ak-init

Scaffold Agent Kernel projects with configuration files and agent definition code.

113|60|Updated Jul 18, 2025
One-click install
npx skills add https://github.com/yaalalabs/agent-kernel --skill ak-init
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ak-init
Source: https://github.com/yaalalabs/agent-kernel/tree/main/ak-py/src/agentkernel/skills/ak-init
Command: npx skills add https://github.com/yaalalabs/agent-kernel --skill ak-init

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of new Agent Kernel projects, guiding users through framework selection, tool definition, and deployment choices to generate a complete, ready-to-run project structure.

Core Features & Use Cases

  • Project Scaffolding: Generates a full project directory with essential files like pyproject.toml, config.yaml, and main agent definition files.
  • Framework Agnostic: Supports scaffolding for OpenAI Agents SDK, CrewAI, LangGraph, and Google ADK.
  • Deployment Options: Facilitates setup for CLI, REST API, and cloud deployments (AWS Lambda, Azure Functions).
  • Use Case: A developer wants to quickly start a new AI agent project using the OpenAI Agents SDK and deploy it as a REST API. This skill will generate all the necessary boilerplate code and configuration files.

Quick Start

Use the ak-init skill to scaffold a new Agent Kernel project for OpenAI Agents SDK with CLI mode.

Frequently Asked Questions about ak-init

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

FAQPage Schema
How do I scaffold an AI agent project with OpenAI Agents SDK?

To scaffold an AI agent project with OpenAI Agents SDK, use this tool to generate a complete directory structure, configuration files, and agent definition code automatically. It creates pyproject.toml, config.yaml, and main files for rapid initialization.

What is the best way to generate boilerplate code for CrewAI or LangGraph?

Generating boilerplate code for CrewAI or LangGraph is best handled by framework-agnostic scaffolding tools that output a ready-to-run project structure. This skill supports multiple agent frameworks and creates essential configuration files automatically.

Can I set up AI agent deployments for AWS Lambda or Azure Functions?

Yes, you can set up AI agent deployments for AWS Lambda or Azure Functions. This scaffolding tool provides specific deployment options for cloud platforms alongside standard CLI and REST API configurations during project generation.

Does this project generation tool support Google ADK?

Yes, this project generation tool supports Google ADK. It facilitates framework selection during initialization, allowing you to scaffold new agent projects using Google ADK alongside OpenAI Agents SDK, CrewAI, and LangGraph.

What files are included when scaffolding a new Python AI agent project?

When scaffolding a new Python AI agent project, the tool generates essential files including pyproject.toml for dependencies, config.yaml for settings, and main agent definition files to provide a ready-to-run structure.