agent-framework/python/samples/02-agents/skills/mixed_skills

Mixed Skills — Code Skills and File Skills

This sample demonstrates how to combine code-defined skills and file-based skills in a single agent using a SkillScriptRunner callable and 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
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 both code-defined 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.

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(                                             │
│      skill_paths="./skills",              # file skills      │
│      skills=[volume_converter_skill],    # code skills      │
│      script_runner=runner,                                    │
│  )                                                           │
└─────────────┬───────────────────────────────────────────────┘
              │
              ▼
┌─────────────────────────────────────────────────────────────┐
│  script_runner(skill, script, args)                          │
│                                                             │
│  • Code scripts (@skill.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_DEPLOYMENT_NAME=gpt-4o-mini

Authenticate with Azure CLI:

az login

Running the Sample

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
• Code-Defined Skills Sample
• Script Approval Sample
• Agent Skills Specification