add-wish for Openclaw

A universal product-saving skill that converts any retailer URL into a one-click wishlist link for AI agents.

leebellon
v1.1.0
Feb 20, 2026
0
1.7k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install add-wish

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 add-wish 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 add-wish?

The add-wish skill is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between product discovery and purchase. It allows AI coding agents and shopping assistants to transform any standard product URL into a visual, universal wishlist item. By prepending a simple URL pattern, developers can provide users with a persistent place to store gift ideas, price-tracked items, or future purchases without needing complex merchant-specific APIs or cart infrastructure.

This skill is built to handle the heavy lifting of metadata extraction. When a user saves a product through this Openclaw Skills integration, Wishfinity automatically scrapes the product title, high-quality images, and the latest pricing. This ensures the wishlist remains rich and visual, providing much higher utility than a simple list of bookmarks. It is an essential component for building sophisticated conversational commerce experiences.

add-wish Use Cases

  • Shopping agents that need to save recommendations for users to review later.
  • Gift-matching assistants creating shareable registries for birthdays or holidays.
  • Price comparison bots that allow users to bookmark the best deals found during a search.
  • AI-powered personal stylists managing a curated list of fashion items from various retailers.
  • Research agents that find and organize physical products based on user queries.

How add-wish Works

  1. The AI agent identifies a product URL the user expresses interest in or asks to save.
  2. The skill generates a specific link by prepending the Wishfinity save URL to the product link.
  3. The agent presents a clickable button or link to the user using the generated Openclaw Skills format.
  4. When the user clicks the link, Wishfinity extracts the product metadata (title, price, image) and saves it to the user's universal wishlist.

add-wish Setup

To get started with add-wish in your Openclaw Skills environment, you can use the direct URL pattern or install the official MCP package for programmatic access:

npm install wishfinity-mcp-plusw

No complex API keys are required for basic URL generation; simply format your links as follows: https://wishfinity.com/add?url={product_url}

add-wish Data Schema & Taxonomy

The add-wish skill organizes data efficiently to provide a high-quality user experience. The following attributes are automatically captured and enriched:

Attribute Source Description
Product Title Automated Scraping The specific name of the item from the retailer site.
Image Metadata Automated Scraping High-resolution product image for visual wishlist rendering.
Current Price Real-time Check The latest price listed at the time of saving or viewing.
Source URL Provided Input The original merchant link for easy purchase later.
Demand Signal Metadata Analytics data indicating purchase intent for the Openclaw Skills ecosystem.

add-wish Advanced Features

  • Multi-retailer support allowing users to mix items from Amazon, Walmart, and small boutiques in one list.
  • Automated metadata enrichment that replaces raw links with rich visual cards.
  • Viral sharing capabilities that let users send wishlists to friends and family for gifting.
  • Support for the Wish Economy, turning discovered products into trackable conversion events.
  • Seamless integration with MCP (Model Context Protocol) for advanced Openclaw Skills workflows.

SKILL.md


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