account-qualification

Automate account qualification with three-level screening and FITS scoring.

58|25|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/kenny589/gtm-flywheel --skill account-qualification-kenny589
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: account-qualification
Source: https://github.com/kenny589/gtm-flywheel/tree/main/icp-research/account-qualification
Command: npx skills add https://github.com/kenny589/gtm-flywheel --skill account-qualification-kenny589

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematically evaluate whether a target account is worth pursuing. Scoring frameworks, qualification criteria, and prioritization models that prevent wasted outreach on bad-fit prospects.

Core Features & Use Cases

The Qualification Stack coordinates three levels of effort to balance speed and accuracy. Level 1: Automated Screening — Binary filters to remove obvious disqualifiers (e.g., company size, industry, geography, existing customers, duplicates, and email validity). Level 2: Enriched Scoring — A composite FITS score across four dimensions: Firmographic Fit, Intent Signals, Technographic Match, and Structural Readiness, with a defined 0-100 range and tier mapping. Level 3: Deep Qualification — For Tier 1 targets, produce a full account brief and recommended outreach approach to guide strategy and messaging.

Quick Start

Import your target accounts list, run Level 1 automated screening to remove disqualifiers, then run Level 2 FITS scoring to assign tiers.

Frequently Asked Questions about account-qualification

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

FAQPage Schema
How do I automate account qualification and lead scoring for outbound campaigns?

Account qualification automates lead scoring by applying a three-level stack: binary screening filters, composite FITS scoring, and deep qualification briefs to prioritize high-potential targets before outreach.

What is the best way to prioritize B2B sales accounts using ICP research?

Prioritize B2B accounts by evaluating Firmographic Fit, Intent Signals, Technographic Match, and Structural Readiness, generating a 0-100 score that maps targets into actionable tiers.

How do I remove bad-fit prospects from large outbound lists before enrichment?

Remove bad-fit prospects using Level 1 automated screening, applying binary filters for company size, industry, geography, existing customers, duplicates, and email validity.

Can I configure the weighting and qualification signals for my account scoring model?

Yes, the account scoring model supports configurable signals and weighting across its four scoring dimensions, allowing you to customize the composite FITS score to match your specific outbound prioritization criteria.

What happens to Tier 1 accounts after enriched scoring?

Tier 1 accounts enter Level 3 deep qualification, producing a full account brief and a recommended outreach approach to guide your messaging and engagement strategy.

When should I use a multi-level account qualification stack instead of basic filtering?

Use a multi-level qualification stack when you need to balance screening speed with scoring accuracy across large lists, preventing wasted outreach by systematically verifying target fit before deep engagement.