Works with the AI tools you already use
Nex Lead Scoring Rubric
by Nex AI
Scores scraped B2B leads on a transparent rubric so outreach starts with the accounts most likely to book a call.
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See it in action
You say
Score this prospect: TechFlow BV, KBO 0742.852.147, Gent, 12 employees, website is just a landing page with a phone number. focus is automation.
Your agent does
Lead Score: 85/100 (Priority 1)
- Sector Fit: 20/20 (Automation focus)
- Size: 20/20 (12 staff, owner-led)
- Online Presence: 15/20 (Gap identified)
- Decision Speed: 15/20 (SME structure)
- Geography: 15/20 (Gent) Action: Build demo within 48h.
What you get
About this skill
What it does
- Defines a weighted rubric across firmographics, digital maturity, buying signals and reachability, with the weights visible rather than hidden in a model.
- Scores each lead 0 to 100 and buckets them into now, nurture and drop, with the reason per score.
- Flags disqualifiers early: no website, wrong sector, out of region, no reachable decision maker.
- Outputs a ranked CSV plus a short why-this-lead line you can paste into the first mail.
Use cases
- Ranking a freshly scraped prospect list before cold outreach
- Deciding which accounts deserve a built demo site first
- Cleaning a stale CRM list down to the accounts worth re-touching
- Giving a junior sales person a repeatable qualification standard
Known limitations
The rubric is a starting point tuned to Belgian SME web and automation work, and the weights need calibrating on your own booked-call data. It scores fit, not intent, so it cannot tell you when a company is about to buy.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
300 skills on Agensi
Founder of Nex AI. I build production-grade Claude Skills from systems that actually run: multi-tenant SaaS, Telegram agents, Raspberry Pi infrastructure, 3D multiplayer rooms. Every skill ships battle-tested patterns, not theory. 33+ open source skills published, commercial catalog growing.
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