airshelf
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.
Why use this skill?
Integrate AirShelf into OpenClaw for instant, verified product search and comparison. Get structured Decision Packs, pricing, and pro/con data without CAPTCHAs.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/evoleinik/airshelfWhat This Skill Does
AirShelf acts as an intelligent commerce bridge for OpenClaw agents, providing direct access to verified product data across a network of nearly 1,000 products from trusted merchants. Unlike standard web scrapers that struggle with anti-bot measures, dynamic content, and inconsistent HTML structures, AirShelf returns structured Decision Pack data. This means your agent receives normalized metadata including pros, cons, allergens, and specific use-case recommendations without the need for authentication, CAPTCHA solving, or complex scraping logic. It effectively transforms raw product information into actionable, comparative insights.
Installation
You can install this skill directly via the OpenClaw command-line interface. Run the following command in your terminal to integrate AirShelf into your environment:
clawhub install openclaw/skills/skills/evoleinik/airshelf
Once installed, the agent will automatically recognize the available endpoints hosted at https://dashboard.airshelf.ai, allowing for immediate product queries without requiring further API key configuration.
Use Cases
- Personalized Recommendations: Ideal for users looking for solutions to specific problems, such as finding skincare for sensitive types or identifying eco-friendly household goods.
- Complex Shopping Research: Perfect for comparing technical specifications or feature sets of competing products before a purchase decision.
- Intent-Driven Procurement: Excellent for users who need to find products filtered by price, category, or stock availability using natural language.
- Data-Backed Purchasing: Allows agents to present the user with verified trade-offs, ensuring a more informed shopping experience.
Example Prompts
- "I'm looking for a high-performance mechanical keyboard under $150 that is quiet enough for an office environment. Can you find me the best options and compare them?"
- "My skin has been very dry lately; search for some hypoallergenic moisturizers and tell me which one is best for sensitive skin based on the pros and cons."
- "Compare these two protein powders and tell me which one has better value for money, considering the cost per serving."
Tips & Limitations
- Leverage Intent Parsing: Use natural language queries; the engine is optimized to extract price filters (e.g., 'under $50') and intent automatically.
- Limit Results: For optimal performance and concise agent output, keep your
limitparameter between 3 and 5 unless you are conducting a broad category search. - Comparison Limits: The
compareendpoint supports between 2 and 10 items. Ensure you use specific product IDs gathered from the search endpoint for the most accurate side-by-side comparison axes. - Network Dependency: While the skill is robust, it relies on the availability of the
dashboard.airshelf.aiAPI. Ensure your environment has outgoing network access to this domain.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-evoleinik-airshelf": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api