nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install evoleinik/airshelfInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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.
Activate this skill when the user wants to:
https://dashboard.airshelf.ai
All endpoints are public. No API key needed. CORS enabled.
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 offsetcategory — Filter by categorybrand — Filter by brandmin_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 withinsort — 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 propositiondecision_pack.best_for — Array of ideal use casesdecision_pack.pros / decision_pack.cons — Verified trade-offsdecision_pack.allergens — Safety...These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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...AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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