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analyzing-dtc-stores

Analyze a DTC store URL and generate a 16-section markdown teardown report.

7|1|Updated Apr 7, 2026
Search Tags:#market-research#competitive-analysis#investor#teardown#dtc
One-click install
npx skills add https://github.com/Agent-Engineer-Master/skill-engineer --skill analyzing-dtc-stores
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyzing-dtc-stores
Source: https://github.com/Agent-Engineer-Master/skill-engineer/tree/main/marketing/analyzing-dtc-stores
Command: npx skills add https://github.com/Agent-Engineer-Master/skill-engineer --skill analyzing-dtc-stores

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, openai, and includes scripts (resource) and references (resource) components.

What problem does it solve?

DTC teardowns require gathering signals from multiple sources and structuring them into an actionable report. This Skill automates that process to deliver an investor-grade teardown ready for review.

Core Features & Use Cases

  • Produces a self-contained teardown report covering brand, market, unit economics, supply chain, channel mix, marketing, reviews, and AI-readiness.
  • Triggers: dtc teardown, brand teardown, store teardown, competitor teardown, investor memo on [brand], break down [store url].
  • Enforces ImportYeti presence in sources, validates the 16-section structure, and returns a draft ready for the validator.

Quick Start

Provide a store URL and a concise prompt describing the analysis you want; the Skill will run reconnaissance, fetch signals, generate the teardown, and run the validator.

Frequently Asked Questions about analyzing-dtc-stores

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

FAQPage Schema
How do I generate an investor-grade DTC brand teardown report from a store URL?▼

To generate an investor-grade DTC teardown, input a store URL and a concise prompt. The Skill fetches signals from multiple sources and structures them into a 16-section markdown report covering branding, unit economics, supply chain, and risks.

What sections are included in a DTC store teardown analysis?▼

A DTC store teardown analysis includes 16 sections: branding, market, unit economics, supply chain, channel mix, marketing, reviews, AI-readiness, risks, and a falsifiable verdict. All numeric claims must be sourced or marked as estimates.

Can I use ImportYeti data for supply chain analysis in a brand teardown?▼

Yes, ImportYeti data is required for supply chain analysis in a brand teardown. The Skill enforces ImportYeti presence in the Sources section and validates the overall 16-section structure before returning the final investor memo.

Does the DTC teardown validator check for sourced numeric claims?▼

Yes, the DTC teardown validator checks that all numeric claims are sourced or clearly marked as estimates. It also enforces the 16-section structure and ImportYeti presence in Sources to ensure the report meets investor-grade standards.

What is the best way to analyze a competitor DTC store for investment research?▼

The best way to analyze a competitor DTC store is to trigger the Skill with prompts like "investor memo on [brand]" or "competitor teardown". It runs reconnaissance, fetches market signals, and outputs a structured markdown report with a falsifiable verdict.

Do I need an OpenAI API key to run a DTC store teardown?▼

Yes, you need an OpenAI API key and the requests library to run a DTC store teardown. These dependencies enable the Skill to fetch external data signals and generate the structured investor-grade markdown report.

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