Overview
- Skill Key
- evoleinik/airshelf
- Author
- evoleinik
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/evoleinik/airshelf
- Latest Commit SHA
- 52250457b640535ec8d6db5aa48a07e59505bc1b
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.
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 airshelf 技能。 若已安装,则直接安装 airshelf 技能。
# 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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