allium

Capture domain behaviour as Allium Skill units with YAML frontmatter and markdown guidance.

1|Updated May 22, 2013
One-click install
npx skills add https://github.com/scottopell/dotfiles --skill allium-scottopell
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: allium
Source: https://github.com/scottopell/dotfiles/tree/main/home-dir-configs/claude/skills/allium
Command: npx skills add https://github.com/scottopell/dotfiles --skill allium-scottopell

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Allium helps teams encode and preserve software behaviour as precise, reusable specifications and governance around how to author and maintain them.

Core Features & Use Cases

  • Formal language for describing observable behaviour and its boundaries.
  • Structured frontmatter-driven Skill units that enable discovery, versioning, and tooling integration.
  • Guidance on how to elicit, distill, weed, and propagate specifications across projects.

Quick Start

Inspect a Skill directory's SKILL.md to verify it contains a YAML frontmatter with at least name and description, and then review the body for operational instructions.

Frequently Asked Questions about allium

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

FAQPage Schema
How do I encode domain behavior as a reusable specification for AI prompts?

You can capture domain behavior as structured Skill units using YAML frontmatter and markdown guidance. This format enforces frontmatter requirements, versioning, and component metadata to create precise, reusable specifications for AI prompts.

What is the best way to organize software behavior specifications for discovery?

Organizing software behavior specifications requires structured frontmatter-driven units with valid names and descriptions. Enforcing versioning and component metadata allows you to scope, validate, and organize skills for effective discovery and tooling integration.

How do I validate a Skill unit before using it for AI prompt governance?

To validate a Skill unit, inspect its SKILL.md file to verify it contains YAML frontmatter with at least a name and description. Then, review the markdown body to ensure it includes operational instructions and meets frontmatter requirements.

Can I use markdown and YAML to manage AI prompt governance across multiple projects?

Yes, you can manage AI prompt governance by authoring markdown and YAML frontmatter units. The system provides guidance to elicit, distill, weed, and propagate these specifications across multiple projects to maintain consistent behavior boundaries.

When do I need a formal specification language for AI prompt boundaries?

You need a formal specification language when your team must encode and preserve observable software behavior with strict boundaries. It helps define what behavior is in scope and ensures precise, reusable AI prompt governance across projects.

Does encoding AI prompts as Skill units require external dependencies?

Encoding AI prompts as Skill units requires no external dependencies. You only need to author YAML frontmatter and markdown guidance within a SKILL.md file to define, validate, and organize the specifications.