agent-shopping
/install agent-shopping
🛒 Agent Shopping
Agent-powered smart shopping assistant
What It Does
Search products, compare prices, and purchase items through AI agent conversations. Supports natural language queries like 'find me a USB-C cable under $10' and returns structured product recommendations with buy links.
Usage
When the user mentions buying, purchasing, shopping, or looking for product deals, this skill activates to help find the best options.
Example Prompts
- "Find me the best deal on [product]"
- "Compare prices for [product] across platforms"
- "Is there a coupon for [product]?"
- "Help me buy [product] under [budget]"
Configuration
Set up API credentials in environment variables as needed for each supported platform.
Architecture
User Request → Intent Parser → Product Search API → Result Ranker → Recommendation Display
Roadmap
- v0.1: Basic product search via web search
- v0.2: Platform API integration
- v0.3: Price tracking and alerts
- v1.0: Full autonomous purchasing flow
Author
Created by hanxueyuan as part of the Agent Commerce initiative. License: MIT
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install agent-shopping - After installation, invoke the skill by name or use
/agent-shopping - Provide required inputs per the skill's parameter spec and get structured output
What is agent-shopping?
Agent-powered smart shopping assistant. It is an AI Agent Skill for Claude Code / OpenClaw, with 133 downloads so far.
How do I install agent-shopping?
Run "/install agent-shopping" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is agent-shopping free?
Yes, agent-shopping is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does agent-shopping support?
agent-shopping is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created agent-shopping?
It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v0.1.0.