Is this limited to software companies?

No, while it is excellent at analyzing tech stacks, it can be used to find leads across any industry or geographic location based on your specific criteria.

Can this skill analyze my source code to find leads?

Yes, when run within a repository, the skill can analyze your code to understand your product's features and value proposition, using that context to find the most relevant leads.

How does the lead prioritization work?

It assigns a fit score from 1-10 for each lead based on factors like alignment with your ICP, signals of immediate need (like job postings), and the competitive landscape.

Can I export the lead research results?

Yes, you can instruct the skill to format its output as a CSV or markdown table, making it easy to import the data into your CRM or spreadsheet.

Does it provide direct contact information?

It identifies the company, website, and specific decision-maker roles (such as VP of Engineering) and provides LinkedIn URLs where available to facilitate outreach.

Lead Research Assistant

Name: Lead Research Assistant
Author: bigadamknight

bybigadamknight

Marketing Automation

Identifies high-quality business leads by analyzing your product and providing actionable outreach strategies.

About

The Lead Research Assistant helps sales and business development professionals automate the discovery of potential customers and partners. By analyzing your codebase or product description, the skill defines your Ideal Customer Profile (ICP), identifies target companies across specific industries and locations, and ranks them based on business fit. It goes beyond simple list-building by providing personalized outreach strategies, identifying key decision-maker roles, and suggesting specific value propositions to streamline your sales pipeline development directly from your development environment.

Key Features

Actionable contact strategies with personalized value propositions
Automated ICP definition based on codebase or product analysis
Lead scoring and prioritization based on relevance and growth signals
Targeted lead discovery across industries, company sizes, and tech stacks
Data enrichment including decision-maker roles and LinkedIn context
0 GitHub stars

Use Cases

Researching high-fit accounts for account-based marketing (ABM) campaigns
Identifying potential strategic partners based on complementary technology stacks
Building a targeted B2B sales pipeline for a new software product

About

Key Features

Actionable contact strategies with personalized value propositions
Automated ICP definition based on codebase or product analysis
Lead scoring and prioritization based on relevance and growth signals
Targeted lead discovery across industries, company sizes, and tech stacks
Data enrichment including decision-maker roles and LinkedIn context
0 GitHub stars

Use Cases

Researching high-fit accounts for account-based marketing (ABM) campaigns
Identifying potential strategic partners based on complementary technology stacks
Building a targeted B2B sales pipeline for a new software product