mcpField
L
lead-qualification

lead-qualification

github.com/cognyaiMarketing & growth11150 installsUpdated 2w ago
Repository

About lead-qualification

A marketing skill for researching individual leads or lead lists, assessing company and role details, and scoring fit against an ICP. It is aimed at teams qualifying B2B prospects.

Key features

  1. 01Parse names, emails, and companies
  2. 02Flag personal email domains
  3. 03Research roles and companies
  4. 04Assess marketing and advertising signals
  5. 05Score ICP fit and suggest next steps

Use cases

  1. 01Qualify a single inbound lead
  2. 02Compare fit across a prospect list
  3. 03Identify likely paid-media activity

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/cognyai/claude-code-marketing-skills --skill lead-qualification

After installing, type/lead-qualificationin Claude Code to confirm it loaded.

Details

From the project README

Lead Qualification

Research a lead or list of leads to determine ICP fit, company details, and deal potential.

Usage

/lead-qualification "John Smith [email protected]" — qualify a single lead /lead-qualification — then paste a list of leads

Steps

1. Parse the lead(s)

Extract name, email, and company from input. If email domain is personal (gmail, hotmail, outlook, yahoo, live), flag it — personal emails are a lower-quality B2B signal.

2. Research each lead

For each lead, WebSearch for:

  • Full name + company → LinkedIn profile, role, seniority
  • Company domain → website, size, industry
  • Company + "marketing" or "advertising" → whether they do paid media
3. Assess company fit

WebFetch the company website if found:

  • What do they sell?
  • How big are they? (team page, about page, funding)
  • Do they run ads? (check for tracking pixels, ad landing pages)
  • What's their likely marketing budget?
4. Score each lead
Lead: [Name] ([email])
Company: [Company] — [what they do]
Role: [Title/seniority if found]
ICP Fit: HIGH / MEDIUM / LOW / NONE

Signals:
+ [Positive signal, e.g., "Runs Google Ads"]
+ [Another positive]
- [Negative signal, e.g., "Personal email"]
- [Another negative]

Estimated deal value: [based on company size]
Next step: [specific recommendation]
5. Summary table for multiple leads
┌──────────────┬──────────────────┬──────────┬───────────────┐
│     Name     │     Company      │ ICP Fit  │   Next Step   │
├──────────────┼──────────────────┼──────────┼───────────────┤
│ [Lead 1]     │ [Company]        │ HIGH     │ Send proposal │
│ [Lead 2]     │ [Unknown]        │ LOW      │ Disqualify    │
└──────────────┴──────────────────┴──────────┴───────────────┘

Comments

Markdown supported