clojure-malli

Validate and coerce Clojure data using Malli schemas.

1|Updated Sep 5, 2025
One-click install
npx skills add https://github.com/Ramblurr/nix-devenv --skill clojure-malli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clojure-malli
Source: https://github.com/Ramblurr/nix-devenv/tree/main/prompts/skills/clojure-malli
Command: npx skills add https://github.com/Ramblurr/nix-devenv --skill clojure-malli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of ensuring data integrity and consistency by providing a robust system for defining, validating, and transforming data structures using Malli schemas in Clojure.

Core Features & Use Cases

  • Data Validation: Define schemas to ensure data conforms to expected types, formats, and constraints.
  • Data Coercion: Automatically transform data from one format to another (e.g., strings to integers, booleans).
  • Schema Definition: Create reusable and composable schemas for complex data models, including maps, collections, and unions.
  • Use Case: Validating incoming API request data to ensure it matches the expected structure before processing, or coercing form input strings into appropriate data types for database storage.

Quick Start

Use the clojure-malli skill to validate the provided data against the map schema with required string and integer keys.

Frequently Asked Questions about clojure-malli

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

FAQPage Schema
How do I validate incoming API request data in Clojure?

You can validate incoming API request data in Clojure by defining Malli schemas for complex data structures and checking the data against these schemas to ensure it matches expected types and constraints before processing.

How do I coerce form input strings to integers in Clojure?

You can coerce form input strings to integers in Clojure by leveraging Malli's data transformation capabilities, which automatically convert data from one format to another, such as transforming strings into appropriate data types for database storage.

What is the best way to ensure data integrity in Clojure applications?

Ensuring data integrity in Clojure applications is best achieved by defining reusable and composable Malli schemas for complex data models, enabling robust validation and consistency checks across your data structures.

Can I create composable schemas for complex data models with Malli?

Yes, you can create composable schemas for complex data models with Malli, allowing you to define reusable schemas that support maps, collections, and unions for robust data validation and transformation in Clojure.

Do I need any external dependencies to use Malli for data validation?

No external dependencies are required to use this Malli data validation skill, as it operates independently to provide schema definition, validation, and coercion capabilities directly within your Clojure environment.

When should I not use schema-based data validation in Clojure?

Schema-based data validation in Clojure may not be suitable for extremely dynamic or schema-less data flows where strict data integrity checks and format conversion constraints would introduce unnecessary processing overhead.