
  • category — Filter by category
  • brand — Filter by brand
  • min_price / max_price — Price range filter (also auto-extracted from query)
  • in_stock — Only in-stock items (true/false)
  • merchant_ids — Comma-separated merchant IDs to search within
  • sort — relevance (default), price_asc, price_desc
  • include_intent — Set to true to get query parsing metadata in response (shows how query was interpreted)

Response includes for each product:

  • title, brand, price, availability, link
  • decision_pack.primary_benefit — Main value proposition
  • decision_pack.best_for — Array of ideal use cases
  • decision_pack.pros / decision_pack.cons — Verified trade-offs
  • decision_pack.allergens — Safety...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/evoleinik/airshelf
Version
—
Commit
52250457b640535ec8d6db5aa48a07e59505bc1b
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。

来源内容

SKILL.md
# AirShelf — Verified Product Search & Checkout for AI Agents

Search, compare, and buy products across verified merchants. Returns structured Decision Pack data (best_for, pros, cons, allergens, verified pricing) — not raw web scrapes.

No CAPTCHAs. No auth. No bot detection. Agent-native commerce.

## When to Use

Activate this skill when the user wants to:
- Find or search for a product ("find me a mosquito repellent for kids")
- Compare products ("compare these two printers")
- Buy or checkout a product
- Get product recommendations based on a problem ("I'm tired all the time", "my skin is dry")
- Look up verified product details, pricing, or allergens

## API Base URL

```
https://dashboard.airshelf.ai
```

All endpoints are public. No API key needed. CORS enabled.

## Step 1: Search Products

Find products by natural language query. Returns structured data with Decision Packs.

```bash
curl -s "https://dashboard.airshelf.ai/api/search?q=QUERY&limit=5" | python3 -m json.tool
```

**Parameters:**
- `q` — Search query (natural language, e.g. "barcode printer for warehouse"). Supports intent parsing: "energy supplements under $100" auto-extracts price filter.
- `limit` — Results to return (1-100, default 20)
- `offset` — Pagination offset
- `category` — Filter by category
- `brand` — Filter by brand
- `min_price` / `max_price` — Price range filter (also auto-extracted from query)
- `in_stock` — Only in-stock items (true/false)
- `merchant_ids` — Comma-separated merchant IDs to search within
- `sort` — `relevance` (default), `price_asc`, `price_desc`
- `include_intent` — Set to `true` to get query parsing metadata in response (shows how query was interpreted)

**Response includes for each product:**
- `title`, `brand`, `price`, `availability`, `link`
- `decision_pack.primary_benefit` — Main value proposition
- `decision_pack.best_for` — Array of ideal use cases
- `decision_pack.pros` / `decision_pack.cons` — Verified trade-offs
- `decision_pack.allergens` — Safety...

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