Agent skill · product strategy · borghei
pricing-prd
Tactical PM PRD for pricing experiments and pricing-page launches. Pairs with business-growth/pricing-strategy. Covers packaging, willingness-to-pay, grandfathering, A/B design, rollback, regional pricing, and UX.
Why this skill is useful
Provides structured frameworks and guidelines for creating a pricing PRD that the AI wouldn't reliably generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Pricing PRD (Tactical) Overview A pricing PRD is the tactical artifact that converts a pricing strategy into a shipped change. Where business-growth/pricing-strategy/ decides "we are moving from per-seat to per-usage and adding an enterprise tier", a pricing PRD decides "here is the page, the experiment, the rollout, and the rollback". Most PMs underinvest in this artifact — they treat pricing as a marketing problem until the rollout breaks revenue. This skill is opinionated about the structure of a pricing PRD (distinct from a feature PRD), the discipline of pricing experiments (small samples + revenue sensitivity == high risk of false-positive readouts), grandfathering and communication (the most-often-skipped sections that cause the most damage), A/B testing pricing without confusing customers or violating consumer-law principles, and rollback criteria written in advance rather than improvised under pressure. The frameworks behind it: Patrick Campbell's "Pricing as a feature", Ramanujam's Monetizing Innovation, Van Westendorp's Price Sensitivity Meter, Reforge pricing experimentation, and Stripe's pricing-page patterns. Core Capabilities PRD structure — the 13-section pricing PRD: pricing model, packaging, grandfathering, communication plan, A/B design, rollback, regional pricing, on top of the standard PRD spine. Pricing model & packaging decisions — tier / usage / hybrid / per-seat / outcome-based selection with rationale; value carriers, tier boundaries, trial mechanisms. Willingness-to-pay research — Van Westendorp, conjoint, and revealed-preference experiments. Experiment discipline — hypothesis, primary metric, MDE, sample size, holdout, stop conditions, mix-shift detection. Risk management — grandfathering policy, multi-channel communication plan, pre-written rollback thresholds, regional/compliance decisions. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/pricing-prd