Build target entity lists from people, companies, posts, and jobs.
npx skills add https://github.com/nurturev/gtm-engine --skill list-building-nurturev
Please help me install this Agent Skill. Skill: list-building Source: https://github.com/nurturev/gtm-engine/tree/main/.claude/skills/list-building Command: npx skills add https://github.com/nurturev/gtm-engine --skill list-building-nurturev
Build target entity lists (people, companies, posts, jobs) from data sources. Use when a user has no list and needs to assemble one from search criteria. Four routes: Company First (company-level ICP criteria needing AI), People First (person-level criteria with optional company qualification), Google Search (niche/ unconventional criteria or exact phrase matching), LinkedIn Post Search (company-specific post discovery). Output: entity table with identifiers for downstream operations.
Use List Building to generate a target entity list by selecting a route and supplying search criteria.
High-intent search queries and answers about installing and using this skill.
To build a prospect list from ICP criteria, select one of four routes: Company First, People First, Google Search, or LinkedIn Post Search. You input your target criteria and the system outputs a structured entity table with unique identifiers for downstream workflows.
The best way to search for niche B2B prospects using exact phrase matching is the Google Search route, designed for unconventional criteria or specific phrase queries. It aggregates search results into a normalized entity table for your prospect list.
Yes, you can assemble a target company list using the Company First route, which applies AI to process company-level ICP criteria. It generates a structured table of target companies with identifiers ready for downstream enrichment.
Yes, the People First route supports finding people using person-level criteria with optional company qualification. This route outputs a normalized entity table containing target individuals and their associated identifiers for lead enrichment workflows.
The output table contains normalized entities with unique identifiers required for downstream operations. This structured format supports deterministic routing and lead enrichment by providing distinct identifiers for every person, company, post, or job discovered.
Use the LinkedIn Post Search route for B2B data sourcing when you need company-specific post discovery. This route targets posts from specific companies and outputs the results into a structured entity table with identifiers for downstream workflows.
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