Data Sourcing & Enrichment Optimizer

关于

This skill transforms Claude into a strategic RevOps and data engineering consultant capable of architecting sophisticated enrichment workflows. It provides a comprehensive framework for navigating over 150 data providers, including giants like Apollo, ZoomInfo, and Hunter, to maximize data accuracy while minimizing API costs. By implementing tiered credit strategies, smart waterfall sequences, and industry-specific provider matrices, it helps teams build robust pipelines for lead generation, firmographic analysis, and technographic discovery. Whether you are building a new GTM stack or auditing existing credit waste, this skill ensures your data sourcing is both predictable and high-performing.

主要功能

• 81 GitHub stars
• Industry-specific recommendations for SaaS, Healthcare, and Finance
• Automated waterfall logic design for sequential enrichment attempts
• Multi-provider selection matrix for email, phone, and company data
• Credit optimization strategies with 5-tier cost analysis
• Data quality scoring framework to validate multi-source inputs

使用场景

• Designing cost-effective email discovery waterfalls for GTM teams
• Auditing and reducing credit waste in existing enrichment pipelines
• Building automated data engineering workflows for company intelligence