Genpark User Persona Generator Skill

An agentic skill that synthesizes 2-3 structured, highly actionable buyer persona profiles based on product attributes, category, price tier, key features, and target region.

Capabilities

• Multi-Category Archetypes: Built-in template banks covering Service, AI Gadgets, Robots, Fashion, Electronics, and Crypto.
• Price Tier Segmentation: Distinct persona archetypes tailored to budget, mid, premium, and luxury pricing models.
• Dynamic Feature Tailoring: Integrates key product capabilities directly into pain points, motivations, and messaging angles.
• Geographic & Demographic Channel Mapping: Assigns priority marketing channels (e.g. TikTok, LinkedIn, WeChat, Reddit) based on demographic age brackets and target market (us, europe, asia, global).

Directory Layout

genpark-user-persona-generator-skill/
├── skill.json                  # Skill manifest file
├── persona_generator_agent.py  # Main Python agent implementation class
├── example_usage.py            # Runnable usage example script
├── requirements.txt            # Python dependencies (standard library only)
└── README.md                   # Documentation and usage guide

Input Schema (skill.json)

Field	Type	Description	Options
product_name	string	Name of the product or service	e.g. "Unitree G1 Humanoid Robot"
category	string	Product vertical	Service, AI Gadgets, Robots, Fashion, Electronics, Crypto
price_tier	string	Price tier positioning	budget, mid, premium, luxury
key_features	array	Unique selling points & capabilities	e.g. ["23 DoF", "3D LiDAR"]
target_market	string	Geographic market region	global, us, asia, europe

Output Schema

Field	Type	Description
personas	array	Array of 2-3 persona objects containing name, age_range, occupation, pain_points, motivations, objections, messaging_angle, and priority_channels
summary	string	Executive overview of synthesized persona landscape

Quick Start / Usage

Run the included example script:

python example_usage.py

Python API Integration

from persona_generator_agent import UserPersonaGeneratorClient

agent = UserPersonaGeneratorClient()

result = agent.generate(
    product_name="Unitree G1 Humanoid Robot",
    category="Robots",
    price_tier="premium",
    key_features=[
        "23 to 43 Degrees of Freedom (DoF)",
        "3D LiDAR and Depth Camera Sensing",
        "Force-controlled humanoid manipulation"
    ],
    target_market="us"
)

print(result["summary"])
for persona in result["personas"]:
    print(persona["name"], persona["messaging_angle"])

License

MIT License