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 john@company.com" 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.