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reversa-pricing-size

Convert Reversa forward cycle artifacts into deterministic T-shirt sizing and complexity classes.

Updated May 13, 2026

Search Tags:#pricing #complexity scoring #deterministic output #planning artifacts #risk adjustment #feature sizing #structural metrics

Ready to run

npx skills add https://github.com/cliffthelin/AXiomEngine --skill reversa-pricing-size-cliffthelin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: reversa-pricing-size
Source: https://github.com/cliffthelin/AXiomEngine/tree/main/skills/reversa/reversa-pricing-size
Command: npx skills add https://github.com/cliffthelin/AXiomEngine --skill reversa-pricing-size-cliffthelin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It prevents guesswork in estimating feature scope by turning Reversa forward cycle artifacts into a deterministic structural size and complexity class you can use for pricing and planning.

Core Features & Use Cases

Deterministic T shirt sizing output: Reads requirements, doubts, plan, tasks from the forward cycle and produces size.json and size.md.
Risk adjusted complexity classification: Computes a base complexity class from task count and increases it using doubts and plan depth plus principles touched.
Recalculation safety: Detects an existing size.json and optionally archives it to a timestamped backup before rewriting.

Quick Start

Use the command /reversa-pricing-size to size the active feature and generate _reversa_sdd/_pricing/<feature>/size.json and size.md.

Frequently Asked Questions about reversa-pricing-size

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

FAQPage Schema

How do I deterministically size a feature for pricing using planning artifacts?▼

Deterministic feature sizing converts your forward cycle planning artifacts into a T shirt size and risk-adjusted complexity class for pricing. It reads requirements, doubts, plan, and tasks to produce structural metrics that eliminate guesswork.

What is risk-adjusted complexity classification in feature pricing?▼

Risk-adjusted complexity classification computes a base complexity class from your task count and increases it based on doubts, plan depth, and principles touched. This adjusted class is then used for accurate feature pricing and planning.

How do I calculate T shirt sizing metrics from requirements and plan documents?▼

Calculate T shirt sizing metrics by processing your requirements, doubts, plan, and tasks through a structural sizing workflow. It outputs a `size.json` file and a `size.md` document containing the deterministic metrics and complexity class.

Do I need specific state files to compute structural sizing metrics?▼

Yes, you need the `.reversa/state.json` file and forward cycle sizing references to compute structural sizing metrics. The workflow reads these inputs to atomically write the `size.json` and `size.md` output files following the required schema.

Can I recalculate an existing feature size without losing previous pricing data?▼

Yes, you can recalculate existing sizing artifacts safely. The process detects an existing `size.json` file and optionally archives it to a timestamped backup before rewriting the new structural sizing metrics and risk-adjusted complexity class.