Score leads across five dimensions using Clay enrichment data.
npx skills add https://github.com/0xjitsu/jitsu-skills --skill lead-scorer-0xjitsu
Please help me install this Agent Skill. Skill: lead-scorer Source: https://github.com/0xjitsu/jitsu-skills/tree/main/skills/lead-scorer Command: npx skills add https://github.com/0xjitsu/jitsu-skills --skill lead-scorer-0xjitsu
Weighted lead scoring using Clay enrichment data across five dimensions to help prioritize outreach and optimize campaigns.
Score a sample set of enriched contacts to generate a prioritized lead report.
High-intent search queries and answers about installing and using this skill.
Score leads by evaluating Clay enrichment data across five dimensions: company fit, title seniority, tech stack overlap, social presence, and engagement signals. It outputs a tiered classification (Hot, Warm, Cold, Skip) with a top signal per contact.
Yes, lead scoring integrates with campaign sequencers to drive prioritized outreach. You can qualify lists for automation workflows by ranking prospects and outputting a tiered classification to determine contact priority.
Weighted lead scoring evaluates prospects across five dimensions: company fit, title seniority, tech stack overlap, social presence, and engagement signals. This approach helps prioritize outreach and optimize campaigns.
Yes, you need a defined target tech stack to evaluate tech stack overlap. A deterministic scoring formula and tiered output with a top signal per contact are also required to rank prospects accurately.
Classify prospects by applying a deterministic scoring formula across five Clay enrichment dimensions. The output generates a tiered classification—Hot, Warm, Cold, or Skip—along with a concise top signal per contact.
Avoid automated lead scoring if your Clay enrichment data is incomplete across the five required dimensions, or if you lack a defined target tech stack to accurately measure tech stack overlap for your prospects.
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