prd-v03-moat-definition

Classify competitor moat types and quantify switching costs into CFD-MOT and BR-TGT artifacts.

193|9|Updated Jul 10, 2025
One-click install
npx skills add https://github.com/mattgierhart/PRD-driven-context-engineering --skill prd-v03-moat-definition
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prd-v03-moat-definition
Source: https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v03-moat-definition
Command: npx skills add https://github.com/mattgierhart/PRD-driven-context-engineering --skill prd-v03-moat-definition

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

Moat research and targeting insights are often scattered across documents and teams. This skill consolidates analysis, flags moat types, quantifies switching costs, and outputs ready-to-publish CFD-MOT and BR-TGT entries to guide strategy.

Core Features & Use Cases

  • Moat taxonomy and strength classification for each competitor
  • Switching cost inventory with qualitative and quantitative signals
  • Targeting decision framework and wedge strategy drafting
  • Generation of CFD-MOT and BR-TGT artifacts and templates
  • References-based validation using v0.2 CFD data and template docs

Quick Start

Submit competitor data and CFD references to generate moat analyses and targeting rules.

Frequently Asked Questions about prd-v03-moat-definition

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze competitor moats and switching costs for product strategy?

Competitor moat analysis identifies and classifies each competitor's moat type and strength, quantifies switching costs using qualitative and quantitative signals, and outputs ready-to-publish moat analyses and targeting rules to guide market strategy.

What is the best way to classify competitive moat types across multiple rivals?

Classifying competitive moat types involves applying a moat taxonomy to each competitor, flagging their strength levels, and generating structured CFD-MOT artifacts with explicit evidence and risk signals for downstream integration.

Can I generate targeting rules and wedge strategies from competitive analysis data?

Yes, targeting rules and wedge strategies are drafted using a targeting decision framework that ingests competitor data and references, producing ready-to-publish BR-TGT artifacts that determine where to compete.

Do I need v0.2 CFD references to perform a moat analysis?

Yes, v0.2 CFD references and BR templates are required as scope inputs to validate moat research and generate the final CFD-MOT and BR-TGT artifacts with accurate evidence and risk signals.

How does moat analysis consolidate scattered competitive research into actionable strategy?

Moat analysis consolidates scattered competitor research by flagging moat types, quantifying switching costs, and generating structured CFD-MOT and BR-TGT entries that provide explicit evidence and risk signals to guide targeting strategy.

When should I not use a moat taxonomy framework for competitive analysis?

A moat taxonomy framework should not be used when you lack sufficient competitor data or v0.2 CFD references, as the analysis requires explicit evidence and risk signals to produce valid targeting rules.