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build-list

Build targeted company or contact lists from natural-language criteria into structured tables.

4|5|Updated Feb 24, 2026
Search Tags:#lead generation#data enrichment#prospecting#ZoomInfo#company filtering#contact list#tabular output
One-click install
npx skills add https://github.com/Zoominfo/zoominfo-mcp-plugin --skill build-list
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-list
Source: https://github.com/Zoominfo/zoominfo-mcp-plugin/tree/main/skills/build-list
Command: npx skills add https://github.com/Zoominfo/zoominfo-mcp-plugin --skill build-list

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build targeted lists of contacts or companies from ZoomInfo data without manually figuring out complex filter criteria and formatting results into a usable table.

Core Features & Use Cases

  • Natural-language criteria to structured filters: Converts roles, seniority, departments, industries, size, geography, tech stack, and growth signals into concrete search parameters.
  • Deterministic lookup for filter values: Resolves each filter’s valid values via lookup and uses returned IDs to avoid guessing.
  • Search + optional enrichment for completeness: Runs search_contacts and/or search_companies, then enriches top results with enrich_contacts or enrich_companies to fill missing details.
  • Export-ready tabular output: Produces a clean markdown/CSV-style table artifact including the criteria actually applied and a summary of results and data quality.

Quick Start

Ask for a list by describing your target audience and constraints, for example: “Build me a list of VP of Sales at healthcare companies using Salesforce with 500+ employees in the UK, return 25 results, and include name, title, company, email, and direct phone.”

Frequently Asked Questions about build-list

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a targeted contact list using natural language criteria?▼

To generate a targeted contact list, you describe your target audience and constraints in natural language. The tool converts roles, seniority, industries, and geography into structured filters to produce an export-ready table of results.

Can I build prospecting lists with firmographic and tech stack filters?▼

Yes, you can build prospecting lists using firmographic and tech stack filters. The system resolves your described company size, industry, and technology criteria into concrete search parameters to find matching accounts and contacts.

How does data enrichment work when refining a contact list?▼

Data enrichment fills missing details after an initial search. The system searches for contacts or companies, then enriches the top results in batches to append missing details like emails and direct phone numbers into the final output.

What is the best way to export lead generation results into a structured table?▼

The best way to export lead generation results is to request a structured table artifact. The system formats the applied criteria, summarized results, and data quality metrics into a clean markdown or CSV-style table for immediate export.

Does the list builder resolve valid filter values automatically before searching?▼

Yes, the list builder resolves valid filter values automatically. It performs a deterministic lookup for each filter to retrieve valid IDs, ensuring the search executes with accurate parameters rather than guessing values.

What limitations exist when filtering ZoomInfo data for account targeting?▼

A key limitation is that filter values must be resolved via lookup before execution. While it covers firmographics, roles, and tech stacks, you must specify result limits and desired output columns upfront to manage data volume effectively.

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