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yao-agent-development

Automate Yao AI agent development with hooks, tools, models, and prompts.

1|4|Updated Nov 17, 2022
Search Tags:#hooks#localization#mcp#prompts#tools#yao-agent-development#yao-framework
One-click install
npx skills add https://github.com/YaoApp/yao-init --skill yao-agent-development
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: yao-agent-development
Source: https://github.com/YaoApp/yao-init/tree/main/.cursor/skills/yao-agent-development
Command: npx skills add https://github.com/YaoApp/yao-init --skill yao-agent-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Guides developers to build AI Agents using Yao by framing the essential building blocks (assistants, hooks, tools, MCPs, models, prompts, i18n, and context) into a coherent, reusable workflow.

Core Features & Use Cases

  • Provides a full blueprint for constructing AI agents with Create/Next hooks, MCP tool integrations, database models, prompts, and localization.
  • Supports agent-to-agent communication (A2A), a Context API, and a pluggable tool/memory model.
  • Demonstrates testing patterns, multi-agent workflows, and production-ready patterns.

Quick Start

Create and configure a new Yao-based agent by following the directory structure and configuration described in the guide and then deploy to a test environment.

Frequently Asked Questions about yao-agent-development

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

FAQPage Schema
How do I build an AI agent with hooks and MCP tools?▼

Building an AI agent with hooks and MCP tools involves organizing Create/Next hooks, MCP tool integrations, database models, and prompts into a standardized project layout. This workflow frames essential building blocks into a coherent, reusable configuration.

What is the best way to structure a multi-agent workflow with context API?▼

Structuring a multi-agent workflow with context API requires a standardized project layout that supports agent-to-agent communication (A2A) and a pluggable memory model. This configuration defines patterns for memory, prompts, and tests across various assistants.

Does Yao framework support agent-to-agent communication and localization?▼

Yes, the Yao framework supports agent-to-agent communication (A2A), a Context API, and localization (i18n). It provides a full blueprint for constructing AI agents that includes multi-agent workflows and internationalization support.

How do I configure MCP tool integrations and prompts for an AI assistant?▼

Configuring MCP tool integrations and prompts involves defining a detailed package-like configuration within a standardized project layout. This setup pluggably integrates tools, memory models, and prompt patterns across various AI assistants.

What testing patterns should I use when developing AI agents with hooks?▼

Testing patterns for AI agents with hooks are defined within a standardized project layout that includes a SKILL.md entry point and optional scripts. This configuration demonstrates production-ready patterns for validating multi-agent workflows.

Do I need a specific project layout to implement Create and Next hooks?▼

Yes, implementing Create and Next hooks requires a standardized project layout with SKILL.md as the entry point. This structure enforces a detailed package-like configuration to support hooks, memory, and MCP integrations.

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