Agent-to-Agent commerce platform
Scanned 9/10/2026
Install to Claude Code
npx -y skills add luokai0/ai-agent-skills-by-luo-kai --skill agent-commerce --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Agent Commerce?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/luokai0-agent-commerce)More formats (shields.io, HTML) on the badges page.
---
name: agent-commerce
description: "Agent-to-Agent commerce platform"
metadata:
{ "openclaw": { "emoji": "🛒", "version": "0.1.0", "author": "hanxueyuan", "tags": ["shopping","agent-commerce","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
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.
A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling