> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Basic Skills on a Team

> Attach Skills to a Team leader so it gets domain expertise (instructions, references, scripts) directly.

````python basic_skills_team.py theme={null}
"""
Basic Skills on a Team
=============================

Shows how to attach Skills to a Team leader so it gets domain expertise
(instructions, references, scripts) directly — without needing to delegate
to a member agent.
"""

from pathlib import Path

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.skills import LocalSkills, Skills
from agno.team.team import Team

# ---------------------------------------------------------------------------
# Skills — loaded from the same sample directory used by basic_skills.py
# ---------------------------------------------------------------------------
skills_dir = Path(__file__).parent / "sample_skills"

# ---------------------------------------------------------------------------
# Member Agents
# ---------------------------------------------------------------------------
implementer = Agent(
    name="Implementer",
    role="Write code based on the review feedback",
    model=OpenAIResponses(id="gpt-5.2"),
    instructions=[
        "You write clean, well-tested Python code.",
        "When given review feedback, produce an improved version of the code.",
    ],
)

# ---------------------------------------------------------------------------
# Team with Skills on the leader
# ---------------------------------------------------------------------------
review_team = Team(
    name="Code Review Team",
    model=OpenAIResponses(id="gpt-5.2"),
    members=[implementer],
    skills=Skills(loaders=[LocalSkills(str(skills_dir))]),
    instructions=[
        "You are a team leader with access to code review skills.",
        "Use your skills to review code, then delegate implementation work to the Implementer.",
    ],
    markdown=True,
    show_members_responses=True,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    review_team.print_response(
        "Review this Python code and suggest improvements, "
        "then have the Implementer write the improved version:\n\n"
        "```python\n"
        "def calculate_total(items):\n"
        "    total = 0\n"
        "    for i in range(len(items)):\n"
        "        total = total + items[i]['price'] * items[i]['quantity']\n"
        "    return total\n"
        "```",
        stream=True,
    )
````

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Clone Agno">
    Clone the repository and run the remaining commands from its root:

    ```bash theme={null}
    git clone https://github.com/agno-agi/agno.git
    cd agno
    ```
  </Step>

  <Step title="Run the example">
    Run the example from the repository root:

    ```bash theme={null}
    python cookbook/02_agents/16_skills/basic_skills_team.py
    ```
  </Step>
</Steps>

Full source: [cookbook/02\_agents/16\_skills/basic\_skills\_team.py](https://github.com/agno-agi/agno/blob/main/cookbook/02_agents/16_skills/basic_skills_team.py)