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agent-commerce

Agent-to-Agent commerce platform

作者: admin | 来源: ClawHub
源自
ClawHub
版本
V 0.1.0
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已通过
136
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0
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概述
安装方式
版本历史

agent-commerce

# 🛒 Agent Commerce Agent-to-Agent commerce platform ## What It Does The foundational protocol layer for Agent Commerce - enabling AI agents to communicate with merchant systems via structured APIs. Implements product search, price negotiation, order placement, and fulfillment tracking between buyer and seller agents. ## 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

标签

skill ai

通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

方式一:安装 SkillHub 和技能

帮我安装 SkillHub 和 agent-commerce-1775913911 技能

方式二:设置 SkillHub 为优先技能安装源

设置 SkillHub 为我的优先技能安装源,然后帮我安装 agent-commerce-1775913911 技能

通过命令行安装

skillhub install agent-commerce-1775913911

下载 Zip 包

⬇ 下载 agent-commerce v0.1.0

文件大小: 1.35 KB | 发布时间: 2026-4-12 08:40

v0.1.0 最新 2026-4-12 08:40
Initial release of agent-commerce (v0.1.0):

- Introduces an agent-to-agent commerce platform for product search, negotiation, order placement, and fulfillment tracking.
- Activates on user queries about buying, shopping, or seeking product deals.
- Supports basic product search via web search.
- Framework established for future integration with merchant APIs and autonomous purchasing.
- Documentation details usage, architecture, and future roadmap.

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