How does this help Claude with coding tasks?

By structuring raw specifications into organized data, it allows Claude to accurately generate feature lists, analyze complexity, and plan implementation steps without missing constraints.

Can this skill validate my project requirements?

Yes, it enforces strict validation rules including required project names, unique requirement IDs, and valid priority levels to ensure specification quality.

Does it handle non-functional requirements?

Yes, the schema includes dedicated sections for non-functional requirements such as performance, security, and usability metrics.

Is AC Spec Parser compatible with other autonomous coding tools?

Yes, it is specifically designed to integrate with tools like ac-spec-generator, ac-feature-analyzer, and ac-complexity-assessor for a complete development workflow.

Which file formats does AC Spec Parser support?

The skill supports YAML (.yaml, .yml), JSON (.json), and Markdown (.md) files for project specifications.

AC Spec Parser

Name: AC Spec Parser
Author: adaptationio

byadaptationio

생산성 및 워크플로

Parses and validates project specifications to transform requirements into structured data for autonomous coding workflows.

소개

AC Spec Parser is a specialized tool designed to streamline the initial phase of autonomous software development by extracting actionable data from project specifications. It supports multiple formats including YAML, JSON, and Markdown, ensuring that requirements, technology stacks, and constraints are correctly structured and validated against a strict schema. By normalizing these specifications, the skill allows Claude to seamlessly integrate project goals with downstream tools like feature generators and complexity assessors, reducing manual planning overhead and ensuring architectural consistency across the development lifecycle.

주요 기능

Automated extraction of functional and non-functional requirements
0 GitHub stars
Strict schema validation for project metadata and requirement structures
Support for YAML, JSON, and Markdown specification formats
Data normalization for downstream feature analysis and planning
Consistency checking for unique requirement IDs and priority levels

사용 사례

Converting human-readable Markdown requirements into machine-readable data for AI agents
Standardizing requirement formats before performing automated complexity assessment
Validating project specifications to ensure all architectural constraints are defined

소개

주요 기능

Automated extraction of functional and non-functional requirements
0 GitHub stars
Strict schema validation for project metadata and requirement structures
Support for YAML, JSON, and Markdown specification formats
Data normalization for downstream feature analysis and planning
Consistency checking for unique requirement IDs and priority levels

사용 사례

Converting human-readable Markdown requirements into machine-readable data for AI agents
Standardizing requirement formats before performing automated complexity assessment
Validating project specifications to ensure all architectural constraints are defined