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lead-scoringby Maya-Beth FinottiMarketing and SEOGitHub stars: 0

Lead Scoring skill: what it does and how to install it

Designs and validates revenue-operations lead scoring models using fit, engagement, thresholds and backtesting to improve MQL and PQL quality.

Summary generated from the skill's documentation.

Install

$ npx skills add mbfinotti/revops-skills --skill lead-scoring

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Interviews stakeholders, audits field coverage and outcomes, separates fit from engagement, applies exclusions, negative scoring, decay and caps, then sets thresholds and tiers against sales capacity. It backtests won/lost history, checks lift and false positives, and produces a versioned model spec with evidence, sign-off and review dates. It also diagnoses score inflation, stale scores and false negatives.

When to use it. Use for sales-led B2B, PLG or B2C lead scoring and MQL/PQL threshold work. It does not assign scored leads to sales representatives.

History

Repo stars

0

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Installs

3.1k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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