---

name: retail-agent-customizer description: Customize the retail agent for different use cases. Use when adapting for different business types, industries, or output formats, or when modifying prompts, adding verticals, or changing the analysis focus.

Retail Agent Customizer

Common Customizations

Quick Customizations

Change Business Vertical

Edit IntakeAgent to recognize new business types:

Copy# app/sub_agents/intake_agent/agent.py
INSTRUCTION = """Extract:
- target_location: The location/city/neighborhood
- business_type: Type of business (e.g., restaurant, gym,
  salon, clinic, coworking space, YOUR_NEW_TYPE)
"""

Modify Research Focus

Edit MarketResearchAgent for industry-specific research:

Copy# app/sub_agents/market_research/agent.py
INSTRUCTION = """Research the following for {target_location}:
- Demographics and foot traffic
- [ADD YOUR CRITERIA HERE]
- Industry-specific trends for {business_type}
"""

Change Output Schema

Edit the Pydantic schema for different report structure:

Copy# app/schemas/report_schema.py
class LocationIntelligenceReport(BaseModel):
    location_score: float
    market_opportunity: str
    # Add your custom fields
    your_custom_field: str

Add New Output Format

Create new artifact agent and add to ParallelAgent:

Copy# app/agent.py
artifact_generation_pipeline = ParallelAgent(
    name="ArtifactGenerationPipeline",
    sub_agents=[
        report_generator_agent,
        infographic_generator_agent,
        audio_overview_agent,
        your_new_output_agent,  # Add here
    ],
)

Key Files to Modify

[See references/customization-guide.md for detailed examples]