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# Mixed Skills — Code, Class, and File Skills
This sample demonstrates how to combine **code-defined skills**,
**class-based skills**, and **file-based skills** in a single agent using
`SkillsProvider`.
## Concepts
| Concept | Description |
|---------|-------------|
| **Code skill** | A `Skill` created in Python with `@skill.script` decorators for in-process callable functions and `@skill.resource` for dynamic content |
| **Class skill** | A self-contained skill class extending `ClassSkill`, bundling instructions, resources, and scripts |
| **File skill** | A skill discovered from a `SKILL.md` file on disk, with reference documents and executable script files |
| **`script_runner`** | A callable (sync or async) satisfying the `SkillScriptRunner` protocol — required when file skills have scripts |
| **`SkillsProvider`** | Registers code-defined, class-based, and file-based skills in a single provider |
## Skills in This Sample
### volume-converter (code skill)
Defined entirely in Python code using decorators:
- **`@skill.resource`** — `conversion-table`: gallons↔liters conversion factors
- **`@skill.script`** — `convert`: converts a value using a multiplication factor
Code scripts run **in-process** — no subprocess or external runner needed.
### temperature-converter (class skill)
Defined as a `TemperatureConverterSkill` class extending `ClassSkill`:
- **`@ClassSkill.resource`** — `temperature-conversion-formulas`: °F↔°C↔K formulas
- **`@ClassSkill.script`** — `convert-temperature`: converts between temperature scales
Class-based scripts run **in-process** — no subprocess or external runner needed.
### unit-converter (file skill)
Discovered from `skills/unit-converter/SKILL.md`:
- **Reference**: `references/CONVERSION_TABLES.md` — supported unit conversions and their factors
- **Script**: `scripts/convert.py` — converts a value using a multiplication factor (e.g. miles to kilometers)
File scripts are executed as **local Python subprocesses** via the
`script_runner` callback.
## How It Works
```
┌─────────────────────────────────────────────────────────────┐
│ SkillsProvider( │
│ DeduplicatingSkillsSource( │
│ AggregatingSkillsSource([ │
│ FileSkillsSource("./skills", # file skills │
│ script_runner=runner), │
│ InMemorySkillsSource([ │
│ volume_skill, # code skill │
│ temp_converter, # class skill │
│ ]), │
│ ]) │
│ ) │
│ ) │
└─────────────┬───────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ script_runner(skill, script, args) │
│ │
│ • Code scripts (@skill.script) → in-process call │
│ • Class scripts (@ClassSkill.script) → in-process call │
│ • File scripts (scripts/*.py) → subprocess via │
│ the callback function │
└─────────────────────────────────────────────────────────────┘
```
## Prerequisites
Set environment variables (or create a `.env` file):
```
FOUNDRY_PROJECT_ENDPOINT=https://your-project.openai.azure.com/
AZURE_OPENAI_MODEL=gpt-4o-mini
```
Authenticate with Azure CLI:
```bash
az login
```
## Running the Sample
```bash
cd python
uv run samples/02-agents/skills/mixed_skills/mixed_skills.py
```
## Directory Structure
```
mixed_skills/
├── mixed_skills.py # Main sample — wires code + file skills together
├── README.md
└── skills/
└── unit-converter/ # File-based skill (discovered from SKILL.md)
├── SKILL.md
├── references/
│ └── CONVERSION_TABLES.md
└── scripts/
└── convert.py
```
## Learn More
- [File-Based Skills Sample](../file_based_skill/)
- [Code-Defined Skills Sample](../code_defined_skill/)
- [Script Approval Sample](../script_approval/)
- [Agent Skills Specification](https://agentskills.io/)