How does it prioritize the leads it finds?

It uses a 1-10 scoring system based on alignment with your Ideal Customer Profile (ICP), signals of immediate need like job postings, and the current competitive landscape.

What kind of information does it provide for each lead?

It provides company details, website, priority score, target decision-maker roles, personalized value propositions, and specific outreach conversation starters.

Is this skill only for software companies?

No, while it can analyze code, it is equally effective for consulting, services, and local businesses based on a simple text description of what you offer.

Can this skill analyze my repository to find leads?

Yes, it can scan your codebase to understand your product's features and target audience, providing highly accurate lead matches based on the actual technology you are building.

Lead Research Assistant

Name: Lead Research Assistant
Author: hameed0342j

byhameed0342j

0•

Marketing Automation

Identifies and qualifies high-priority sales leads by analyzing your product's value proposition and searching for ideal customer profiles.

The Lead Research Assistant is a specialized Claude Code skill designed to streamline business development by transforming your product specifications or codebase into a targeted list of potential customers. It goes beyond simple searching by analyzing your unique value proposition, defining an Ideal Customer Profile (ICP), and identifying companies with specific pain points or technological needs that your solution addresses. For every lead, it provides actionable insights including priority scores, decision-maker roles, and personalized outreach strategies to increase conversion rates.

Key Features

01Prioritized lead scoring (1-10) based on growth signals, hiring, and technology needs

02Detailed contact strategy generation including decision-maker roles and conversation starters

03Data enrichment with company context and LinkedIn discovery links

040 GitHub stars

05In-depth Ideal Customer Profile (ICP) definition based on industry, size, and tech stack

06Automated product and codebase analysis to determine core value propositions

Use Cases

01Building a targeted list of outreach candidates for specialized consulting practices

02Identifying strategic partners and target accounts for B2B sales development

03Finding potential enterprise clients for a new software-as-a-service product

Key Features

01Prioritized lead scoring (1-10) based on growth signals, hiring, and technology needs

02Detailed contact strategy generation including decision-maker roles and conversation starters

03Data enrichment with company context and LinkedIn discovery links

040 GitHub stars

05In-depth Ideal Customer Profile (ICP) definition based on industry, size, and tech stack

06Automated product and codebase analysis to determine core value propositions

Use Cases

01Building a targeted list of outreach candidates for specialized consulting practices

02Identifying strategic partners and target accounts for B2B sales development

03Finding potential enterprise clients for a new software-as-a-service product