Multi-Skill Agent - PowerPoint, Excel, and Word

Create an agent with multiple Claude Agent Skills that can create presentations, spreadsheets, and documents in a single workflow.

The source imports a companion helper that is absent from the cookbook directory. Save the complete download helper below as file_download_helper.py beside this script before running.

multi_skill_agent.py
"""
Multi-Skill Agent - PowerPoint, Excel, and Word.

This cookbook demonstrates how to create an agent with multiple Claude Agent Skills
that can create presentations, spreadsheets, and documents in a single workflow.

Prerequisites:
- uv pip install agno anthropic
- export ANTHROPIC_API_KEY="your_api_key_here"
"""

import os

from agno.agent import Agent
from agno.models.anthropic import Claude
from anthropic import Anthropic
from file_download_helper import download_skill_files

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

# Create an agent with multiple skills
multi_skill_agent = Agent(
    name="Multi-Skill Document Creator",
    model=Claude(
        id="claude-sonnet-4-5-20250929",
        skills=[
            {"type": "anthropic", "skill_id": "pptx", "version": "latest"},
            {"type": "anthropic", "skill_id": "xlsx", "version": "latest"},
            {"type": "anthropic", "skill_id": "docx", "version": "latest"},
        ],  # Enable PowerPoint, Excel, and Word skills
    ),
    instructions=[
        "You are a comprehensive business document creator.",
        "You have access to PowerPoint, Excel, and Word document skills.",
        "Create professional document packages with consistent information across all files.",
    ],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    # Check for API key
    if not os.getenv("ANTHROPIC_API_KEY"):
        raise ValueError("ANTHROPIC_API_KEY environment variable not set")

    print("=" * 60)
    print("Multi-Skill Agent - Document Package Creation")
    print("=" * 60)

    # Example: Create a simple multi-skill document package
    prompt = (
        "Create a sales report package with 2 documents:\n\n"
        "1. EXCEL SPREADSHEET (sales_report.xlsx):\n"
        "   - Q4 sales data: Oct $450K, Nov $520K, Dec $610K\n"
        "   - Include a total formula\n"
        "   - Add a simple bar chart\n\n"
        "2. WORD DOCUMENT (sales_summary.docx):\n"
        "   - Brief Q4 sales summary\n"
        "   - Total sales: $1.58M\n"
        "   - Growth trend: Strong December performance\n"
    )

    print("\nCreating document package...\n")

    # Use the agent to create all documents
    response = multi_skill_agent.run(prompt)

    # Print the agent's response
    print(response.content)

    # Download files created by the agent
    print("\n" + "=" * 60)
    print("Downloading files...")
    print("=" * 60)

    # Access the underlying response to get file IDs
    client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))

    # Download files from the agent's response
    if response.messages:
        for msg in response.messages:
            if hasattr(msg, "provider_data") and msg.provider_data:
                files = download_skill_files(msg.provider_data, client)
                if files:
                    print(f"\n Successfully downloaded {len(files)} file(s):")
                    for file in files:
                        print(f"   - {file}")
                    break
    else:
        print("\n  No files were downloaded")

    print("\n" + "=" * 60)
    print("Done! Check the current directory for all files.")
    print("=" * 60)

Download Helper

Save this as file_download_helper.py beside the source script. Agno stores generated file IDs in a message's provider_data["file_ids"]. The helper downloads those files through the Anthropic Files API, using a fresh local directory for each batch and retaining each file's extension. It returns the saved paths; it does not delete the remote files.

file_download_helper.py
from pathlib import Path
from tempfile import mkdtemp


def download_skill_files(provider_data, client, default_filename="output.bin"):
    file_ids = list(dict.fromkeys(provider_data.get("file_ids") or []))
    if not file_ids:
        return []

    output_dir = Path(mkdtemp(prefix="skill-files-", dir="."))
    saved_paths = []
    for index, file_id in enumerate(file_ids, start=1):
        metadata = client.beta.files.retrieve_metadata(
            file_id, betas=["files-api-2025-04-14"]
        )
        filename = (metadata.filename or default_filename).replace("\\", "/")
        filename = Path(filename).name
        if filename in ("", ".", ".."):
            filename = "output.bin"
        target = output_dir / f"{index}-{filename}"
        response = client.beta.files.download(
            file_id, betas=["files-api-2025-04-14"]
        )
        response.write_to_file(target)
        saved_paths.append(str(target))
    return saved_paths

If no file IDs are returned, there is nothing to download. A failed download raises the SDK error; any files already saved in that batch remain in the local skill-files-* folder.

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno anthropic

Export your Anthropic API key

export ANTHROPIC_API_KEY="your_anthropic_api_key_here"

Run the example

Save the source and file_download_helper.py in the same directory. Save the source as multi_skill_agent.py, then run:

python multi_skill_agent.py

Full source: cookbook/90_models/anthropic/skills/multi_skill_agent.py