dvcrn 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_KEYenvironment variable. Get a free key at trychannel3.com. - Dependencies:
curlandjqmust 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":
- Run:
search.sh -p 100 "running shoes" - 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":
- Run two searches:
search.sh -n 3 "AirPods Pro"andsearch.sh -n 3 "Sony WF-1000XM5" - 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":
- Run:
search.sh -p 800 -n 10 "laptop" - 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":
- Run:
search.sh -i "IMAGE_URL" - Present visually similar products with prices and links.
Get more results
If the user wants more results after an initial search:
- Copy the
next_pagetoken from the previous output. - Run:
search.sh --next "TOKEN" "original query" - 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.
- API docs: docs.trychannel3.com
- Source: github.com/channel3-ai/skills
- Provider: Channel3 (trychannel3.com)