Can this skill help with data transformation?

Yes, it covers both simple and complex transformations, including bidirectional encoding/decoding for types such as Dates, Emails, and custom objects.

Can I use this for both frontend and backend validation?

Absolutely. The skill covers universal patterns applicable to API request validation, frontend form data, and internal application state management.

Does this skill support Effect ecosystem integration?

Yes, it includes specific patterns for using Schema within Effect pipelines, including handling ParseErrors as functional Effect failures.

Does it support custom validation rules?

Yes, it provides comprehensive guidance on using refinements, filters, and custom transformation logic to enforce specific business constraints.

Effect Schema

Name: Effect Schema
Author: TheBushidoCollective

byTheBushidoCollective

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API 개발

Implements type-safe data validation, parsing, and transformations using @effect/schema for robust TypeScript applications.

소개

This skill provides specialized guidance for working with @effect/schema, the premier data modeling and validation library for the Effect ecosystem. It enables Claude to define complex schema structures, perform runtime data validation, and execute seamless transformations between internal and external data formats. Whether building API boundaries, processing form data, or managing internal state, this skill ensures strict type safety and predictable data handling across the entire application lifecycle, leveraging the power of functional programming in TypeScript.

주요 기능

Implement high-performance synchronous and effect-based data parsing
Apply granular refinements including regex patterns and numerical constraints
Create sophisticated data transformations with bidirectional encoding
Compose reusable schema patterns for API responses and paginated data
Define complex, nested structs with optional fields and literal types
72 GitHub stars

사용 사례

Building type-safe form validation logic with complex cross-field dependencies
Validating and sanitizing incoming request payloads at API boundaries
Transforming raw database or JSON results into domain-specific TypeScript models

소개

주요 기능

Implement high-performance synchronous and effect-based data parsing
Apply granular refinements including regex patterns and numerical constraints
Create sophisticated data transformations with bidirectional encoding
Compose reusable schema patterns for API responses and paginated data
Define complex, nested structs with optional fields and literal types
72 GitHub stars

사용 사례

Building type-safe form validation logic with complex cross-field dependencies
Validating and sanitizing incoming request payloads at API boundaries
Transforming raw database or JSON results into domain-specific TypeScript models