lead-qualification

Evaluate business leads against an Ideal Customer Profile using web search and fetch tools.

90|10|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/cognyai/claude-code-marketing-skills --skill lead-qualification-cognyai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lead-qualification
Source: https://github.com/cognyai/claude-code-marketing-skills/tree/main/skills/lead-qualification
Command: npx skills add https://github.com/cognyai/claude-code-marketing-skills --skill lead-qualification-cognyai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps sales and marketing teams quickly determine whether a prospect aligns with their Ideal Customer Profile, saving time on manual research and improving outreach efficiency.

Core Features & Use Cases

  • Lead Parsing: Extracts name, email, and company from input and flags personal email domains.
  • Automated Research: Performs web searches to find LinkedIn profiles, company size, industry, and advertising activity.
  • Fit Scoring: Generates detailed scores, signals, estimated deal value, and next-step recommendations.
  • Summary Table: Provides a concise overview for multiple leads to prioritize outreach.

Quick Start

Run /lead-qualification "John Smith [email protected]" to receive an immediate assessment of the lead’s fit and next steps.

Frequently Asked Questions about lead-qualification

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

FAQPage Schema
How do I qualify leads against my Ideal Customer Profile automatically?

You can qualify leads against your Ideal Customer Profile by parsing contact details, performing automated web searches for company size and industry, and generating a fit score to determine alignment. This eliminates manual research and accelerates outreach prioritization.

What is lead qualification based on company research and ad presence?

Lead qualification based on company research evaluates a prospect's fit by extracting details like LinkedIn profiles, company size, and advertising activity without external APIs. It generates fit scores and estimated deal values to guide sales outreach.

Can I analyze a list of business leads for ICP fit and deal value?

Yes, you can analyze individual contacts or lists of business leads for ICP fit. The process extracts names and emails, flags personal domains, gathers company details via web search, and outputs a summary table with fit scores and estimated deal values.

Do I need external APIs to gather budget signals and company size for sales outreach?

No, you do not need external APIs to gather budget signals and company size for sales outreach. The lead qualification process leverages built-in web search and fetch tools to extract LinkedIn profiles, ad presence, and company details directly.

What is the best way to prioritize sales outreach using fit scores?

The best way to prioritize sales outreach is to generate a summary table of multiple leads that includes fit scores, signals, and next-step recommendations. This concise overview allows you to rank prospects by estimated deal value and alignment.

How does lead parsing handle personal email domains during ICP qualification?

During ICP qualification, lead parsing automatically extracts names and emails from your input and explicitly flags personal email domains. This helps filter out non-business contacts early, ensuring your sales outreach targets qualified company accounts.