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Samuelca6399
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lead-scoring

Build lead scoring frameworks combining ICP fit and behavioral intent signals.

Updated Aug 23, 2026
Search Tags:#lead scoring#icp#intent signals#mql sql#qualification framework#score decay#sales marketing alignment
One-click install
npx skills add https://github.com/Samuelca6399/AbsolutelySkilled --skill lead-scoring-samuelca6399
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-scoring
Source: https://github.com/Samuelca6399/AbsolutelySkilled/tree/main/skills/lead-scoring
Command: npx skills add https://github.com/Samuelca6399/AbsolutelySkilled --skill lead-scoring-samuelca6399

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Lead scoring fixes the problem of wasting sales and marketing time on poor-fit prospects by quantifying fit (ICP alignment) and intent (purchase readiness) into consistent, actionable lead priorities.

Core Features & Use Cases

  • Build an ICP and scoring model: Define firmographic and technographic criteria, then create a point-based (or predictive) scoring framework that combines fit + behavioral intent.
  • Set MQL/SQL thresholds and handoff rules: Establish shared definitions and gating criteria so marketing and sales align on what “qualified” means and when to route leads.
  • Identify and weight intent signals: Use a taxonomy for first-party, second-party, and third-party intent signals with tiered weighting.
  • Apply score decay and validate outcomes: Reduce stale behavioral signals over time, then back-test the model against closed-won vs closed-lost outcomes to ensure it predicts conversions.

Quick Start

Use the lead-scoring skill to design an ICP plus an MQL/SQL scoring model that combines fit thresholds with intent signal weighting and decay.

Frequently Asked Questions about lead-scoring

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

FAQPage Schema
How do I build a lead scoring model combining ICP fit and intent signals?▼

Build a lead scoring model by defining firmographic and technographic ICP criteria, then combine fit thresholds with weighted behavioral intent signals into a point-based or predictive scoring framework.

What's the best way to set MQL and SQL thresholds for sales-marketing alignment?▼

Set MQL and SQL thresholds by establishing shared definitions and gating criteria that require both fit and intent, creating clear SLA rules for when marketing routes qualified leads to sales.

How does score decay work for stale behavioral intent signals?▼

Score decay reduces the value of stale behavioral intent signals over time, ensuring outdated actions do not inflate qualification scores and validating conversions against closed-won and closed-lost data.

What intent signals should I weight in a lead qualification framework?▼

Weight intent signals using a taxonomy of first-party, second-party, and third-party data, applying tiered weighting alongside standardized negative and disqualifier logic to gate qualified leads.

Can I back-test lead scoring against historical closed-won and closed-lost outcomes?▼

Back-test lead scoring frameworks against historical closed-won and closed-lost data using decay-aware behavioral scoring to validate that your qualification rules accurately predict conversions.

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