How does the skill find timing signals like funding or hiring?

The skill uses a search MCP to perform web research, looking for recent funding announcements, leadership changes, and other external triggers that suggest buying readiness.

What is the three-dimension scoring model?

It is a 100-point framework that evaluates leads based on Fit (ICP alignment, 40 pts), Timing (external buying signals, 40 pts), and Engagement (active interest via CRM data, 20 pts).

How do I know if my scoring model is accurate?

The skill includes a /score recalibration command that compares scores against your last 20 closed-won deals to ensure the model is correctly identifying high-value leads.

Can I customize the lead scoring weights?

Yes, all weights for dimensions like company size, industry, and specific engagement actions can be customized in your sales-marketing.local.md configuration file.

Lead Scoring & Qualification

Name: Lead Scoring & Qualification
Author: panaversity

bypanaversity

•

마케팅 자동화

Qualifies and prioritizes sales leads using a three-dimensional scoring model based on ICP fit, real-time timing signals, and CRM engagement data.

The Lead Scoring skill empowers Claude to act as a strategic RevOps assistant, evaluating prospects against a rigorous 100-point framework. It analyzes Ideal Customer Profile (ICP) alignment, leverages web search capabilities to identify urgent timing signals—such as funding rounds or leadership changes—and integrates engagement data to categorize leads into actionable tiers (HOT, WARM, CULTIVATE, NYT). By providing detailed rationales and routing recommendations, this skill ensures sales teams focus their energy on high-intent opportunities while automating the repetitive task of manual qualification.

주요 기능

01Automated lead tiering with defined response SLAs and routing logic.

02Three-dimensional scoring model covering ICP Fit, Buying Timing, and Engagement.

03Built-in recalibration logic to align scores with historical conversion rates.

04Real-time intent discovery via web search for funding, hiring, and leadership signals.

05Customizable scoring weights and ICP parameters via local configuration files.

0611 GitHub stars

사용 사례

01Auditing and recalibrating existing qualification frameworks using historical closed-won deal data.

02Automating the identification of 'outbound-ready' accounts based on external trigger events like recent funding.

03Prioritizing daily inbound lead queues to identify high-value prospects for immediate outreach.

주요 기능

01Automated lead tiering with defined response SLAs and routing logic.

02Three-dimensional scoring model covering ICP Fit, Buying Timing, and Engagement.

03Built-in recalibration logic to align scores with historical conversion rates.

04Real-time intent discovery via web search for funding, hiring, and leadership signals.

05Customizable scoring weights and ICP parameters via local configuration files.

0611 GitHub stars

사용 사례

01Auditing and recalibrating existing qualification frameworks using historical closed-won deal data.

02Automating the identification of 'outbound-ready' accounts based on external trigger events like recent funding.

03Prioritizing daily inbound lead queues to identify high-value prospects for immediate outreach.