Skillquality 0.47

lead-qualification

Research and qualify business leads against your ICP

Price
free
Protocol
skill
Verified
no

What it does

Lead Qualification

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

Usage

/lead-qualification "John Smith john@company.com" — 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    │
└──────────────┴──────────────────┴──────────┴───────────────┘

Capabilities

skillsource-cognyaiskill-lead-qualificationtopic-agent-skillstopic-ai-agentstopic-claude-codetopic-claude-skillstopic-cluade-mcptopic-cursortopic-geotopic-growth-hackingtopic-llmtopic-marketingtopic-mcptopic-seo

Install

Quality

0.47/ 1.00

deterministic score 0.47 from registry signals: · indexed on github topic:agent-skills · 42 github stars · SKILL.md body (1,745 chars)

Provenance

Indexed fromgithub
Enriched2026-05-01 06:56:26Z · deterministic:skill-github:v1 · v1
First seen2026-04-18
Last seen2026-05-01

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