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

Name: retail-agent-customizer
Author: lavinigam-gcp

Common Customizations

Goal	What to Modify
Different business type	IntakeAgent + MarketResearchAgent prompts
New industry vertical	All agent prompts + StrategyAdvisor criteria
Additional output format	Add new agent to ParallelAgent
Different analysis criteria	GapAnalysisAgent + report schema
Change AI model	`app/config.py`

Quick Customizations

Change Business Vertical

Edit IntakeAgent to recognize new business types:

# 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:

# 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:

# 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:

# 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

Customization	Primary Files
Business types	`app/sub_agents/intake_agent/agent.py`
Research focus	`app/sub_agents/market_research/agent.py`
Competitor criteria	`app/sub_agents/competitor_mapping/agent.py`
Analysis logic	`app/sub_agents/gap_analysis/agent.py`
Recommendations	`app/sub_agents/strategy_advisor/agent.py`
Report structure	`app/schemas/report_schema.py`
Model selection	`app/config.py`
Output artifacts	`app/sub_agents/artifact_generation/agent.py`

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

retail-agent-customizer

Install Skill

SKILL.md