Type Vocabulary for Specifications

Create a standardized type vocabulary for Fireball specification documentation.

1|Updated Dec 2, 2025
One-click install
npx skills add https://github.com/kmt-t/fireball --skill type-vocabulary-for-specifications
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Type Vocabulary for Specifications
Source: https://github.com/kmt-t/fireball/tree/main/.agent/skills/fireball_vocabulary
Command: npx skills add https://github.com/kmt-t/fireball --skill type-vocabulary-for-specifications

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a standardized, implementation-agnostic vocabulary for describing types in Fireball specifications, ensuring consistent terminology across design docs, APIs, and architecture artifacts.

Core Features & Use Cases

  • Unified vocabulary: defines neutral, implementation-independent type names and lifecycle semantics to reduce ambiguity.
  • Documentation alignment: links vocabulary to frontmatter conventions, API descriptions, and lifecycle rules, facilitating traceability between docs and code.
  • Use Case: When drafting a new module interface, use this vocabulary to name data structures and API types so teams share a common language.

Quick Start

To start, request a glossary entry for a sample data structure and demonstrate its lifecycle usage.

Frequently Asked Questions about Type Vocabulary for Specifications

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

FAQPage Schema
How do I standardize vocabulary for specifications to ensure documentation consistency?

Standardize vocabulary for specifications by defining implementation-agnostic type names and lifecycle semantics, reducing ambiguity across design docs and architecture artifacts. This approach ensures consistent terminology and links frontmatter conventions to code alignment.

What is the best way to align API descriptions with design docs and code?

Align API descriptions with design docs by linking vocabulary to frontmatter conventions and lifecycle rules, facilitating traceability between specifications and code. This method maintains documentation consistency across software engineering workflows.

How do I define lifecycle semantics for data structures in engineering specifications?

Define lifecycle semantics for data structures by creating neutral, implementation-independent vocabulary entries that describe type names and state transitions. This standardizes terminology for reliable design across API and architecture artifacts.

When do I need an implementation-agnostic vocabulary for module interface design?

You need an implementation-agnostic vocabulary for module interface design when drafting new data structures to ensure teams share a common language. It provides neutral type names, reducing ambiguity in specifications and supporting automated validation.

Does standardizing specification vocabulary support automated validation in software engineering?

Standardizing specification vocabulary supports automated validation by ensuring alignment between documentation and code through consistent frontmatter conventions. This enables reliable validation of API descriptions and lifecycle rules within engineering workflows.

Can I use a standardized type vocabulary to reduce ambiguity across architecture artifacts?

You can use a standardized type vocabulary to reduce ambiguity across architecture artifacts by defining unified, implementation-independent type names. This ensures consistent terminology across design docs, APIs, and specifications for reliable design.