pricing-archetype-mapper

Transform domain pricing requirements into structured archetype models with component breakdowns.

40|39|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/Architekt-Jutra/architekt-jutra-code --skill pricing-archetype-mapper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pricing-archetype-mapper
Source: https://github.com/Architekt-Jutra/architekt-jutra-code/tree/main/week7/5-znanewzorce-demo/pricing-archetype-mapper
Command: npx skills add https://github.com/Architekt-Jutra/architekt-jutra-code --skill pricing-archetype-mapper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of designing inconsistent, un-auditable, or hard-to-maintain pricing systems by providing a standardized, structured archetype to model any computed price that depends on business context, with built-in support for versioning, component breakdown, and regulatory compliance.

Core Features & Use Cases

  • Structured Pricing Modeling: Transforms raw domain requirements into a complete, implementable pricing model with explicit component trees, calculator logic, and validity rules.
  • Context-Sensitive & Versioned: Supports time-dependent pricing, multi-stakeholder component breakdown, historical reproducibility, and eligibility conditions for complex B2B, regulated, or marketplace billing use cases.
  • Use Case: Ideal for teams designing pricing engines for SaaS platforms, utility billing, or multi-tenant marketplace systems where price changes must be fully auditable and old transactions reproducible.

Quick Start

Use the pricing-archetype-mapper skill to transform your EV charging station pricing requirements (including time-of-day discounts, per-kWh rates, and session fees) into a full, implementable pricing model with component breakdown and versioning rules.

Frequently Asked Questions about pricing-archetype-mapper

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

FAQPage Schema
How do I design a pricing engine that supports historical reproducibility for old transactions?

Design a pricing engine with structured archetype models that incorporate explicit versioning rules and component breakdowns. This ensures historical reproducibility by mapping domain rules to versioned pricing logic, allowing old transactions to be recalculated accurately regardless of current rate changes.

What is the best way to model multi-stakeholder billing systems with complex eligibility conditions?

Model multi-stakeholder billing systems by transforming raw domain requirements into a structured pricing archetype with full component breakdown. This approach explicitly handles eligibility conditions and maps domain concepts to engine constructs, ensuring consistent logic across all stakeholders.

How do I map domain rules to a structured pricing model without causing architectural drift?

Map domain rules to a structured pricing model by creating explicit mappings between domain concepts and pricing engine constructs. This eliminates architectural drift by enforcing component-level validity rules and standardized calculator logic throughout the implementation.

Can I use structured pricing archetypes for time-of-day rates and session fees in utility billing?

Yes, structured pricing archetypes support time-dependent pricing like time-of-day rates and session fees in utility billing. The model transforms these temporal and product dimensions into an implementable structure with full auditability and component validity rules.

Does this pricing model approach work for regulated industries requiring full auditability?

Yes, this approach works for regulated industries by providing a standardized archetype with built-in versioning, component breakdown, and regulatory compliance support. It ensures full auditability and historical reproducibility of price calculations for any regulated context.