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What is Person Analyzer?

The Person Analyzer skill is a powerful intelligence gathering tool that creates comprehensive profiles of individuals by combining LinkedIn data, web research, and strategic analysis. Perfect for sales prospecting, partnership evaluation, investor research, and talent assessment.

Prerequisites

Before using this skill, ensure you have:

Install AnySite MCP Server

The Person Analyzer skill requires AnySite MCP Server with active subscription

Learn About Skills

New to Claude Desktop Skills? Read the complete guide on how to install and use skills

Download Person Analyzer Skill

Download Person Analyzer Skill

Click to download the Person Analyzer skill file

Installation

  1. Download the skill file using the button above
  2. Upload to Claude Desktop (drag and drop or use upload button)
  3. Skill is ready - Start analyzing people immediately

Overview

The Person Analyzer skill performs multi-source intelligence gathering and analysis:
  • LinkedIn Profile Data - Background, experience, skills, education
  • Activity Analysis - Posts, comments, reactions to understand engagement patterns
  • Company Intelligence - Company profile, posts, recent news
  • Web Research - Articles, interviews, conference appearances
  • Strategic Assessment - Evaluation for business value and connection strategy

What You’ll Get

The skill produces a comprehensive markdown report with:
Quick overview of who they are and why they matter to your business
Current role, experience history, education, network size, and key skills
Content themes, posting frequency, engagement patterns, and topics of interest
Company overview, recent news, funding information, and strategic context
External presence, publications, speaking engagements, and media mentions
Recommended topics, engagement approach, best communication channels, and ice-breakers
ICP fit assessment, priority tier (1-4), and specific action items

Usage Examples

Starting with LinkedIn URL

The simplest way to use the skill:
Analyze this person: https://www.linkedin.com/in/john-smith/

Starting with Name + Context

If you don’t have a LinkedIn URL, provide context:
Analyze Alex Johnson, VP of Engineering at TechCorp, based in San Francisco

Quick Analysis

For faster results when you need basic information:
Do a quick analysis of Jane Doe (CTO at DataAI)

Deep Dive Analysis

For high-value targets requiring comprehensive intelligence:
Do a deep dive analysis on this LinkedIn profile: [URL]
I need comprehensive intelligence for an investor meeting

Analysis Depths

The skill supports three levels of analysis depth:

Quick

1-5 minutes
  • Profile overview
  • Recent posts (10-20)
  • Company basics
  • Quick assessment

Standard

5-10 minutes (Default)
  • Full profile details
  • Posts analysis (20-50)
  • Company research
  • Web intelligence
  • Strategic recommendations

Deep Dive

10-20 minutes
  • Extended post analysis (100+)
  • Deep web research
  • Comprehensive company intel
  • Detailed connection strategy
  • Priority assessment

Key Features

Multi-Source Intelligence

The skill gathers data from multiple sources:
  • LinkedIn Profile - Complete professional history, education, skills
  • LinkedIn Activity - 20-50 recent posts for content themes
  • Engagement Patterns - Comments and reactions to understand style
  • Company Context - Company profile and recent posts
  • Web Presence - Search results, articles, interviews, conferences

Strategic Assessment

Evaluates people across four dimensions:
  1. Customer Potential - Does their company match AnySite ICP?
  2. Partnership Potential - Integration or channel opportunities?
  3. Network Value - Influence level and connection quality?
  4. Advisory/Talent Value - Expertise for advising or future hire?

Conversation Strategy

Provides specific, actionable recommendations:
  • Top 3-5 conversation topics based on their actual posts
  • Best engagement channel and timing
  • Specific ice-breaker suggestions
  • How to position AnySite’s value proposition

Priority Tiering

Automatically classifies people into 4 tiers:
1

Tier 1: Hot Lead

Decision maker + ICP match + high engagementAction: Immediate personalized outreach
2

Tier 2: Warm Lead

Mid-level + ICP match OR significant influencerAction: Scheduled outreach within 1-2 weeks
3

Tier 3: Long-term Nurture

Potential future value, building relationshipAction: Add to nurture campaign
4

Tier 4: Low Priority

No clear fit with current objectivesAction: Passive monitoring only

AnySite ICP Focus

The skill is optimized for AnySite’s ideal customer profile:
  • Industries - B2B SaaS, AI/ML companies, data-intensive businesses
  • Company Size - 10-500 employees (sweet spot: 20-200)
  • Stage - Seed to Series B startups
  • Decision Makers - CTO, VP Engineering, Founders, Product Leads
  • Pain Points - Web scraping, API integrations, agent development

Advanced Usage

Customizing Analysis Depth

Do a quick analysis of [person] - I just need basic info
Deep dive on [LinkedIn URL] - analyzing for partnership opportunity

Specific Focus Areas

Analyze [person] with focus on their AI/ML expertise
Analyze [person] - I need to understand if they're a good fit for our Series A pitch

Behind the Scenes

The skill uses these AnySite MCP tools:

LinkedIn Tools

  • get_linkedin_profile
  • get_linkedin_user_posts
  • get_linkedin_user_comments
  • get_linkedin_user_reactions
  • get_linkedin_company
  • get_linkedin_company_posts

Web Research Tools

  • google_search
  • parse_webpage

Tips for Best Results

Provide context when starting with a nameInclude title, company, and location to help identify the right person:
Analyze John Smith, VP Engineering at TechCorp in San Francisco
Specify your purposeMentioning your goal helps adjust the analysis focus:
Analyze [LinkedIn URL] for partnership discussion
vs
Analyze [LinkedIn URL] for sales outreach
Request specific depth when time matters
  • Quick analysis for basic screening
  • Deep dive for high-value targets
Use the strategic recommendationsThe suggestions are based on actual data extracted from their posts and activity, not generic advice.

Example Output Preview

# Person Intelligence Report: John Smith

**Generated:** November 18, 2025
**Analysis Depth:** Standard
**Confidence Score:** 85%

## Executive Summary
John Smith is VP of Engineering at TechCorp (Series A AI startup, 80 employees).
Active LinkedIn contributor focused on AI agent development and MLOps. Strong ICP
match with decision-making authority. Tier 1 priority for immediate outreach.

## Professional Profile
- **Current Role:** VP Engineering at TechCorp (since Jan 2023)
- **Location:** San Francisco, CA
- **Experience:** 12 years in engineering leadership
- **Education:** MS Computer Science, Stanford
- **Network Size:** 3,200 connections

## Activity & Engagement Analysis
**Posting Frequency:** 3-4 times per week
**Primary Topics:**
1. AI Agent Infrastructure (35% of posts)
2. MLOps Best Practices (28% of posts)
3. Engineering Team Culture (20% of posts)

**Engagement Style:** Thoughtful commenter, shares practical insights

## Connection Strategy

### Recommended Conversation Topics
1. **AI Agent Infrastructure** - Posted 5 times about agent reliability challenges
2. **MLOps Best Practices** - Commented on 8 threads about model deployment
3. **TechCorp's Recent $15M Series A** - Acknowledge their growth milestone

### Engagement Approach
- **Best Channel:** LinkedIn comment on recent agent post
- **Timing:** Tuesday-Thursday mornings (most active)
- **Ice-breaker:** "Your post about agent reliability really resonated..."

### AnySite Value Proposition
Position AnySite as:
- Reliable data infrastructure for AI agents
- Scalable scraping for model training data
- API integrations to reduce engineering overhead

## Strategic Value Assessment
- **ICP Match:** 95% (Perfect fit)
- **Decision Authority:** High (VP Engineering)
- **Budget Signals:** Recent funding + team scaling
- **Priority Tier:** Tier 1 (Hot Lead)

### Recommended Actions
1. Engage on LinkedIn within 48 hours
2. Reference specific agent infrastructure post
3. Offer case study from similar AI startup
4. Schedule demo call for next week

Troubleshooting

Solutions:
  • Make sure you’re using Claude Desktop (not web version)
  • Check that the file extension is .skill
  • Try restarting Claude Desktop
  • Verify you have the latest Claude Desktop version
Solutions:
  • Verify that AnySite MCP Server is properly configured
  • Check your API key has sufficient credits
  • Some profiles may have limited public information
  • Try with a different, more public profile to test
Solutions:
  • Use “quick analysis” for faster results
  • Some LinkedIn profiles with extensive activity require more time
  • Deep dive analysis naturally takes 10-20 minutes
  • Check your internet connection speed
Solutions:
  • Ensure your AnySite API key is valid and not expired
  • Check MCP Server installation in settings
  • Verify the LinkedIn URL is publicly accessible
  • Try restarting Claude Desktop
Solutions:
  • Try different name variations (with middle name, without)
  • Add more context: company, location, title
  • Search manually on LinkedIn first, then provide exact URL
  • Check if person uses a different name professionally

Need Help?

Get Support

Contact our support team for assistance with Person Analyzer workflows

Created by: Andrew Kulikov, AnySite.io Version: 1.0 Last Updated: November 18, 2025