prospect

Generate ranked enriched decision-maker leads from ideal customer profile descriptions using Apollo APIs.

23.4k|2.8k|Updated Jan 23, 2026
One-click install
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill prospect-anthropics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prospect
Source: https://github.com/anthropics/knowledge-work-plugins/tree/main/partner-built/apollo/skills/prospect
Command: npx skills add https://github.com/anthropics/knowledge-work-plugins --skill prospect-anthropics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the process of finding and enriching sales leads based on a detailed description of your ideal customer profile (ICP), saving significant time in lead generation.

Core Features & Use Cases

  • ICP-to-Lead Generation: Describe your ideal customer in natural language and receive a ranked list of enriched leads.
  • Automated Enrichment: Automatically finds and enriches contact information (emails, phone numbers) for decision-makers.
  • Use Case: You need to find VPs of Engineering at Series B+ SaaS companies in the US with 200-1000 employees. Describe this ICP, and the Skill will return a table of matching, enriched leads.

Quick Start

Use the apollo prospect skill to find VPs of Engineering at Series B+ SaaS companies in the US, with 200-1000 employees.

Frequently Asked Questions about prospect

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

FAQPage Schema
How do I generate sales leads from an ideal customer profile description?

Yes, you can find decision-makers using a plain English ideal customer profile. The process parses your ICP description into specific company and person filters, searches for matching companies, identifies decision-makers, and enriches their contact information automatically.

How does Apollo contact enrichment work for sales prospecting?

Apollo contact enrichment for sales prospecting works by taking parsed ideal customer profile filters, searching Apollo's company database, identifying decision-makers at matching firms, and enriching those leads with verified emails and phone numbers via Apollo's APIs.

Can I find VPs of Engineering at Series B SaaS companies using a natural language query?

You can find VPs of Engineering at Series B SaaS companies by providing a natural language query. The system translates your ideal customer profile description into structured company and person filters to search, rank, and enrich matching decision-maker leads.

Do I need an Apollo account to enrich leads with emails and phone numbers?

Enriching leads with emails and phone numbers requires integration with Apollo's APIs. The lead generation process depends on Apollo to parse your ideal customer profile filters, search for companies, find decision-makers, and retrieve enriched contact data.

What is the best way to automate B2B lead generation for specific company sizes?

Automating B2B lead generation for specific company sizes is best handled by defining an ideal customer profile in plain English. The system parses details like employee count and funding stage into filters, searches for matching companies, and enriches decision-maker contacts automatically.