Does it provide contact information for decision-makers?

While it doesn't provide private emails, it identifies the correct roles to target (e.g., VP of Engineering) and provides LinkedIn URLs for easier connection and outreach.

Can this skill analyze my repository to find leads?

Yes, when run inside a code directory, it can analyze your source code to better understand your product features and find leads that specifically benefit from your technology.

How does the Lead Research Assistant identify potential leads?

It analyzes your product's value proposition and searches for companies matching your target industry, size, and technology stack while looking for growth signals like funding or hiring.

Lead Research Assistant

Name: Lead Research Assistant
Author: ComposioHQ

byComposioHQ

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7,895

Automatización de Marketing

Identifies and qualifies high-priority sales leads by analyzing your product offering and target market criteria.

Acerca de

Lead Research Assistant is a specialized Claude Code skill designed to automate the discovery and qualification of potential B2B customers. By analyzing your business model—or even your source code—the skill defines your Ideal Customer Profile (ICP) to find companies that match your specific technological and business requirements. It delivers prioritized lists complete with fit scores, decision-maker identification, and personalized outreach strategies to accelerate your sales and business development efforts.

Características Principales

Prioritized lead scoring (1-10) for focus on high-intent prospects
7,895 GitHub stars
Automated ICP generation from codebase or description
Personalized outreach strategies and conversation starters
Data enrichment including decision-maker roles and LinkedIn URLs
Targeted lead discovery based on tech stack and industry

Casos de Uso

Generating personalized outreach strategies for niche markets
Researching enterprise partners for technical integrations
Building a high-intent prospect list for new SaaS products

Acerca de

Características Principales

Prioritized lead scoring (1-10) for focus on high-intent prospects
7,895 GitHub stars
Automated ICP generation from codebase or description
Personalized outreach strategies and conversation starters
Data enrichment including decision-maker roles and LinkedIn URLs
Targeted lead discovery based on tech stack and industry

Casos de Uso

Generating personalized outreach strategies for niche markets
Researching enterprise partners for technical integrations
Building a high-intent prospect list for new SaaS products