inbound-lead-qualification

Qualify inbound leads against ICP criteria and output a scored CSV report.

1.1k|200|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/athina-ai/goose-skills --skill inbound-lead-qualification
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: inbound-lead-qualification
Source: https://github.com/athina-ai/goose-skills/tree/main/skills/composites/inbound-lead-qualification
Command: npx skills add https://github.com/athina-ai/goose-skills --skill inbound-lead-qualification

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the rigorous qualification of inbound leads, ensuring sales teams focus on the most promising prospects by evaluating them against Ideal Customer Profile (ICP) criteria and existing pipeline data.

Core Features & Use Cases

  • Comprehensive ICP Matching: Evaluates leads based on company size, industry, use case fit, and individual persona (title, seniority).
  • Pipeline & CRM Integration: Checks for existing customers, active deals, and past engagement to prevent duplication and inform sales strategy.
  • Scored Output: Generates a detailed CSV report with qualification scores, verdicts, and reasoning for efficient follow-up.
  • Use Case: Automatically process a list of new website leads, identify which ones fit your enterprise SaaS ICP, flag any that are already in your Salesforce pipeline, and output a prioritized list for the sales development team.

Quick Start

Qualify the inbound leads provided in the attached spreadsheet 'new-leads.csv'.

Frequently Asked Questions about inbound-lead-qualification

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

FAQPage Schema
How do I qualify inbound leads against my Ideal Customer Profile?

Lead scoring evaluates inbound contacts against ICP criteria like company size, industry, and seniority. The Skill cross-references existing CRM pipeline data to identify duplicates, outputting a scored CSV report with qualification reasoning and routing flags for prioritized sales follow-up.

How do I automate lead scoring for a CSV file of new website leads?

Automating lead scoring from a CSV file processes inbound contacts against predefined ICP criteria and existing customer data. The Skill generates a detailed CSV report featuring qualification scores, verdicts, and reasoning to prioritize the sales development team's outreach.

Can I check inbound leads for existing CRM pipeline overlap and duplicates?

Yes, you can check inbound leads for CRM pipeline overlap. The Skill cross-references new contacts with existing CRM and customer data to identify active deals, past engagement, and duplicates, preventing redundant outreach and informing sales strategy.

What is the best way to route qualified leads to a sales development team?

The best way to route qualified leads is by generating a scored CSV report with explicit routing flags. The Skill evaluates ICP matching and pipeline data to output prioritized lists, ensuring sales teams focus on the most promising prospects.

Does inbound lead qualification work with Salesforce CRM integration?

Inbound lead qualification supports CRM integration by cross-referencing leads with existing pipeline data. While Salesforce is an example use case, the Skill checks for active deals and duplicates against connected customer data to inform routing and strategy.

What data do I need to provide for automated lead qualification?

You need to provide inbound leads in a spreadsheet format like CSV. The Skill uses contact details, company attributes, and role information to match against ICP criteria and existing CRM data, producing a scored qualification report.