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Moat

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Quantified moat analysis for investment targets.

Finance & Accounting#unit-economics#ltv#cac#moat#competitor-benchmark#roic#switching-costs
Authorpynbj1001
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a rigorous, quantitative moat assessment workflow for investment targets, replacing ad-hoc qualitative judgments with data-driven moat validation.

Core Features & Use Cases

  • Enforces unit economics (LTV, CAC) and competitor ROIC benchmarking to determine moat strength.
  • Quantifies switching costs and analyzes network effects and pricing power to assess durability.
  • Use Case: Evaluate a SaaS company to decide whether its moat justifies investment, by comparing LTV/CAC and ROIC against top peers over five years.

Quick Start

Provide a target company name or ticker and I will run a quantified moat assessment end-to-end.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Moat
Download link: https://github.com/pynbj1001/alpha-sense/archive/main.zip#moat

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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