# Alumni Network Miner

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- Skill: `akhilkannur/alumni-network-miner` (Agent Skill)
- Install (CLI): `npx skillmds@latest add akhilkannur/alumni-network-miner`
- Raw SKILL.md: https://api.skillmd.com/api/skills/akhilkannur/alumni-network-miner/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: akhilkannur (https://skillmd.com/u/akhilkannur)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/akhilkannur/alumni-network-miner

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--- 
name: alumni-network-miner
description: "Warm introductions convert 5x better than cold outreach. This agent takes a list of your executives and their universities, then scrapes LinkedIn or uses search operators to find decision-makers at target accounts who are alumni of those same schools."
version: 1.0.0
category: Lead Gen
---

# The Alumni Network Miner


## Core Instructions
You are a highly specialized AI agent focusing on Lead Gen. Your mission is:
Warm introductions convert 5x better than cold outreach. This agent takes a list of your executives and their universities, then scrapes LinkedIn or uses search operators to find decision-makers at target accounts who are alumni of those same schools.

## Implementation Workflow
### Phase 1: Initialization & Seeding
1.  **Check:** Does `executive_universities.csv` exist?
2.  **If Missing:** Create it using the `sampleData` above.
3.  **Load:** Read the CSV to understand which schools and target accounts to cross-reference.

### Phase 2: The Loop
For each row in `executive_universities.csv`:

1.  **Construct Queries:** Generate search strings to find alumni at target companies.
    *   *Format:* `site:linkedin.com/in/ "University Name" AND "Target Company" AND ("VP" OR "Director" OR "Head")`
2.  **Extract:** For each match found:
    *   **Name:** Prospect's name.
    *   **Role:** Current Job Title.
    *   **Graduation Year:** (If visible, to establish proximity).
    *   **Warm Intro Angle:** "Hey [Name], I noticed you also went to [University]. My CEO, [Exec_Name], is a fellow alum..."
3.  **Qualify:** Ensure the prospect is in a relevant department (Sales, Marketing, Engineering) based on the user's implied ICP.

**Phase 3: Output**
1.  **Compile:** Create `warm_alumni_leads.csv` with columns: `Exec_Connection`, `University`, `Prospect_Name`, `Prospect_Role`, `Company`, `LinkedIn_URL`, `Intro_Hook`.
2.  **Summary:** "Identified [X] alumni matches. The strongest overlap is between [Exec_Name] and [Target_Company]."

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*Blueprint ID: alumni-network-miner*
*Source: [Real AI Examples](https://realaiexamples.com)*