lead-qualification

Qualify leads via structured questions and Apify LinkedIn enrichment with scoring.

1.1k|200|Updated Mar 2, 2026

Search Tags:#lead scoring #sales intelligence #sales automation #lead qualification #linkedin enrichment #ICP definition

Ready to run

npx skills add https://github.com/athina-ai/goose-skills --skill lead-qualification

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: lead-qualification
Source: https://github.com/athina-ai/goose-skills/tree/main/skills/capabilities/lead-qualification
Command: npx skills add https://github.com/athina-ai/goose-skills --skill lead-qualification

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of qualifying leads against custom criteria, saving sales teams time by focusing on the most promising prospects.

Core Features & Use Cases

Customizable Qualification: Define your ideal customer profile (ICP) through a guided intake process.
Batch Lead Scoring: Enrich leads with LinkedIn data and score them in parallel for efficiency.
Output & Integration: Export qualified leads to Google Sheets or CSV, with clear reasoning for each decision.
Use Case: A sales development representative can use this Skill to quickly qualify a list of 100 inbound leads from a webinar, ensuring they only spend time on prospects that meet their company's specific criteria.

Quick Start

Qualify leads for our outbound campaign using the provided Google Sheet URL.

Frequently Asked Questions about lead-qualification

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

FAQPage Schema

How do I automate lead qualification and scoring for a list of inbound prospects?▼

You can automate lead qualification by defining custom criteria through a guided intake process, which generates a reusable prompt. The Skill then batch-enriches your leads via Apify LinkedIn scraping and outputs qualified or disqualified verdicts with confidence scores to Google Sheets or CSV.

What is the best way to score leads against a custom Ideal Customer Profile definition?▼

The best way to score leads against an ICP is to use a guided intake process to define your specific criteria, generating a reusable prompt. This allows batch-enriching leads with LinkedIn data to produce qualified or disqualified verdicts with reasoning.

Can I use LinkedIn enrichment data to batch score leads and export to Google Sheets?▼

Yes, you can use LinkedIn enrichment to batch score leads. The process enriches lead lists via Apify LinkedIn scraping, scores them in parallel, and exports the qualified results with confidence scores and reasoning directly to Google Sheets or CSV.

Do I need Apify to scrape LinkedIn data for automated lead scoring?▼

Yes, Apify is used as the dependency to scrape LinkedIn data for enriching the lead lists. This scraped data is necessary to evaluate the leads against your custom qualification criteria and generate confidence scores.

How does calibration mode work for refining a lead qualification prompt?▼

Calibration mode supports prompt refinement by allowing you to adjust the custom qualification criteria. This ensures the automated scoring accurately reflects your Ideal Customer Profile before batch processing the full lead list.

Why should I use automated lead scoring instead of manually qualifying prospects?▼

Automated lead scoring saves sales teams time by batch-enriching and evaluating prospects in parallel against custom criteria. It provides clear reasoning and confidence scores for each decision, ensuring reps only focus on the most promising qualified leads.