prospect

Generate ranked, enriched B2B lead lists from natural-language ideal-customer profiles.

8|1|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/MSApps-Mobile/claude-plugins --skill prospect-msapps-mobile
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prospect
Source: https://github.com/MSApps-Mobile/claude-plugins/tree/main/plugins/apollo/skills/prospect
Command: npx skills add https://github.com/MSApps-Mobile/claude-plugins --skill prospect-msapps-mobile

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the manual, error-prone process of turning an informal ideal-customer profile into a usable outbound list by producing a ranked, enriched table of decision-maker leads complete with emails and phone numbers.

Core Features & Use Cases

  • ICP parsing and filter extraction: Convert plain-English ICPs or named segments into structured company and person filters (industry keywords, employee ranges, locations, titles, seniority).
  • Company search and enrichment: Search target companies, enrich top domains with firmographics (revenue, funding, headcount) and rank fit for MSApps.
  • Decision-maker discovery and enrichment: Find relevant people, batch-enrich contacts (including personal emails and phones) with credit-awareness and deduping options for CRM import.
  • Use Case: Quickly generate a prioritized outbound list for MSApps targeting CTOs at FinTech Series A startups in the US and export to Apollo or CSV for outreach.

Quick Start

Find CTOs at FinTech startups in the US, Series A, 50-200 employees and return a ranked table of enriched leads with emails and phone numbers.

Frequently Asked Questions about prospect

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

FAQPage Schema
How do I generate a lead list from an ideal customer profile using natural language?

To generate a lead list from an ideal customer profile, you input a plain-English ICP description. The system parses your text into structured company and person filters, then searches and enriches B2B contacts to produce a ranked table of leads.

Can I find personal emails and phone numbers for B2B decision-makers in specific regions?

Yes, you can find personal emails and phone numbers for B2B decision-makers in the United States, Europe, and Israel. The system batch-enriches relevant contacts while providing credit consumption warnings and deduping options for CRM import.

What is the best way to rank and enrich FinTech startup leads for outbound sales?

The best way to rank and enrich FinTech startup leads is by using firmographic enrichment and fit scoring. The system searches target companies, enriches domains with revenue and headcount data, and scores them against your ideal customer profile.

Does lead generation with this method support exporting contacts to Apollo or CSV?

Lead generation results support CRM import and can be exported to CSV for outreach. The system outputs a prioritized table of enriched leads with emails and phone numbers, ready for Apollo integration or direct outbound campaigns.

How do company and person filters work when searching for Series A startup executives?

Company and person filters extract industry keywords, employee ranges, locations, titles, and seniority from your ICP. This structured data targets specific executives like CTOs at Series A startups, ensuring precise B2B prospecting results.

Are there limitations on credit consumption when batch-enriching contacts?

Credit consumption limitations are managed through built-in warnings during batch-enrichment. The system alerts you when processing personal email reveals and phone number enrichments to prevent unexpected credit depletion.