AI Lead Scoring
CommunityScore leads for AI platform fit fast.
Authornomad3
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This rubric enables teams to quickly quantify the likelihood that a lead will become a customer for an AI platform, reducing manual guesswork and speeding up prioritization.
Core Features & Use Cases
- Rubric-based scoring from 0-100 across hiring, tech stack alignment, funding signals, company size, and direct fit.
- Handles both individual accounts and bulk scoring for lists of leads.
- Use Case: A go-to-market team reviews inbound leads and scores them to determine outreach priority and resource allocation.
Quick Start
Run AI Lead Scoring on the target knowledge entity by providing its UUID to obtain a 0-100 score and a breakdown.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: AI Lead Scoring Download link: https://github.com/nomad3/servicetsunami-agents/archive/main.zip#ai-lead-scoring Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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