lead-qualifier

Qualify inbound NitroSales leads against ICP criteria and assign priority.

Updated Mar 11, 2026
One-click install
npx skills add https://github.com/tlapidus-rgb/nitrosales --skill lead-qualifier-tlapidus-rgb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lead-qualifier
Source: https://github.com/tlapidus-rgb/nitrosales/tree/main/CLAUDE_VM/SKILLS_VM/skills/lead-qualifier
Command: npx skills add https://github.com/tlapidus-rgb/nitrosales --skill lead-qualifier-tlapidus-rgb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Qualifies inbound NitroSales leads quickly and honestly, ensuring leads are either moved into the pipeline with a next step or placed in nurture, while cross-checking against the ICP and assigning a clear priority.

Core Features & Use Cases

  • Quick ICP-aware scoring: load canonical ICP criteria, perform rapid account research, capture lead data, apply scoring, and assign a priority (HOT / WARM / COLD / DESCARTAR) with a proposed next step.
  • Data completeness guardrail: requires essential fields (name, company, role, channel, request) and explicitly flags gaps rather than guessing.
  • Decision discipline: no guessing; if information is missing, you mark gaps and proceed with the best available context.

Quick Start

Input the inbound lead details, run the ICP profiler and account research, and output a prioritized action plan with the next step.

Frequently Asked Questions about lead-qualifier

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I qualify inbound leads against my ICP criteria?

To qualify inbound leads against your ICP criteria, input the lead details to trigger account research and ICP profiling. The system applies scoring based on your canonical ICP criteria and assigns a clear priority: HOT, WARM, COLD, or DESCARTAR, with a proposed next step.

What is the best way to score inbound leads without guessing missing data?

Scoring inbound leads without guessing requires a data completeness guardrail that explicitly flags missing essential fields like name, company, role, channel, and request. The system marks these gaps and proceeds with the best available context rather than fabricating information to assign a priority.

How do I assign priority levels to inbound leads for pipeline routing?

Assigning priority levels to inbound leads for pipeline routing involves loading canonical ICP criteria, performing rapid account research, and capturing lead data. The system then outputs a structured prioritization of HOT, WARM, COLD, or DESCARTAR alongside a proposed next step for pipeline progression.

What happens to cold leads that do not match my ideal customer profile?

Cold leads that do not match your ideal customer profile are assigned a COLD or DESCARTAR priority. The system ensures these leads are either moved into the pipeline with a next step or placed in a nurture track, maintaining decision discipline without guessing.

Do I need complete account research before scoring an inbound lead?

You do not need complete account research before scoring an inbound lead. The system applies decision discipline by marking information gaps and proceeding with the best available context to deliver a structured lead qualifier and proposed next step.

What essential lead data is required for accurate ICP scoring?

Accurate ICP scoring requires essential lead data fields including name, company, role, channel, and request. If any of these fields are missing, the system explicitly flags the gaps rather than guessing, ensuring the qualification remains honest and grounded in available data.