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 for products on Chinese e-commerce platforms (Taobao, JD, Vipshop, PDD, Meituan, Ele.me, etc.) using web search. This skill helps users find products, compare prices, and get recommendations from major shopping platforms.
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 harrylabs0913/find-itemsInspect 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.
This skill helps you search for products on major Chinese e-commerce platforms.
| Platform | Type | Best For |
|---|---|---|
| 淘宝 (Taobao) | C2C/B2C | Variety, price comparison |
| 京东 (JD) | B2C | Electronics, fast delivery |
| 唯品会 (Vipshop) | B2C | Brand discounts, fashion |
| 拼多多 (PDD) | C2M | Low prices, group buying |
| 天猫 (Tmall) | B2C | Brand stores, quality |
| 苏宁易购 (Suning) | B2C | Appliances, electronics |
| 美团 (Meituan) | O2O | Local services, food delivery |
| 饿了么 (Ele.me) | O2O | Food delivery |
| 抖音商城 (Douyin) | Social commerce | Live shopping, trends |
| 小红书 (Xiaohongshu) | Social commerce | Reviews, lifestyle |
Use this skill when the user:
Identify:
Build a search query with platform and product:
{platform} {product} {filters}
Examples:
Use web search to find current product information:
# Using agent-reach or similar search capability
web_search "{query}"
Format results with:
# Basic search
find-items search "iPhone 16" --platform taobao
# Search with filters
find-items search "运动鞋" --platform jd --max-price 500 --brand nike
# Compare across platforms
find-items compare...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Find Items
This skill helps you search for products on major Chinese e-commerce platforms.
## Supported Platforms
| Platform | Type | Best For |
|----------|------|----------|
| 淘宝 (Taobao) | C2C/B2C | Variety, price comparison |
| 京东 (JD) | B2C | Electronics, fast delivery |
| 唯品会 (Vipshop) | B2C | Brand discounts, fashion |
| 拼多多 (PDD) | C2M | Low prices, group buying |
| 天猫 (Tmall) | B2C | Brand stores, quality |
| 苏宁易购 (Suning) | B2C | Appliances, electronics |
| 美团 (Meituan) | O2O | Local services, food delivery |
| 饿了么 (Ele.me) | O2O | Food delivery |
| 抖音商城 (Douyin) | Social commerce | Live shopping, trends |
| 小红书 (Xiaohongshu) | Social commerce | Reviews, lifestyle |
## When to Use This Skill
Use this skill when the user:
- Asks "搜索[商品]" or "找[商品]"
- Wants to compare prices across platforms
- Needs product recommendations
- Asks "哪里买[商品]便宜"
- Wants to find specific items with filters (price, brand, etc.)
## How It Works
### Step 1: Understand the Request
Identify:
1. Product name/keywords
2. Preferred platform (if specified)
3. Filters: price range, brand, specifications
4. Sort preference: price, rating, sales
### Step 2: Construct Search Query
Build a search query with platform and product:
```
{platform} {product} {filters}
```
Examples:
- "淘宝 iPhone 16 价格"
- "京东 索尼耳机 降噪"
- "唯品会 耐克运动鞋 折扣"
- "拼多多 纸巾 便宜"
### Step 3: Execute Search
Use web search to find current product information:
```bash
# Using agent-reach or similar search capability
web_search "{query}"
```
### Step 4: Parse and Present Results
Format results with:
- Product name and image
- Price (with platform comparison if multiple)
- Store/seller info
- Rating/reviews
- Direct links
## Command Usage
```bash
# Basic search
find-items search "iPhone 16" --platform taobao
# Search with filters
find-items search "运动鞋" --platform jd --max-price 500 --brand nike
# Compare across platforms
find-items compare...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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