Domain Compression

Compress overlapping domain concepts into a minimal consistent vocabulary.

54|7|Updated Sep 19, 2021
One-click install
npx skills add https://github.com/Vrooli/Vrooli --skill domain-compression
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Domain Compression
Source: https://github.com/Vrooli/Vrooli/tree/main/scenarios/prompt-manager/store/skills/packs/core/domain-compression
Command: npx skills add https://github.com/Vrooli/Vrooli --skill domain-compression

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill trims redundant domain concepts, overlapping terminology, and drift across requirements and code so that scenario architecture stays aligned with its PRD and implementation.

Core Features & Use Cases

  • Domain Core Reconstruction: Read architecture documentation, PRDs, and technical targets to extract the minimal set of entities, actions, and states that capture the scenario.
  • Duplication Collapse: Spot repeated data shapes, names, or flows and unify them under a single expressive concept while keeping behavior intact.
  • Unified Flows and Documentation: Normalize terminology across layers, simplify redundant paths, and document the compressed model in docs/concepts/ARCHITECTURE.md for future agents.

Quick Start

Use Domain Compression to read the scenario docs and collapse redundant domain concepts into one consistent vocabulary.

Frequently Asked Questions about Domain Compression

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

FAQPage Schema
How do I consolidate overlapping domain concepts in technical requirements?

Consolidate overlapping domain concepts by extracting the minimal set of entities, actions, and states from technical requirements, then renaming duplicate entities to unify terminology while keeping behavior intact. This ensures scenario architecture stays aligned with its PRD and implementation.

What is domain modeling terminology drift and how does it affect scenario architecture?

Domain modeling terminology drift occurs when duplicate data shapes, names, or flows diverge across requirements and code. It causes scenario architecture incoherence, requiring duplication collapse to unify redundant paths under a single expressive concept without regressing functionality.

How do I unify duplicate data shapes and flows without regressing functionality?

Unify duplicate data shapes and flows by spotting repeated structures across layers and renaming duplicate entities under a single expressive concept. Document the collapsed domain model in docs/concepts/ARCHITECTURE.md to maintain consistent names and shapes without regressing functionality.

When do I need to compress domain concepts from a PRD?

Compress domain concepts from a PRD when analyzing architecture documentation reveals overlapping terminology and redundant paths. Apply domain core reconstruction to extract minimal entities, actions, and states, ensuring actors and flows share consistent names across layers.

Does domain compression work for normalizing terminology across architectural layers?

Domain compression normalizes terminology across architectural layers by reading scenario docs and collapsing redundant domain concepts into one consistent vocabulary. It simplifies redundant paths and updates data shapes so actors, flows, and states remain coherent.

What are the limitations of compressing domain concepts in scenario analysis?

The limitation of compressing domain concepts is that behavior must remain intact during duplication collapse. You must document the collapsed model and update data shapes and flows carefully to avoid regressing functionality when renaming duplicate entities across layers.