Does it support the Biome code style?

The skill is pre-configured to output code following Biome conventions, including tab indentation, double quotes, and specific line width limits.

Can I use this to replace mock data?

Absolutely. The skill is designed to analyze real backend specs and provide the necessary implementation code to swap out mocks for real API calls seamlessly.

How does this skill help with API errors?

It analyzes the OpenAPI spec for a specific endpoint and compares it against your code to identify missing required fields, invalid data formats, or incorrect headers causing 400 or 401 errors.

Can it generate React hooks for data fetching?

Yes, it provides standardized TanStack Query hook patterns, including mutation hooks with optimistic updates and query key factories.

API Specification Analyzer

Name: API Specification Analyzer
Author: tianzecn

bytianzecn

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API Development

Analyzes OpenAPI specifications to generate TypeScript interfaces, API service patterns, and TanStack Query hooks for seamless backend integration.

About

The API Specification Analyzer is a specialized skill designed to bridge the gap between backend documentation and frontend implementation. It automates the process of reading OpenAPI/Swagger specifications to produce precise TypeScript types, production-ready API services, and standardized data-fetching hooks. Beyond code generation, it serves as a powerful debugging assistant for resolving HTTP errors and validating request formats, ensuring frontend developers maintain high type safety and adhere to project-specific architecture patterns like TanStack Query and Biome styling.

Key Features

Generation of strictly typed TypeScript interfaces with JSDoc documentation
Automated OpenAPI schema parsing and endpoint analysis
Production-ready implementation of API services and TanStack Query hooks
Comprehensive integration checklists for consistent project architecture
1 GitHub stars
Diagnostic support for debugging 4xx and 5xx API errors

Use Cases

Debugging data type mismatches or validation errors during API integration
Implementing new frontend features that consume backend endpoints
Migrating from mock API data to live production backend services

About

Key Features

Generation of strictly typed TypeScript interfaces with JSDoc documentation
Automated OpenAPI schema parsing and endpoint analysis
Production-ready implementation of API services and TanStack Query hooks
Comprehensive integration checklists for consistent project architecture
1 GitHub stars
Diagnostic support for debugging 4xx and 5xx API errors

Use Cases

Debugging data type mismatches or validation errors during API integration
Implementing new frontend features that consume backend endpoints
Migrating from mock API data to live production backend services