🤖 build-your-own-agents-skill - Build AI agents with clear steps

🚀 Overview

build-your-own-agents-skill helps you learn how AI agents work and gives you a ready path to run one on your Windows PC. It uses the same pattern as Claude Code: a skill file, six examples, and runnable Python code. You can use it to study agent setup, test prompt flow, and run simple agent tasks without a framework.

This project fits people who want to:

• build AI agents from plain Python
• see how agent skills guide behavior
• copy a simple agent layout for other projects
• learn by reading real examples
• run code on a Windows machine

📥 Download

Use this link to visit the GitHub page and get the project files:

Open the GitHub download page

If you use the main repository page, click the green Code button, then choose Download ZIP. After that, unzip the folder on your Windows PC.

🪟 Windows Setup

You only need a few basic tools on Windows.

What you need

• Windows 10 or Windows 11
• A web browser
• Python 3.10 or newer
• Internet access for the first setup
• A folder with enough space for the files

Install Python

1. Go to the Python website.
2. Download the latest Windows version.
3. Run the installer.
4. Check the box that says Add Python to PATH.
5. Finish the install.

Check that Python works

1. Open Start.

2. Type cmd.

3. Press Enter.

4. Type:

   python --version

5. Press Enter.

If you see a version number, Python is ready.

📂 Get the Project Files

1. Open the GitHub page linked above.
2. Click Code.
3. Click Download ZIP.
4. Save the file to your computer.
5. Right-click the ZIP file.
6. Choose Extract All.
7. Pick a folder you can find later.

After you unzip it, you should see the project folder with Python files, examples, and skill content.

▶️ Run the Project

1. Open the extracted folder.

2. Look for a file named main.py, run.py, or another Python file in the root folder.

3. Open Command Prompt in that folder.

4. Type:

   python main.py

   or

   python run.py

5. Press Enter.

If the project asks for input, type your prompt and press Enter.

🧩 What You Get

This repository is built around a simple agent pattern. It gives you:

• a skill that defines how the agent should work
• six example cases that show how the agent behaves
• runnable Python code you can inspect and edit
• a structure that follows the same style used by Claude Code
• no framework, so the code stays easy to read

Main parts

• Skill: the rules and steps the agent uses
• Examples: sample tasks that show expected output
• Python code: the code that runs the agent
• Prompt flow: the path from user input to agent action

🧠 How It Works

The project keeps the agent design simple.

1. The user gives a task.
2. The skill file guides the agent.
3. The Python code reads the task.
4. The agent picks a response path.
5. The examples show what good output looks like.

This setup helps you learn how agents use instructions, examples, and code together.

🛠️ Basic Use

Try these steps after you run the project:

1. Open the main script.
2. Read the skill file.
3. Compare the skill with the six examples.
4. Change one prompt.
5. Run the code again.
6. See how the output changes.

Good first tests

• ask the agent to explain a simple task
• ask it to break work into steps
• ask it to follow a short rule set
• ask it to rewrite text in a clear style

📚 Example Uses

You can use this project as a base for:

• an AI helper for coding tasks
• a prompt engine for internal tools
• a small agent for task planning
• a learning tool for prompt engineering
• a sample project for developer tools
• a starting point for agent skills

⚙️ File Layout

A typical layout for this kind of project looks like this:

• README.md — project guide
• skill.md or similar — the agent skill rules
• examples/ — example cases
• src/ or root Python files — runnable code
• requirements.txt — Python package list, if used

If the folder names differ, look for the files that match these roles.

🧪 Troubleshooting

Python does not start

• Check that Python is installed
• Run python --version in Command Prompt
• If that fails, install Python again and add it to PATH

The ZIP file does not open

• Download it again from the GitHub page
• Make sure the file finished downloading
• Try a different unzip tool if needed

The script stops with an error

• Open the file that caused the issue
• Look for a missing package name
• If there is a requirements.txt file, install the listed packages with pip
• Make sure you run the script from the project folder

Command Prompt says the file is missing

• Check the file name
• Make sure you are in the correct folder
• Use dir to list the files in the folder

🔍 Topics

agent, agent-skills, agentic-ai, ai-agents, claude-code, codex, cursor, developer, developer-tools, prompt-engineering

📌 Use Cases for Non-Technical Users

If you are not a programmer, you can still use this project to:

• understand how AI agents follow rules
• test how a prompt changes results
• compare example outputs
• learn the basic shape of an agent project
• run a Python script with simple steps

💡 Tips for Windows

• Keep the project in a folder with a short path, like C:\AI\build-your-own-agents-skill
• Do not move files after you start testing
• Use Notepad if you want to inspect text files
• Use Command Prompt if the README says to run Python from the terminal
• If you see a security prompt, check the file source before you open it

🧭 First Things to Try

1. Open the skill file.
2. Read the six examples.
3. Run the Python file.
4. Change one example prompt.
5. Run it again.
6. Compare the result.

🗂️ Download Again

If you need the project files again, use this link:

Visit the GitHub repository