Pricing Model Selection

Pricing Model Selection is an AI Engineering skill for Claude Code, published by mattgierhart in PRD-driven-context-engineering.

182 stars10 forkson mattgierhart/PRD-driven-context-engineeringAdded 2026/09/07Repository updated 2026/08/31

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agent-skillsagentic-codingai-agentsai-assistedclaudeclaude-codeclaude-code-skillscontext-engineeringdeveloper-toolsprdproduct-developmentproduct-managementproductivityspec-driven-developmenttemplatesworkflow

Install in seconds

Install Pricing Model Selection

Copy Pricing Model Selection into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/.claude/skills/prd-v03-pricing-model ~/.claude/skills/prd-v03-pricing-model

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/mattgierhart/PRD-driven-context-engineering.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/prd-v03-pricing-model/SKILL.md in mattgierhart/PRD-driven-context-engineering
Installs to: ~/.claude/skills/prd-v03-pricing-model
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3475 skills

What Pricing Model Selection does

Pricing Model Selection chooses and validates a pricing model for a PRD’s commercial plan. Use it to set tiers, pricing floors, competitive positioning, and willingness-to-pay checks when deciding what to charge.

Pricing Model Selection is cataloged under AI Engineering on DirSkills. Pricing Model Selection comes from a repository tagged agent-skills, agentic-coding, ai-agents, ai-assisted and claude.

Documentation

README

Excerpt

Pricing Model Selection

Position in HORIZON workflow: v0.2 Product Type Classification → v0.3 Pricing Model Selection → v0.3 Moat Articulation

Consumes

This skill requires prior work from v0.2-v0.3:

BR-* product type entry (from Product Type Classification) — Determines which pricing model makes sense
CFD-* competitive intelligence entries (from Competitive Landscape Mapping) — Competitor pricing, WTP signals
BR-* moat entries (from Moat Definition, parallel v0.3 work) — Price as potential moat element
KPI-* outcome entries (from Outcome Definition, parallel v0.3 work) — Success metrics tied to pricing
Cost structure estimates (from own analysis) — Unit economics to validate price floors

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Pricing Model Selection

What else does mattgierhart publish alongside Pricing Model Selection?
Pricing Model Selection is one of 25 skills that DirSkills catalogs from mattgierhart/PRD-driven-context-engineering, the repository it ships in. Its siblings there include Architecture Design, Competitive Landscape Mapping and Environment Setup. Each one is a separate skill with its own page in this directory, installs the same way Pricing Model Selection does, and is maintained by mattgierhart in that same repository. The rest of the collection is listed on the mattgierhart/PRD-driven-context-engineering page.
How does Pricing Model Selection compare to other AI Engineering skills?
Pricing Model Selection ranks #3069 by stars among the 3475 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Pricing Model Selection against them. Open each page to compare what they document and how they install.