Buyer Universe Builder

SkillDev tools

Builds and maintains buyer lists with acquisition history, strategic fit

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Buyer Universe Builder skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/venture-capital/skills/buyer-universe-builder/SKILL.md and read by ahel’s review.

Overview

The Buyer Universe Builder skill creates and maintains comprehensive lists of potential acquirers for portfolio companies. It analyzes strategic fit, acquisition history, and buyer capacity to support exit planning and M&A execution.

Capabilities

Buyer Identification

Identify strategic acquirers
Map financial buyer landscape
Track international buyers
Monitor emerging acquirers

Acquisition History Analysis

Track historical M&A activity
Analyze acquisition patterns
Identify acquisition criteria
Monitor valuation tendencies

Strategic Fit Assessment

Evaluate product/technology fit
Assess geographic expansion rationale
Analyze customer base synergies
Consider talent acquisition angle

Buyer Prioritization

Rank buyers by likelihood
Score strategic fit
Assess financial capacity
Consider relationship factors

Usage

Build Buyer Universe

Input: Portfolio company profile
Process: Identify and categorize buyers
Output: Comprehensive buyer list

Analyze Acquirer

Input: Potential acquirer
Process: Deep dive on acquisition patterns
Output: Acquirer profile, fit assessment

Prioritize Buyers

Input: Buyer universe, prioritization criteria
Process: Score and rank buyers
Output: Prioritized buyer list

Track Market Activity

Input: Sector/segment focus
Process: Monitor M&A activity
Output: Market activity report

Buyer Categories

Category	Characteristics
Strategic - Large	Big tech, major players
Strategic - Mid	Mid-market acquirers
Private Equity	Financial buyers
International	Cross-border interest
Emerging	New entrant acquirers

Integration Points

Exit Readiness Assessment: Support exit planning
Exit Planner (Agent): Enable agent analysis
M&A Advisor (Agent): Support execution
Comparable Transaction Finder: M&A precedents

Fit Assessment Criteria

Criterion	Evaluation Points
Product	Technology fit, roadmap acceleration
Market	Customer overlap, geographic expansion
Team	Talent acquisition, leadership
Financial	Revenue synergies, cost savings
Strategic	Competitive defense, platform

Best Practices

Maintain buyer lists proactively
Track buyer behavior over time
Consider non-obvious buyers
Monitor corporate development contacts
Update following market transactions

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: buyer-universe-builder
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter