lead-hand-skill

Lead generation and enrichment workflows are automated by coordinating web research, data enrichment, deduplication, scoring, and reporting across multiple agents. This orchestrates discovery through CRM export, handling complex ICP criteria and multi-format outputs.

Scoring leads using BANT and MEDDIC frameworks involves applying defined scoring rubrics to assess lead quality across SMB and enterprise targets. This integrates qualification data into structured outputs, mapping to auditable operations for pipeline management.

Deduplicating leads and managing data provenance for CRM export requires applying safety checks and structured outputs during the enrichment process. This ensures auditable operations by mapping data relationships and eliminating redundant records before reporting.

Refining Ideal Customer Profile (ICP) criteria for SMB and enterprise pipelines is supported through guidance based on industry, size, geography, and signals. This handles complex ICP criteria to identify ideal customers across different target scales.

Knowledge graph integration for storing ICP and lead relationships works by mapping data provenance and generating structured outputs. It defines how leads and relationships are stored, enabling auditable operations and structured reporting for CRM export.

Workflow automation for lead generation operates with no external dependencies, relying entirely on internal orchestration for discovery, enrichment, scoring, and deduplication. It uses YAML frontmatter and runtime orchestration to coordinate multi-agent processes safely.