genpark-influencer-match-skill

# genpark-influencer-match-skill > **GenPark AI Agent Skill** — Match products with optimal influencer profiles based on category, audience fit, engagement rate, and ROI estimation. ## Features - Category-based influencer pool (beauty, fitness, tech, food, fashion) - Goal-weighted scoring: awareness, conversions, engagement, traffic - Influencer tier classification (Nano/Micro/Mid/Macro/Mega) - ROI estimation per influencer (reach, engagements, conversions, CPC) - Budget allocation recommendations by tier - Auto-generated campaign brief for outreach ## Quick Start ```python from client import InfluencerMatchClient client = InfluencerMatchClient() result = client.match( product_category="beauty", budget_usd=5000, campaign_goal="conversions", top_n=5, ) for m in result["matches"]: print(f"{m['handle']} | Fit: {m['fit_score']} | Est. Conversions: {m['estimated_roi']['estimated_conversions']}") print(result["campaign_brief"]) ``` ## Installation ```bash python example_usage.py # No external dependencies ``` --- Built by [GenPark](https://genpark.ai) | [alphaparkinc](https://github.com/alphaparkinc)