julia-development

Guide Julia package development with SciML-aligned standards and tooling.

7|3|Updated Jul 31, 2025
One-click install
npx skills add https://github.com/seabbs/claude-code-config --skill julia-development
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: julia-development
Source: https://github.com/seabbs/claude-code-config/tree/main/skills/julia-development
Command: npx skills add https://github.com/seabbs/claude-code-config --skill julia-development

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Julia package development guidance helps teams implement robust, scalable, and well-documented Julia packages following SciML standards, including testing strategies, documentation conventions, and performance best practices.

Core Features & Use Cases

  • Environment management, testing, documentation, and code-quality guidelines aligned with SciML patterns.
  • Performance best practices including type stability, precomputation, and efficient code styling.
  • Real-world use: structure Julia projects with Distributions.jl compatibility and Aqua.jl-quality checks.

Quick Start

Create a Julia package skeleton that follows SciML conventions and runs the standard test suite.

Frequently Asked Questions about julia-development

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

FAQPage Schema
How do I set up a Julia package project that follows SciML coding standards?

To set up a Julia package following SciML coding standards, structure your project environment to integrate Distributions.jl patterns and configure automated testing, documentation, and code-quality workflows from the start.

What is the best way to ensure type stability and precompilation in Julia package development?

Ensure type stability and precompilation in Julia package development by applying performance best practices that optimize precomputation strategies and efficient code styling aligned with SciML tooling standards.

How do I integrate Documenter.jl for documentation in a Julia package?

Integrate Documenter.jl to build comprehensive documentation conventions for your Julia package, satisfying SciML requirements for well-documented, scalable project workflows and API references.

Does this Julia package development guidance support Distributions.jl compatibility?

Yes, this Julia package development guidance explicitly supports Distributions.jl compatibility, providing real-world use cases for structuring projects and tests that align with SciML patterns.

What are the limitations when applying SciML patterns to non-scientific Julia packages?

SciML patterns focus heavily on scientific computing, type stability, and specific tooling like Aqua.jl; applying them to non-scientific Julia packages may introduce unnecessary overhead if strict performance and documentation conventions are not required.