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aixyz

Scaffold, configure, and deploy AI agents with the aixyz framework.

72|2|Updated Feb 24, 2026
Search Tags:#tool integration#deployment#ai agent#framework#micropayments#aixyz
One-click install
npx skills add https://github.com/AgentlyHQ/use-agently --skill aixyz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aixyz
Source: https://github.com/AgentlyHQ/use-agently/tree/main/.agents/skills/aixyz
Command: npx skills add https://github.com/AgentlyHQ/use-agently --skill aixyz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the entire lifecycle of creating, configuring, and deploying AI agents, abstracting away complex framework details.

Core Features & Use Cases

  • Agent Scaffolding: Quickly generate new AI agent projects with a standard structure.
  • Tool Integration: Easily add and configure tools for agents to use.
  • Protocol Configuration: Set up A2A and MCP communication endpoints.
  • Micropayment Setup: Configure x402 micropayments for agent services.
  • Deployment: Streamline deployment to platforms like Vercel.
  • Use Case: You need to build a new AI agent that can process user requests, interact with a weather API, and accept small payments for its service. This Skill provides the tools to scaffold the project, define the API integration, set up payment handling, and deploy it.

Quick Start

Use the aixyz skill to scaffold a new AI agent project named 'my-awesome-agent'.

Frequently Asked Questions about aixyz

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to scaffold a new AI agent project for Vercel deployment?▼

Scaffolding an AI agent project generates a standard codebase structure pre-configured for Vercel deployment. This approach handles Vercel AI SDK provider integration and abstracts framework complexities.

How do I configure A2A and MCP communication protocols for an AI agent?▼

Configuring A2A and MCP protocols involves defining communication endpoints within the AI agent framework. This setup enables proper message routing and tool integration interactions for the deployed agent.

Can I integrate external tools and set up x402 micropayments for AI agents?▼

You can integrate external tools and configure x402 micropayments for AI agents using this framework. It supports adding specific tool configurations and enables payment handling for agent services.

Does the aixyz framework support deployment to platforms other than Vercel?▼

The aixyz framework explicitly streamlines deployment to Vercel and integrates with Vercel AI SDK providers. Metadata does not confirm support for deployment to other specific platforms.

How do I add a weather API tool to my AI agent?▼

Adding a weather API tool involves using the tool integration feature during agent configuration. This enables the agent to process user requests and interact with external data sources.

What do I need to deploy an AI agent that processes user requests and accepts payments?▼

Deploying an AI agent that accepts payments requires a framework supporting scaffolding, tool integration, and x402 micropayment configuration. This provides the tools to define integrations, handle payments, and deploy.

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