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This commit is contained in:
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# Class-Based Agent Skills
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This sample demonstrates how to define **Agent Skills as Python classes** using `ClassSkill`.
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## What's Demonstrated
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- Creating skills as classes that extend `ClassSkill`
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- Bundling name, description, instructions, resources, and scripts into a single class
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- Using `@ClassSkill.resource` decorator for automatic resource discovery
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- Using `@ClassSkill.script` decorator for automatic script discovery
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- Lazy-loading and caching of resources and scripts
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- Registering class-based skills with `SkillsProvider`
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## Skills Included
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### unit-converter (class-based)
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A `UnitConverterSkill` class that converts between common units. Defined in `class_based_skill.py`:
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- `conversion-table` — Static resource with factor table
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- `convert` — Script that performs `value × factor` conversion
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## Project Structure
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```
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class_based_skill/
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├── class_based_skill.py
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└── README.md
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```
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## Running the Sample
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### Prerequisites
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- An [Azure AI Foundry](https://ai.azure.com/) project with a deployed model (e.g. `gpt-4o-mini`)
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### Environment Variables
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Set the required environment variables in a `.env` file (see `python/.env.example`):
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- `FOUNDRY_PROJECT_ENDPOINT`: Your Azure AI Foundry project endpoint
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- `FOUNDRY_MODEL`: The name of your model deployment (defaults to `gpt-4o-mini`)
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### Authentication
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This sample uses `AzureCliCredential` for authentication. Run `az login` in your terminal before running the sample.
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### Run
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```bash
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cd python
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uv run samples/02-agents/skills/class_based_skill/class_based_skill.py
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```
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### Expected Output
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```
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Converting units with class-based skills
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------------------------------------------------------------
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Agent: Here are your conversions:
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1. **26.2 miles → 42.16 km** (a marathon distance)
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2. **75 kg → 165.35 lbs**
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```
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## Learn More
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- [Agent Skills Specification](https://agentskills.io/)
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- [Code-Defined Skills Sample](../code_defined_skill/)
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- [Mixed Skills Sample](../mixed_skills/)
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- [Microsoft Agent Framework Documentation](../../../../../docs/)
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