Is this skill useful for solo developers?

Yes. Even for solo developers, using this skill helps separate your 'frontend brain' from your 'backend brain,' ensuring you've fully thought through data relationships and UI states before you start writing server-side code.

Does this skill generate actual API code or endpoints?

No, this skill is designed specifically to document the 'what' (data needs) rather than the 'how' (implementation). It generates documentation that helps backend developers design the right API without being told how to name fields or structure endpoints.

Where are the requirements files saved?

All requirement documents are automatically saved to the .claude/docs/ai/ /backend-requirements.md directory within your project for easy version control.

How does this improve team collaboration?

It provides a clear framework for frontend developers to request data while respecting backend ownership of implementation. It includes sections for 'Uncertainties' and 'Questions,' which invite backend pushback and healthy technical discussion.

Frontend-to-Backend Requirements Sync

Name: Frontend-to-Backend Requirements Sync
Author: softaworks

bysoftaworks

•

347

API 개발

Facilitates seamless communication between frontend and backend teams by documenting functional data requirements without dictating implementation details.

소개

This skill empowers AI agents to act as expert frontend developers who translate UI needs into clear, implementation-agnostic backend requirements. It automates the creation of structured documentation that describes the 'what' rather than the 'how,' allowing backend developers to own architecture and naming conventions while ensuring frontend needs are met. By focusing on data relationships, user actions, and UI states, it reduces friction in the development lifecycle, identifies edge cases early, and fosters healthy collaboration through built-in discussion logs.

주요 기능

Automated requirement documentation in structured markdown format
Collaborative discussion logs to record architectural decisions and feedback
Enforced separation of concerns between UI needs and API implementation
Uncertainty tracking to surface business logic gaps for backend clarification
347 GitHub stars
Standardized templates for data visibility, user actions, and state handling

사용 사례

Defining data requirements for new features before backend development starts
Facilitating RFC-style technical discussions between engineering roles
Bridging the gap between UI design handoffs and initial backend API planning

소개

주요 기능

Automated requirement documentation in structured markdown format
Collaborative discussion logs to record architectural decisions and feedback
Enforced separation of concerns between UI needs and API implementation
Uncertainty tracking to surface business logic gaps for backend clarification
347 GitHub stars
Standardized templates for data visibility, user actions, and state handling

사용 사례

Defining data requirements for new features before backend development starts
Facilitating RFC-style technical discussions between engineering roles
Bridging the gap between UI design handoffs and initial backend API planning