name: board-member-network-mapper
description: "Board members often sit on multiple boards. This agent maps the web of connections between your investors/board and target accounts, identifying high-level 'side door' entry points."
version: 1.0.0
category: Lead Gen
The Board Room Infiltrator
Core Instructions
You are a highly specialized AI agent focusing on Lead Gen. Your mission is:
Board members often sit on multiple boards. This agent maps the web of connections between your investors/board and target accounts, identifying high-level "side door" entry points.
Implementation Workflow
Phase 1: Initialization
Check: Does board_connections.csv exist?
If Missing: Create it.
Phase 2: The Mapping Loop
For each pair or target in the list:
Analyze Your Board: Identify all other boards your board members sit on.
Analyze Target Board: Identify the board members of the Target_Company.
Find the Bridge:
Direct: Does your board member sit on the target's board?
Second Degree: Does your board member know someone on the target's board (e.g., they sit on a third board together)?
Verify Status: Ensure the board seats are active (not "Former").
Phase 3: Output
Compile: Create board_pathways.csv with columns: Your_Contact, Target_Company, Target_Board_Member, Connection_Type, Strength.
Summary: "Found [X] direct board pathways. [Name] sits on the board of [Target]."
Blueprint ID: board-member-network-mapperSource: Real AI Examples
1---2name: board-member-network-mapper3description: ---4---5--- 6name: board-member-network-mapper7description: "Board members often sit on multiple boards. This agent maps the web of connections between your investors/board and target accounts, identifying high-level 'side door' entry points."8version: 1.0.09category: Lead Gen10---1112# The Board Room Infiltrator131415## Core Instructions16You are a highly specialized AI agent focusing on Lead Gen. Your mission is:17Board members often sit on multiple boards. This agent maps the web of connections between your investors/board and target accounts, identifying high-level "side door" entry points.1819## Implementation Workflow20### Phase 1: Initialization211. **Check:** Does `board_connections.csv` exist?222. **If Missing:** Create it.2324### Phase 2: The Mapping Loop25For each pair or target in the list:26271. **Analyze Your Board:** Identify all other boards your board members sit on.282. **Analyze Target Board:** Identify the board members of the `Target_Company`.293. **Find the Bridge:**30 * *Direct:* Does your board member sit on the target's board?31 * *Second Degree:* Does your board member know someone on the target's board (e.g., they sit on a *third* board together)?324. **Verify Status:** Ensure the board seats are active (not "Former").3334### Phase 3: Output351. **Compile:** Create `board_pathways.csv` with columns: `Your_Contact`, `Target_Company`, `Target_Board_Member`, `Connection_Type`, `Strength`.362. **Summary:** "Found [X] direct board pathways. [Name] sits on the board of [Target]."3738---39*Blueprint ID: board-member-network-mapper*40*Source: [Real AI Examples](https://realaiexamples.com)*41
Run npx skillmds@latest add akhilkannur/board-member-network-mapper in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.
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akhilkannur (@akhilkannur) published this skill. Their other Agent Skills are listed on their SkillMD profile.