Forage Shopping for Openclaw

An AI-driven product search and price comparison tool that helps users find the best merchant deals through natural language queries.

jalexspringer
v1.0.0
Feb 22, 2026
1
1.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install forage-shopping

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install forage-shopping using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Forage Shopping?

Forage Shopping is a specialized MCP server integration that transforms your AI agent into a sophisticated personal shopping assistant. As a key addition to the library of Openclaw Skills, it enables users to search for products, compare costs across multiple retailers, and discover high-value deals without manual browsing. The skill connects directly to a remote server, providing real-time merchant data and curated recommendations for everything from high-end electronics to everyday household goods.

By integrating this skill, developers and users can streamline their purchasing workflows within their AI environment. The underlying logic focuses on delivering high-value suggestions by considering price, merchant reliability, and product relevance, making it an essential tool for automated procurement or personal bargain hunting.

Forage Shopping Use Cases

  • Searching for niche products using natural language queries like "mechanical keyboards under £150".
  • Comparing live prices for specific electronics models across multiple global retailers to ensure the lowest cost.
  • Identifying the best seasonal deals within specific categories like coffee machines or smart home gear.
  • Researching product availability and merchant options for corporate inventory or gift shopping.

How Forage Shopping Works

  1. The user provides a shopping-related prompt or product inquiry to the AI agent.
  2. The skill invokes the search_products tool to gather a broad list of matching items from the Forage merchant database.
  3. If a specific product is targeted, the agent uses the compare_prices tool to fetch a list of all available retailers and their current pricing.
  4. The find_deals function can be used to filter results based on specific category and budget constraints provided by the user.
  5. The agent synthesizes the gathered data into a clean comparison report with direct links for the user to finalize the purchase.

Forage Shopping Setup

To install this skill, update your openclaw.json configuration file with the Forage Shopping server details. No API key is required as the connection is handled via the remote URL.

# No local installation required. Simply update your configuration file.
{
  "mcpServers": {
    "forage-shopping": {
      "url": "https://forageshopping.com/mcp"
    }
  }
}

Forage Shopping Data Schema & Taxonomy

The skill processes and returns product data in a structured format to ensure clarity across different Openclaw Skills implementations.

Property Type Description
product_name String The official title of the item as listed by the merchant.
price String The current listed price including currency symbols.
merchant String The name of the retailer where the product is located.
link URL The direct destination for the product listing page.
metadata Object Includes delivery estimates or return policy information when available.

Forage Shopping Advanced Features

  • Multi-merchant price aggregation for real-time market transparency and competitive analysis.
  • Natural language budget filtering to automatically find products within specific financial ranges.
  • Value-based heuristic engine that prioritizes reputable merchants and clear return policies over just the lowest price.
  • Zero-config remote execution, removing the need for local API key management or complex environment variables.

SKILL.md


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