agent-framework/python/samples/02-agents/skills/code_defined_skill/README.md

Code-Defined Agent Skills

This sample demonstrates how to create Agent Skills in Python code, without needing SKILL.md files on disk. A unit-converter skill shows three approaches:

What's Demonstrated

1. Static Resources — Pass inline content via the resources parameter when constructing a Skill
2. Dynamic Resources — Attach callable functions via the @skill.resource decorator that return content computed at runtime
3. Dynamic Scripts — Attach callable scripts via the @skill.script decorator (unit conversion via a single factor parameter)

All three can be combined with file-based skills in a single SkillsProvider.

Project Structure

code_defined_skill/
├── code_defined_skill.py
└── README.md

Running the Sample

Prerequisites

• An Azure AI Foundry project with a deployed model (e.g. gpt-4o-mini)

Environment Variables

Set the required environment variables in a .env file (see python/.env.example):

• FOUNDRY_PROJECT_ENDPOINT: Your Azure AI Foundry project endpoint
• AZURE_OPENAI_DEPLOYMENT_NAME: The name of your model deployment (defaults to gpt-4o-mini)

Authentication

This sample uses AzureCliCredential for authentication. Run az login in your terminal before running the sample.

Run

cd python
uv run samples/02-agents/skills/code_defined_skill/code_defined_skill.py

Learn More

• Agent Skills Specification
• File-Based Skills Sample
• Mixed Skills Sample
• Microsoft Agent Framework Documentation