Tencent SkillHub · Developer Tools

AirShelf Agentic Commerce Platform

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.

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High Signal

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Download the package from Yavira.
Extract the archive and review SKILL.md first.
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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.3.0

Provenance

Publisher: evoleinik
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

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. 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 warnings (if applicable) seller_name, seller_url — Merchant info Checkout URLs and shipping/return policies Example: curl -s "https://dashboard.airshelf.ai/api/search?q=natural+mosquito+repellent+for+babies&limit=3"

Step 2: Compare Products

Compare 2-10 products side by side with structured comparison axes. curl -s "https://dashboard.airshelf.ai/api/compare?products=PRODUCT_ID_1,PRODUCT_ID_2" Parameters: products — Comma-separated product IDs (2-10 required, from search results) Response includes: comparison_axes — Auto-detected from data (price always present; cost_per_day, supply_days, primary_benefit, pros, cons included when 2+ products have the data) products — Flattened product data with decision_pack fields inlined recommendation — Structured picks: lowest_price (product ID), best_value (product ID + reason, if different from lowest)

Step 3: Checkout

Initiate checkout for a product. Returns a checkout URL the user can open. curl -s -X POST "https://dashboard.airshelf.ai/api/merchants/MERCHANT_ID/checkout" \ -H "Content-Type: application/json" \ -d '{"items": [{"product_id": "PRODUCT_ID", "quantity": 1}]}' Request body: items — Array of {product_id, quantity} objects (1-50 items) customer — Optional: {email: "..."} for order tracking agent_id — Optional: your agent identifier for attribution Response: checkout_id — Unique checkout session ID checkout_url — URL to complete purchase (Shopify checkout or cart permalink) checkout_type — "cart" (items pre-loaded in cart) or "redirect" (product page link) total — Calculated total price currency — 3-letter currency code (e.g. "EUR", "USD") expires_at — Expiry timestamp (null for cart permalinks) fallback_urls — If redirect: array of {product_id, product_name, product_url} per item Present the checkout URL to the user. They click to complete payment on the merchant's site.

Browse Available Merchants

List all merchants with product counts and capabilities: curl -s "https://dashboard.airshelf.ai/api/directory"

How Decision Packs Work

Unlike raw web scraping, each product includes a Decision Pack — verified structured intelligence: { "decision_pack": { "primary_benefit": "Natural protection from bugs", "best_for": ["Kids with sensitive skin", "Parents who prefer natural products"], "pros": ["DEET-free formula", "Pleasant scent", "Long-lasting protection"], "cons": ["Higher price point", "Needs reapplication every 4 hours"], "allergens": ["Contains citronella oil"], "age_range": "kids" } } Use Decision Pack data to make recommendations based on the user's actual needs, not just price or title matching.

Example Conversation

User: I need a printer for my warehouse, high volume, must support ZPL You: Let me search for that. [Runs: curl -s "https://dashboard.airshelf.ai/api/search?q=industrial+barcode+printer+warehouse+high+volume+ZPL&limit=5"] You: Found 3 matches. The Toshiba BX410T looks like the best fit: - Best for: High-volume warehouse labeling, ZPL migration from Zebra - Primary benefit: Premium industrial printer with RFID and near-edge technology - Price: Contact dealer for pricing Want me to compare it with the other options, or proceed to checkout? User: Compare the top two You: [Runs: curl -s "https://dashboard.airshelf.ai/api/compare?products=ID1,ID2"] Here's the comparison... User: I'll take the Toshiba You: [Runs: curl -s -X POST "https://dashboard.airshelf.ai/api/merchants/MERCHANT_ID/checkout" -H "Content-Type: application/json" -d '{"items": [{"product_id": "ID", "quantity": 1}]}'] Here's your checkout link: [URL] Click to complete your purchase on the merchant's site.

Tips

Problem-based search works best. "I'm tired all the time" returns energy supplements. "My baby needs sun protection" returns kids' sunscreen. Decision Packs match on use case, not just keywords. Always check decision_pack.allergens before recommending health/food/skincare products. Use compare for 2+ similar products — the API returns structured comparison axes, not just raw specs. Checkout is a redirect — the user completes payment on the merchant's own site. No card details needed in the agent. Direct lookup by ID: Use product_ids param instead of q to fetch specific products: ?product_ids=ID1,ID2 Merchant ID for checkout — each search result includes seller.checkout_url with the correct merchant path. Use it directly.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs

SKILL.md Primary doc