distill

Decompose broad models or workflows into smallest coherent units with recomposition paths.

20|3|Updated May 14, 2026
One-click install
npx skills add https://github.com/cyberAlchemyAI/Arcanum --skill distill-cyberalchemyai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: distill
Source: https://github.com/cyberAlchemyAI/Arcanum/tree/main/.claude/skills/distill
Command: npx skills add https://github.com/cyberAlchemyAI/Arcanum --skill distill-cyberalchemyai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Decomposes a broad model, architecture, design, or workflow into the smallest coherent unit that preserves meaning and can recombine into the larger system.

Core Features & Use Cases

  • Recursive decomposition of broad concepts into the smallest meaningful units with clear inputs and outputs.
  • Provides a recomposition path and traceability to the larger system for governance.
  • Supports structured decision-making and handoffs across planning, design, and implementation stages.

Quick Start

Provide a seed concept and target context, and Distill will decompose it into the smallest coherent unit with a recomposition path.

Frequently Asked Questions about distill

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

FAQPage Schema
How do I decompose a broad system architecture into the smallest coherent unit?

Decompose a broad system architecture by recursively breaking it into the smallest meaningful units that preserve meaning and can recombine. This structured reduction provides clear inputs, outputs, and traceability for governance.

What is concept decomposition and when do I need it for planning?

Concept decomposition is a structured reduction process that breaks broad models into minimal coherent units. You need it during planning, architecture, and implementation readiness to enforce multi-layered concept discipline and enable clear handoffs across teams.

How do I ensure traceability when breaking down a complex workflow?

Ensure traceability by applying a decomposition process that provides a recomposition path and closure checks. This verifies that the smallest coherent units can recombine into the larger system while maintaining governance.

Can I use structured decomposition for handoffs across design and implementation stages?

Yes, you can use structured decomposition for handoffs across design and implementation stages. It supports structured decision-making by reducing broad workflows into coherent units with defined inputs and outputs.

What is the best way to turn broad ideas into recomposable units?

The best way to turn broad ideas into recomposable units is to apply a structured reduction process with closure checks and recomposition proof. This guarantees the smallest coherent unit preserves meaning and can recombine into the larger system.