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分类: 效率与办公需要 API Key

Shopping Product Search

当需要真实产品数据时使用此技能,包括查找商品、比较价格、推荐商品或查询库存。

person作者: evanfen-c3hubclawhub

Product Discovery

You have access to a product search script that queries a catalog of millions of products across thousands of retailers. Use it whenever you need real product data to answer a user's question.

Prerequisites

  • API key: This skill requires a CHANNEL3_API_KEY environment variable. Get a free key at trychannel3.com.
  • Dependencies: curl and jq must be installed.

Search Script

Location: product-discovery/scripts/search.sh (relative to the skill root)

Run it via the shell. The script requires curl and jq.

Usage

search.sh [OPTIONS] "query text"

Options

| Flag | Description | Example | |------|-------------|---------| | -n NUM | Number of results (default: 5, max: 30) | -n 10 | | -p MAX_PRICE | Maximum price in dollars | -p 100 | | --min-price MIN | Minimum price in dollars | --min-price 50 | | -g GENDER | Gender filter (male/female/unisex) | -g male | | -c CONDITION | Product condition (new/refurbished/used) | -c new | | -a AGE | Comma-separated age groups (newborn/infant/toddler/kids/adult) | -a "kids,toddler" | | --availability STATUS | Comma-separated availability statuses (InStock/OutOfStock/PreOrder/BackOrder/LimitedAvailability/SoldOut/Discontinued) | --availability "InStock" | | -i IMAGE_URL | Search by image (visual similarity) | -i "https://example.com/photo.jpg" | | -b BRAND_IDS | Comma-separated brand IDs to include | -b "brand_abc,brand_def" | | -w WEBSITE_IDS | Comma-separated website IDs to include | -w "website_abc" | | --categories IDS | Comma-separated category IDs to include | --categories "cat_abc" | | --exclude-brands IDS | Comma-separated brand IDs to exclude | --exclude-brands "brand_xyz" | | --exclude-websites IDS | Comma-separated website IDs to exclude | --exclude-websites "website_xyz" | | --exclude-categories IDS | Comma-separated category IDs to exclude | --exclude-categories "cat_xyz" | | --keyword-only | Use exact keyword matching instead of semantic search | --keyword-only | | --next TOKEN | Pagination token from a previous search | --next "tok_abc..." |

The query argument is optional when using -i for image-only search. Text and image can be combined.

Examples

# Basic text search
search.sh "wireless noise cancelling headphones"

# Price-filtered search
search.sh -p 100 -n 10 "running shoes"

# Price range search
search.sh --min-price 50 -p 200 "winter boots"

# Gendered search
search.sh -g female -p 200 "winter jacket"

# Condition filter
search.sh -c used "macbook pro"

# Kids products
search.sh -a kids -p 50 "sneakers"

# Only in-stock products
search.sh --availability "InStock" "yoga mat"

# Image-based visual similarity search
search.sh -i "https://example.com/dress.jpg"

# Combined text + image search
search.sh -i "https://example.com/jacket.jpg" "similar but in blue"

# Keyword-only (exact match, no semantic search)
search.sh --keyword-only "Nike Air Max 90"

# Paginate for more results
search.sh --next "tok_abc123..." "running shoes"

Output Format

The script outputs structured text, not raw JSON. Each product includes its ID, brands, and all merchant offers with prices and buy links:

Found 5 products (next_page: tok_abc123)

1. Nike Air Zoom Pegasus 41
   ID: prod_abc123
   Brands: Nike
   Offers:
     - nordstrom.com: $89.99 (InStock) https://buy.trychannel3.com/...
     - nike.com: $94.99 (InStock) https://buy.trychannel3.com/...

2. Adidas Ultraboost Light
   ID: prod_def456
   Brands: Adidas
   Offers:
     - adidas.com: $97.00 (InStock) https://buy.trychannel3.com/...

If no results are found, the output is: No products found.

If the API key is missing or invalid, the script prints instructions on how to get one.

Workflow Patterns

Find products

User asks "find me running shoes under $100":

  1. Run: search.sh -p 100 "running shoes"
  2. Present the results as a clean numbered list with product name, price, merchant, and buy link.

Compare products

User asks "compare AirPods Pro vs Sony WF-1000XM5":

  1. Run two searches: search.sh -n 3 "AirPods Pro" and search.sh -n 3 "Sony WF-1000XM5"
  2. Build a markdown comparison table with columns for product, price, merchants, and availability.

Best option under a budget

User asks "what's the best laptop under $800":

  1. Run: search.sh -p 800 -n 10 "laptop"
  2. Review the results and recommend the top picks, explaining why based on the product details.

Image-based search

User shares an image URL and says "find me something like this":

  1. Run: search.sh -i "IMAGE_URL"
  2. Present visually similar products with prices and links.

Get more results

If the user wants more results after an initial search:

  1. Copy the next_page token from the previous output.
  2. Run: search.sh --next "TOKEN" "original query"
  3. Present the additional results.

How to Present Results to the User

  • Synthesize the script output into a clean response. Do NOT paste the raw script output.
  • Present products as a numbered list or markdown table — whichever fits the question better.
  • Always include: product name, price, merchant name, and the buy link URL.
  • For comparisons, use a markdown table with columns like Product, Price, Merchant, and Link.
  • If multiple merchants sell the same product at different prices, highlight the cheapest option.
  • Keep it concise — the user wants recommendations, not a data dump.

About This Skill

This skill queries the Channel3 product catalog API (api.trychannel3.com). Search queries and any image URLs you provide are sent to this third-party API. Product buy links point to buy.trychannel3.com, which redirects to merchant sites with affiliate tracking. Avoid sending sensitive or private information in search queries.