Is testing integrated into the skill's capabilities?

Yes, it provides quick reference and implementation patterns for ScalaTest, MUnit, ZIO Test, and property-based testing.

Does it support big data frameworks like Spark and Flink?

Absolutely. It contains specialized patterns for Apache Spark 3.5 (DataFrame API/SQL) and Apache Flink 1.19 for large-scale data processing.

Which effect systems are covered by this skill?

The skill provides comprehensive modules for both Cats Effect 3.5 and ZIO 2.1, including fiber management, concurrency primitives, and stream processing.

Does this skill support older Scala 2 projects?

While optimized for Scala 3.4+, the skill understands JVM interoperability and can assist in refactoring legacy Scala 2 patterns into modern functional Scala 3 syntax.

Can it help with complex SBT build configurations?

Yes, it includes best practices for SBT 1.10, managing complex library dependencies, and optimizing scalacOptions for performance and safety.

Scala 3 Development Specialist

Name: Scala 3 Development Specialist
Author: modu-ai

bymodu-ai

•

API Development

Architects high-performance distributed systems, big data pipelines, and functional JVM applications using Scala 3.4+ and modern effect systems.

About

This Claude Code skill transforms your environment into a specialized Scala 3.4+ development suite, optimized for building robust and scalable JVM applications. It provides deep expertise in functional programming patterns, covering core language features like givens and extension methods alongside industry-standard frameworks like Akka, Cats Effect, ZIO, and Apache Spark. Whether you are engineering complex microservices with Http4s or processing massive datasets with Spark 3.5, this skill offers implementation patterns, best practices, and automated troubleshooting guidance for the modern Scala ecosystem.

Key Features

16 GitHub stars
Comprehensive testing guidance for ScalaTest, MUnit, and ZIO Test
Expert implementation of Scala 3.4 features like Givens, Enums, and Opaque Types
Distributed system design using Akka 2.9 Typed Actors and Clustering
Deep support for Cats Effect 3.5 and ZIO 2.1 functional effect systems
Big data pipeline development with Apache Spark 3.5 DataFrame and SQL APIs

Use Cases

Migrating and refactoring legacy Scala codebases to modern Scala 3.4 standards
Developing distributed big data processing pipelines and structured streaming with Spark
Building high-concurrency microservices with Http4s and pure functional effects

About

Key Features

16 GitHub stars
Comprehensive testing guidance for ScalaTest, MUnit, and ZIO Test
Expert implementation of Scala 3.4 features like Givens, Enums, and Opaque Types
Distributed system design using Akka 2.9 Typed Actors and Clustering
Deep support for Cats Effect 3.5 and ZIO 2.1 functional effect systems
Big data pipeline development with Apache Spark 3.5 DataFrame and SQL APIs

Use Cases

Migrating and refactoring legacy Scala codebases to modern Scala 3.4 standards
Developing distributed big data processing pipelines and structured streaming with Spark
Building high-concurrency microservices with Http4s and pure functional effects