frontend-contract-author

Extract backend entrypoint data contracts for frontend integration.

2|Updated Nov 16, 2025
One-click install
npx skills add https://github.com/w5851/Julia_RelaxTime --skill frontend-contract-author
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: frontend-contract-author
Source: https://github.com/w5851/Julia_RelaxTime/tree/main/.agents/skills/frontend-contract-author
Command: npx skills add https://github.com/w5851/Julia_RelaxTime --skill frontend-contract-author

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Frontend teams often need stable, machine-readable contracts derived from backend entrypoints to drive UI integration, validation, and documentation. This Skill extracts and formalizes the surface of backend APIs into frontend-ready schemas, including fields, units, error semantics, and stability notes.

Core Features & Use Cases

  • Backend-to-Frontend Contract Extraction: Analyze Models, server scripts, and API entrypoints to produce a consistent data contract.
  • Unit, Field, and Error Semantics: Document expected types, units, default values, and error models for reliable integration.
  • Mock Payloads & Integration Notes: Generate representative mock payloads and guidance for frontend development and testing.

Quick Start

Perform contract derivation against your backend entrypoints to generate a frontend-consumable spec.

Frequently Asked Questions about frontend-contract-author

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate frontend API contracts from backend entrypoints?

To generate frontend API contracts, this Skill analyzes backend Models, server scripts, and HTTP interfaces to extract request and response shapes, capturing field names, data types, and stability classifications for integration.

What is a frontend-ready data contract and what does it include?

A frontend-ready data contract is a machine-readable schema derived from backend entrypoints that includes field names, data types, units, default values, error semantics, and stability notes to drive UI integration and testing.

How do I extract error semantics and default values from backend APIs for frontend integration?

You can extract error semantics and default values by applying contract derivation to your backend APIs, which formalizes the surface of HTTP interfaces and Models into a consistent, documented data contract.

Can I use this to generate mock payloads for multi-endpoint workflows?

Yes, you can generate representative mock payloads and integration notes for both single endpoints and multi-endpoint workflows by applying contract derivation against your backend entrypoints and script outputs.

Does this work with any backend HTTP interface or only specific frameworks?

This works across repository HTTP interfaces, Models, and server scripts regardless of the framework, extracting request and response shapes to produce a consistent frontend-consumable spec.

What's the best way to document backend API field types and units for frontend teams?

The best way to document backend API field types and units is to extract and formalize the surface of backend entrypoints, producing a stable data contract that captures expected types, units, and error models.