What is the primary output format?

It generates spec.md files following the GitHub Spec Kit standard, organized into feature folders within a specs/ directory.

Can I review the features before files are created?

Yes, the skill first extracts and lists identified features, allowing you to confirm priorities (P0, P1, P2) or skip specific items before file generation begins.

Does it include technical implementation details in the specs?

Following Spec Kit principles, this skill focuses on 'What' the system does (requirements and stories) rather than 'How' it is built, which is reserved for the implementation plan phase.

What input does this skill require to work?

It requires existing documentation files (like functional specs or API docs) located in your project's docs/reverse-engineering/ directory.

Spec Kit Documentation Converter

Name: Spec Kit Documentation Converter
Author: jschulte

byjschulte

•

学習とドキュメンテーション

Transforms reverse-engineered documentation into standardized GitHub Spec Kit specifications for streamlined development workflows.

This skill automates the transition from raw architectural analysis to actionable development specifications by scanning your project's reverse-engineering directory. It intelligently extracts business logic, APIs, and data models to generate structured GitHub Spec Kit files, complete with prioritized user stories, functional requirements, and measurable success criteria. It is specifically designed for teams using the StackShift workflow to turn legacy code analysis into well-documented, feature-based specifications ready for AI-assisted implementation.

主な機能

01Generation of standardized F{NNN} feature specification files

021 GitHub stars

03Automated scanning of reverse-engineering documentation directories

04Validation of spec completeness including edge cases and success criteria

05Intelligent extraction of user stories and acceptance scenarios

06Mapping of API endpoints and data models to functional requirements

ユースケース

01Modernizing legacy documentation into actionable developer specifications

02Preparing a reverse-engineered codebase for structured AI-led implementation

03Standardizing feature documentation across teams using the GitHub Spec Kit format

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jschulte/claude-plugins convert-to-speckit

For use in Claude.ai and ChatGPT

Download Skill