"""
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)
