expert-profiler

name

expert-profiler

description

Build comprehensive profiles on experts, executives, and thought leaders for sales calls, podcast prep, pitches, and content creation. Use when the user wants to research a person, prepare for a meeting, find someone's digital footprint, or create a profile. Triggered by requests like "research [name]", "profile [person]", "prepare for a call with [name]", "find out about [executive]", or "who is [person]". Collects LinkedIn posts, tweets, YouTube interview transcripts, blog posts, and synthesizes into actionable intelligence.

Expert Profiler

Build comprehensive profiles on people by collecting their digital footprint and synthesizing it into actionable intelligence.

Prerequisites

Required: Apify MCP connection with API key configured.

The skill uses these Apify actors:

• apimaestro/linkedin-profile-posts - LinkedIn posts (no cookies required)
• apidojo/tweet-scraper - Twitter/X timeline
• starvibe/youtube-video-transcript - YouTube transcripts
• apify/rag-web-browser - Blog posts and web content

Workflow

Step 1: Identity Discovery

When given a name (and optional company/role/email), search the web to find their profiles.

Search queries to run:

"{name}" "{company}" linkedin
"{name}" "{company}" twitter
"{name}" site:youtube.com interview
"{name}" "{company}" podcast
"{name}" blog OR "{name}" writes OR "{name}" author

Present to user for confirmation:

• LinkedIn profile URL
• Twitter/X handle
• YouTube videos featuring them (top 3)
• Personal blog or publication URLs
• Any other relevant profiles (Drupal.org, GitHub, Medium, Substack)

Wait for user confirmation before proceeding. Ask: "Is this the right person? Confirm and I'll collect their content."

Step 2: Content Collection

After confirmation, collect content using Apify actors:

LinkedIn Posts (30):

Actor: apimaestro/linkedin-profile-posts
Input: {
  "username": "<linkedin-username>",
  "total_posts": 30
}

Twitter/X Posts (30):

Actor: apidojo/tweet-scraper
Input: {
  "twitterHandles": ["<handle>"],
  "maxItems": 30
}

YouTube Transcripts (top 3 interviews):

Actor: starvibe/youtube-video-transcript
Input: {
  "youtube_url": "<video-url>",
  "include_transcript_text": true
}

Run for each of the top 3 videos.

Blog Posts (last 10):

For each blog/publication URL identified:

1. First, fetch the blog index/archive page to identify the last 10 post URLs:

Actor: apify/rag-web-browser
Input: {
  "query": "<blog-url>",
  "maxResults": 1,
  "outputFormats": ["markdown"]
}

2. Extract individual post URLs from the index page

3. Fetch each of the last 10 blog posts:

Actor: apify/rag-web-browser
Input: {
  "query": "<individual-post-url>",
  "maxResults": 1,
  "outputFormats": ["markdown"]
}

Blog Collection Strategy:

• If blog has an archive page, use it to find recent posts
• If blog has RSS, look for /feed or /rss URL patterns
• For Medium: use medium.com/@{username}
• For Substack: use {publication}.substack.com/archive
• Collect full text of each post for synthesis

Step 3: Profile Synthesis

Analyze all collected content and create a comprehensive profile using the template in references/profile-template.md.

The profile should include:

1. Identity Summary - Who they are, roles, companies
2. Public Positions - What they believe and advocate (with sources)
3. Blog Positions - Deep analysis of their written thought leadership
4. Communication Style - How they talk, vocabulary, patterns
5. Key Stories - Signature anecdotes they repeat
6. Current Focus - What they're working on NOW
7. Potential Angles - How to connect based on their interests

Step 4: Deliver Profile

Create a markdown file with the full profile and present it to the user.

For different use cases, emphasize:

Use Case	Emphasize
Sales call	Pain points, current initiatives, decision-making style
Podcast prep	Stories they tell, contrarian positions, unexplored areas
Pitch/proposal	Their vocabulary, problems they care about, values
Blog/content	Quotable positions, frameworks they use, their audience

Output Location

Save the profile to /mnt/user-data/outputs/{name}-profile.md

Error Handling

• If LinkedIn scrape fails: Note in profile, continue with other sources
• If Twitter handle not found: Search for alternative handles, ask user
• If no YouTube interviews: Search for podcast appearances instead
• If blog not found: Note in profile, continue with other sources
• If blog posts fail to load: Try alternative URLs, note partial collection
• If Apify actor fails: Check API key, report specific error to user

Example Usage

User: "Research Chris Teitzel from Cellar Door for a podcast"

Claude:

1. Searches web for Chris Teitzel Cellar Door
2. Finds LinkedIn (christeitzel), Twitter (@technerdteitzel), YouTube videos, blog at cellardoor.com/blog
3. Presents links: "I found these profiles. Is this the right Chris Teitzel?"
4. User confirms
5. Collects 30 LinkedIn posts, 30 tweets, 3 video transcripts, 10 blog posts
6. Synthesizes into comprehensive profile with deep blog analysis
7. Delivers profile with podcast-specific angles

Reference Files

• references/profile-template.md - Full profile structure template
• references/apify-actors.md - Actor input/output schemas