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# Class-Based Agent Skills
This sample demonstrates how to define **Agent Skills as Python classes** using `ClassSkill`.
## What's Demonstrated
- Creating skills as classes that extend `ClassSkill`
- Bundling name, description, instructions, resources, and scripts into a single class
- Using `@ClassSkill.resource` decorator for automatic resource discovery
- Using `@ClassSkill.script` decorator for automatic script discovery
- Lazy-loading and caching of resources and scripts
- Registering class-based skills with `SkillsProvider`
## Skills Included
### unit-converter (class-based)
A `UnitConverterSkill` class that converts between common units. Defined in `class_based_skill.py`:
- `conversion-table` — Static resource with factor table
- `convert` — Script that performs `value × factor` conversion
## Project Structure
```
class_based_skill/
├── class_based_skill.py
└── README.md
```
## Running the Sample
### Prerequisites
- An [Azure AI Foundry](https://ai.azure.com/) 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
- `FOUNDRY_MODEL`: 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
```bash
cd python
uv run samples/02-agents/skills/class_based_skill/class_based_skill.py
```
### Expected Output
```
Converting units with class-based skills
------------------------------------------------------------
Agent: Here are your conversions:
1. **26.2 miles → 42.16 km** (a marathon distance)
2. **75 kg → 165.35 lbs**
```
## Learn More
- [Agent Skills Specification](https://agentskills.io/)
- [Code-Defined Skills Sample](../code_defined_skill/)
- [Mixed Skills Sample](../mixed_skills/)
- [Microsoft Agent Framework Documentation](../../../../../docs/)