lead-research-assistant

Analyze product and ICP to generate prioritized lead lists with outreach strategies.

5|Updated Aug 9, 2025
One-click install
npx skills add https://github.com/gatovillano/KogniTerm --skill lead-research-assistant-gatovillano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lead-research-assistant
Source: https://github.com/gatovillano/KogniTerm/tree/main/.kilocode/skills/lead-research-assistant
Command: npx skills add https://github.com/gatovillano/KogniTerm --skill lead-research-assistant-gatovillano

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The skill helps businesses identify and qualify potential leads efficiently by analyzing your product, defining an ideal customer profile, and formulating actionable outreach strategies.

Core Features & Use Cases

  • Understands your product and ICP to identify suitable target accounts
  • Finds companies matching industry, size, location, tech stack, growth, and pain points
  • Prioritizes leads with a fit score and relevance
  • Provides outreach strategies and identifies decision-makers to target
  • Enriches data with context for tailored outreach

Quick Start

Describe your product, ICP, and constraints to generate a ranked list of top leads with outreach strategies.

Frequently Asked Questions about lead-research-assistant

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

FAQPage Schema
How do I identify high-potential B2B leads that match my ideal customer profile?

To identify high-potential B2B leads, analyze your product and ideal customer profile to find companies matching target industry, size, location, tech stack, and pain points. This process outputs a prioritized list of target accounts with decision-maker contacts and tailored outreach strategies.

What is the best way to qualify B2B target accounts and enrich them for sales outreach?

Qualifying B2B target accounts involves scoring them against your ideal customer profile and enriching the data with contextual relevance. This produces structured sales enrichment data, including company name, site, fit score, decision-maker roles, and a specific value proposition for tailored outreach.

Can I generate an outreach strategy for specific decision-makers within my target accounts?

Yes, you can generate an outreach strategy for specific decision-makers by analyzing your product value proposition alongside the target account's pain points. The output identifies the exact role to target and provides a tailored outreach plan for that decision-maker.

How does lead research scoring work when prioritizing companies by tech stack and growth signals?

Lead research scoring works by evaluating how closely a company's tech stack, growth trajectory, and operational pain points align with your defined ideal customer profile. This generates a quantitative fit score to prioritize high-relevance target accounts for business development.

What data do I need to provide to start researching and qualifying B2B leads?

To start researching and qualifying B2B leads, you need to provide a description of your product, your ideal customer profile, and any specific constraints such as target industry, company size, or location. This generates a ranked list of top leads with outreach strategies.