prd-v02-product-type-classification_skill

This skill classifies a product approach into Clone, Unbundle, Undercut, Slice, Wrapper, or Innovation based on competitive landscape.
  • Python

17

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

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Installation

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npx veilstrat add skill mattgierhart/prd-driven-context-engineering --skill prd-v02-product-type-classification

  • SKILL.md5.1 KB

Overview

This skill classifies a proposed product approach into one of six types—Clone, Unbundle, Undercut, Slice, Wrapper, or Innovation—based on competitive landscape evidence. It runs after a v0.2 competitive analysis or when a team asks strategy questions like “clone or innovate?” or “is this a fast-follow opportunity?”. The output is a concise BR- style classification plus inherited GTM constraints to guide v0.3 outcome and go-to-market decisions.

How this skill works

The skill inspects v0.2 competitive landscape artifacts for specific signals: market leaders, platform breadth, pricing gaps, ecosystem presence, API/data access, and severity of user pain. It follows a decision flow that sequences checks (horizontal platform → single-purpose leader → platform ecosystem → integration gaps → broken solutions) and maps the highest-confidence match to a product type. It then emits a BR-style classification with confidence, primary evidence references, rationale, and the type-derived GTM constraints.

When to use it

  • After completing v0.2 competitive landscape research
  • When deciding between cloning, unbundling, undercutting, or innovating
  • If you need to anchor MVP scope, pricing, or channel choices
  • When assessing feasibility of marketplace plugins or API middleware
  • Before drafting v0.3 outcome metrics and GTM playbook

Best practices

  • Supply concrete evidence: revenue signals, MAU, price benchmarks, API docs
  • Follow the decision flow sequentially to avoid false positives
  • Require higher confidence for Slice/Wrapper/Undercut classifications
  • Avoid labeling something 'Innovation' if competitor revenue exists
  • Document primary evidence references for traceable rationale

Example use cases

  • Team asks “should we clone or innovate?” and needs a recommended path and confidence level
  • Competitive review shows a large horizontal platform; skill recommends Unbundle with supporting evidence
  • Market has a single leader; skill assesses whether a 60%+ price play supports Undercut
  • Product lives inside an ecosystem with an app store; skill suggests Slice and lists marketplace constraints
  • Toolset lacks an integration layer and APIs are available; skill outputs Wrapper plus API feasibility notes

FAQ

You need clear failed alternatives, severe customer pain, and budget willingness; confidence threshold is very high (≈85%).

Can the skill switch a classification after new evidence?

Yes—rerun after updating the v0.2 landscape. The decision flow and confidence thresholds will adapt the result.

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