Find, enrich, and qualify prospects against library-defined ICP criteria.
npx skills add https://github.com/octavehq/lfgtm --skill prospector
Please help me install this Agent Skill. Skill: prospector Source: https://github.com/octavehq/lfgtm/tree/main/skills/prospector Command: npx skills add https://github.com/octavehq/lfgtm --skill prospector
This Skill finds, enriches, and qualifies prospects against your library's ICP criteria, dramatically speeding up target discovery and prioritization.
Start with an interactive search using your library context, then refine with playbooks, segments, and personas.
High-intent search queries and answers about installing and using this skill.
Lead generation with ICP scoring works by evaluating prospects against your library-defined ideal customer profile criteria, returning enriched company context and decision-maker contacts alongside a fit score and recommended outreach approach.
The best way to find target accounts using playbooks and personas is to apply your library-defined ICP criteria to search and filter prospects, which returns a ranked list of matching companies and decision-makers with suggested messaging.
Yes, you need MCP library context for prospect scoring because the Skill relies on library-defined ICP criteria to evaluate candidates, score their fit, and generate recommended outreach approaches.
Yes, you can use prospecting segments for enterprise sales target discovery by applying ICP-driven playbooks to quickly assemble ranked target accounts and key decision-makers with suggested messaging.
You qualify prospects against your ideal customer profile by running an interactive search with your library context, which scores candidates on ICP criteria and provides fit reasoning for prioritization.
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OneWave-AIExtract public LinkedIn data to build targeted prospect lists.
