python-agent-creator

Create structured Python agents with tools, templates, and guardrails using openai-agents.

Updated Jan 15, 2026

Search Tags:#templates #python #agent #tools #guardrails #openai-agents

Ready to run

npx skills add https://github.com/SalmanO7/Todo_Full-Stack --skill python-agent-creator-salmano7

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-agent-creator
Source: https://github.com/SalmanO7/Todo_Full-Stack/tree/main/.claude/skills/python-agent-creator
Command: npx skills add https://github.com/SalmanO7/Todo_Full-Stack --skill python-agent-creator-salmano7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers create well-structured Python agents using the openai-agents package, following best practices for agent design and configuration.

Core Features & Use Cases

Generate complete agent definitions with proper configuration using the openai-agents package.
Create decorated function tools with @function_tool and provide descriptive docstrings.
Define system instructions, model choices, and handoff configurations to support multi-agent workflows.
Include guardrails and testing templates to ensure safe, robust agent behavior.

Quick Start

Generate a Python agent using the openai-agents package with a defined name, model, tools, and instructions.

Frequently Asked Questions about python-agent-creator

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

FAQPage Schema

How do I create a Python agent with tools and guardrails using the openai-agents package?▼

To create a Python agent with the openai-agents package, you need to define the agent's name, model, tools, and system instructions. You can include guardrails and testing templates to ensure safe, robust agent behavior in production environments.

What is the best way to structure a multi-agent workflow in Python?▼

The best way to structure a multi-agent workflow is to define system instructions, model choices, and handoff configurations. This approach supports complex workflows by allowing agents to transfer tasks based on their specific tools and templates.

How do I add custom tools to an OpenAI agent in Python?▼

You add custom tools to an OpenAI agent by creating decorated function tools using the @function_tool decorator. Provide descriptive docstrings for each tool to ensure the agent understands how and when to use them during execution.

Does the openai-agents package support guardrails for safe agent behavior?▼

Yes, the openai-agents package supports guardrails for safe agent behavior. You can include guardrails and testing templates within the agent definition to ensure robust execution and prevent unsafe or unexpected outputs.

Can I configure model choices and handoffs for Python agents?▼

Yes, you can configure model choices and handoff configurations for Python agents. Defining these elements allows you to support multi-agent workflows where tasks are transferred between agents based on their specific capabilities.

When do I need to use templates for Python agent creation?▼

You need to use templates for Python agent creation when building production-ready software engineering tasks. Best-practice templates ensure your configurable agents have proper structure, including system instructions, tools, and guardrails.