What documents does Spec-to-MD generate?

It generates a comprehensive suite of files including prompt.md for navigation, a master technical specification, and detailed frontend/backend implementation guides.

Does it ensure frontend and backend alignment?

Yes, it uses a coordinated 'Team' workflow where sub-agents cross-verify API endpoints, data types, and store actions before finalizing the documents.

How does it handle project-specific standards?

The skill specifically reads your provided project standard files (like DEVELOP.md or NAMING_CONVENTIONS.md) to ensure all generated output follows your local rules.

Can it analyze existing code for style matching?

Absolutely. One of its sub-agents is dedicated to reading your shared components and similar code to ensure the generated specs match your current implementation patterns.

Spec-to-MD Documentation Architect

Name: Spec-to-MD Documentation Architect
Author: agony1997

byagony1997

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학습 및 문서화

Transforms functional specification documents into structured technical implementation guides for AI-driven coding workflows.

Spec-to-MD is a sophisticated workflow skill for Claude Code designed to bridge the gap between business requirements and technical execution. By leveraging a multi-agent orchestration system, it analyzes functional requirements, project standards, and existing codebases to generate comprehensive implementation blueprints. The skill produces a suite of synchronized markdown files including navigation prompts, technical specifications, and dedicated frontend/backend implementation instructions, ensuring that AI coding tasks are grounded in consistent architecture and domain-specific logic.

주요 기능

01Automated cross-layer consistency checking between API definitions and UI components

020 GitHub stars

03Team-based orchestration for producing detailed, self-contained implementation documents

04Multi-agent parallel analysis of functional specs, project standards, and code styles

05Generation of synchronized markdown files for frontend, backend, and technical architecture

06Adaptive learning from existing codebases to match project-specific naming and patterns

사용 사례

01Converting business requirement documents into developer-ready technical tasks

02Standardizing implementation plans across teams to ensure architectural consistency

03Generating context-rich prompts for md-to-code transformation skills

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agony1997/touchfish-skills spec-to-md

For use in Claude.ai and ChatGPT

주요 기능

01Automated cross-layer consistency checking between API definitions and UI components

020 GitHub stars

03Team-based orchestration for producing detailed, self-contained implementation documents

04Multi-agent parallel analysis of functional specs, project standards, and code styles

05Generation of synchronized markdown files for frontend, backend, and technical architecture

06Adaptive learning from existing codebases to match project-specific naming and patterns

사용 사례

01Converting business requirement documents into developer-ready technical tasks

02Standardizing implementation plans across teams to ensure architectural consistency

03Generating context-rich prompts for md-to-code transformation skills