Guide Valibot schema definition, validation, and parsing in TypeScript and JavaScript projects.
npx skills add https://github.com/ShaulLavo/ellie --skill valibot-usage
Please help me install this Agent Skill. Skill: valibot-usage Source: https://github.com/ShaulLavo/ellie/tree/main/.agents/skills/valibot-usage Command: npx skills add https://github.com/ShaulLavo/ellie --skill valibot-usage
This Skill helps you implement robust data validation and schema definition using Valibot, ensuring data integrity and type safety in your applications.
Use the valibot-usage skill to create a schema for a user object with name and email fields.
High-intent search queries and answers about installing and using this skill.
Schema validation in Valibot is implemented by defining type-safe object schemas and parsing incoming data against them. You use pipelines and actions to ensure data integrity and verify required fields before processing.
Migrating from Zod to Valibot involves mapping existing schema definitions to Valibot's API. This Skill highlights key API differences and common patterns to translate your validation logic while maintaining type safety.
Complex data validation in Valibot utilizes pipelines, actions, and union schemas. These features allow you to parse varied data formats and enforce specific constraints, returning structured errors when validation fails.
Yes, Valibot is designed for frontend input validation. You can validate user registration data, check email formats, and enforce password complexity requirements before submitting to a backend API.
Error handling in Valibot captures parsing failures when data does not match the defined schema. It provides structured feedback on invalid fields, allowing you to manage validation issues effectively within your application.
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