Do I need a specific tool to use this skill?

Yes, you must have the AnySite MCP server connected to your Claude Code environment with valid LinkedIn access credentials.

What is the AnySite ICP Builder skill?

It is a specialized capability for Claude Code that leverages the AnySite MCP to extract LinkedIn data, analyze customer patterns, and build comprehensive Ideal Customer Profiles (ICP).

How many customers should I provide for analysis?

For reliable pattern recognition and accurate scoring criteria, it is recommended to provide LinkedIn URLs for 5 to 15 of your best existing customers.

Can this skill help me find new leads?

Yes. After defining your ICP, the skill uses search strategies to find lookalike companies and decision-makers on LinkedIn that match your ideal criteria.

What kind of data does the ICP document include?

The generated document includes industry requirements, company size, geographic focus, primary buyer personas, and a 100-point prospect scoring model.

AnySite ICP Builder

Name: AnySite ICP Builder
Author: anysiteio

byanysiteio

•

营销自动化

Builds data-driven Ideal Customer Profiles and finds lookalike prospects using real-time LinkedIn data via AnySite MCP.

关于

AnySite ICP Builder automates the traditionally manual process of defining target markets by analyzing the LinkedIn profiles of your existing high-value customers. It extracts deep patterns in industry, company size, seniority, and professional behavior to generate a comprehensive ICP document, complete with a weighted prospect scoring model. This skill helps sales and marketing teams move beyond guesswork to data-backed strategy, identifying new high-fit leads that mirror their most successful accounts while providing the necessary context for personalized outreach.

主要功能

5 GitHub stars
Cross-profile pattern analysis for demographic and firmographic trends
Targeted lookalike prospect discovery based on validated customer data
Automated LinkedIn data extraction for individuals and companies
Automated generation of weighted lead scoring models and ICP documentation
Detailed buyer persona mapping including pain points and success metrics

使用场景

Refining existing sales targeting to improve lead-to-opportunity conversion rates
Developing a new go-to-market strategy for a startup or product launch
Scaling outbound sales efforts by finding lookalike accounts based on successful closed-won deals

关于

主要功能

5 GitHub stars
Cross-profile pattern analysis for demographic and firmographic trends
Targeted lookalike prospect discovery based on validated customer data
Automated LinkedIn data extraction for individuals and companies
Automated generation of weighted lead scoring models and ICP documentation
Detailed buyer persona mapping including pain points and success metrics

使用场景

Refining existing sales targeting to improve lead-to-opportunity conversion rates
Developing a new go-to-market strategy for a startup or product launch
Scaling outbound sales efforts by finding lookalike accounts based on successful closed-won deals