spec

Convert natural language requirements into machine-readable YAML specifications.

2|7|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/chidekina/aria-superpowers --skill spec-chidekina
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: spec
Source: https://github.com/chidekina/aria-superpowers/tree/main/skills/spec
Command: npx skills add https://github.com/chidekina/aria-superpowers --skill spec-chidekina

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts natural language requirements or PRDs into structured YAML specifications that are machine-readable and AI-optimized.

Core Features & Use Cases

  • Generates a formal YAML spec from PRDs and requirements
  • Defines domain models, endpoints, outputs, and constraints
  • Supports a Pact-lang inspired spec workflow to emit executable artifacts

Quick Start

Provide a PRD or requirements sentence and ask the AI to generate a YAML spec from it.

Frequently Asked Questions about spec

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

FAQPage Schema
How do I convert natural language requirements into a machine-readable YAML spec?

Yes, you can generate a YAML spec from a PRD by inputting the document directly; the system extracts the necessary domain models, operations, and validation rules to output a production-ready specification.

What is the best way to structure API endpoints and data models from plain text requirements?

The best way to structure API endpoints and data models from plain text requirements is using an automated spec generation workflow that parses your text and enforces explicit outputs, latency considerations, and error handling criteria into a formal YAML format.

Does this spec generation approach support validation rules and error handling criteria?

Yes, this spec generation approach supports validation rules and error handling criteria by enforcing explicit outputs and latency considerations during the transformation process, ensuring the final YAML spec is complete and production-ready.

Can I use a Pact-lang inspired workflow to emit executable artifacts from requirements?

Yes, you can use a Pact-lang inspired spec workflow to emit executable artifacts from requirements, transforming your PRDs into structured YAML specifications optimized for downstream tooling and execution.

What are the limitations of generating a YAML spec from natural language PRDs?

A limitation of generating a YAML spec from natural language PRDs is that the output's completeness depends heavily on the clarity of the input text; ambiguous requirements may result in incomplete domain models or missing endpoint constraints.