Kysely ORM

Build type-safe SQL queries for the LivestockAI backend with Kysely.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/captjay98/livestockai --skill kysely-orm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Kysely ORM
Source: https://github.com/captjay98/livestockai/tree/main/.kiro/skills/kysely-orm
Command: npx skills add https://github.com/captjay98/livestockai --skill kysely-orm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Type-safe SQL query building for the LivestockAI backend.

Core Features & Use Cases

  • Type-safe queries with full TypeScript inference and compile-time validation
  • Repository-style data access across multiple tables (users, batches, farms, sales)
  • Clear, typed mappings to the LivestockAI schema to reduce runtime errors

Quick Start

Create a Kysely-based db instance and start writing type-safe queries against the LivestockAI database.

Frequently Asked Questions about Kysely ORM

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

FAQPage Schema
How do I build type-safe SQL queries in TypeScript for a backend?

To build type-safe SQL queries, create a Kysely-based database instance and write queries against your defined schema. This provides full TypeScript inference and compile-time validation across tables like users, batches, farms, and sales.

What is the best way to validate database queries at compile time in TypeScript?

Compile-time database query validation in TypeScript is achieved by defining explicit type mappings in a Kysely Database schema. This repository-style data access pattern catches query errors during development rather than at runtime.

Does Kysely support repository-style data access across multiple tables?

Yes, Kysely supports repository-style data access patterns across multiple tables. It relies on a defined Database schema to maintain typed mappings for tables such as users, batches, farms, and sales for rapid iteration.

How do I set up a Kysely instance to start querying a database?

To set up a Kysely instance, instantiate a Kysely-based db object with your defined Database schema. You can then immediately start writing type-safe queries against your backend tables with full TypeScript inference.

Why use a type-safe SQL query builder instead of raw SQL queries in TypeScript?

A type-safe SQL query builder like Kysely maintains data integrity by providing full TypeScript inference and compile-time validation. This prevents raw SQL runtime errors by enforcing explicit type mappings across your backend schema.

Can I use Kysely for typed data access in a livestock management backend?

Yes, Kysely can be used for typed data access in a livestock management backend. It enables type-safe SQL query building with explicit mappings for livestock-related tables like batches, farms, and sales to maintain data integrity.