Does it support technology stack validation?

Yes, it verifies that the defined technology stack (languages, frameworks, databases) is coherent and follows valid schema constraints.

What file formats does AC Spec Parser support?

The skill supports YAML (.yaml, .yml), JSON (.json), and Markdown (.md) files, allowing you to use both machine-readable and human-readable formats.

How does this help with autonomous coding workflows?

It converts human-readable goals into structured data that AI models use to generate feature lists and perform complexity assessments accurately.

Can it detect missing requirements in my project?

Yes, it validates specifications against a strict schema that requires at least one functional requirement and a valid project name.

AC Spec Parser

Name: AC Spec Parser
Author: adaptationio

byadaptationio

Developer Tools

Parses and validates project specifications to bridge the gap between human requirements and autonomous coding execution.

About

AC Spec Parser is a specialized utility designed to transform unstructured or semi-structured project specifications from YAML, JSON, and Markdown formats into high-fidelity data models for AI-driven development. By enforcing strict schema validation on project goals, functional requirements, and technology stacks, it ensures that downstream coding agents have a clear and consistent roadmap for feature generation, complexity estimation, and implementation planning.

Key Features

ID-based requirement tracking with priority levels and acceptance criteria
0 GitHub stars
Normalization of specification data for downstream AI feature generation
Multi-format support for YAML, JSON, and Markdown specification files
Automated schema validation for requirements, constraints, and tech stacks
Comprehensive technology stack consistency and coherency checking

Use Cases

Validating project constraints and technology choices before code generation begins
Automating the translation of human-written PRDs into developer-ready task lists
Standardizing diverse specification formats for consistent team-wide processing

About

Key Features

ID-based requirement tracking with priority levels and acceptance criteria
0 GitHub stars
Normalization of specification data for downstream AI feature generation
Multi-format support for YAML, JSON, and Markdown specification files
Automated schema validation for requirements, constraints, and tech stacks
Comprehensive technology stack consistency and coherency checking

Use Cases

Validating project constraints and technology choices before code generation begins
Automating the translation of human-written PRDs into developer-ready task lists
Standardizing diverse specification formats for consistent team-wide processing