Model Julia
Set up Julia and write correct, performant, modern Julia for theoretical research — one first choice per task, no ambiguous alternatives. Use whenever the user runs Julia or does numerical experiments, AD/gradients, optimization, polynomial/symbolic computation, or differential equations. Trigger on DifferentiationInterface, ADTypes, ForwardDiff, Enzyme, Zygote, Reactant, JET, DispatchDoctor, AllocCheck, Aqua, ExplicitImports, Chairmarks, OhMyThreads, ComponentArrays, StaticArrays, HomotopyContinuation, SymEngine, Symbolics, ModelingToolkit, SymPyPythonCall, Manopt, DrWatson, Pluto, Documenter, Quarto, Julia setup, experiment/project management, notebooks / literate reports, TTFX / precompile latency, or large-package architecture (module/file organization, include order, submodules vs subpackages, package extensions / weakdeps, type piracy, public API). MANDATORY — read this skill BEFORE writing ANY Julia code. §2.0 forbids FD derivative estimation (use AD), grid sampling (use optimization), and lerp-as-evaluation. All differentiation goes through DifferentiationInterface (raw backend calls are the exception); Dual-propagation rules apply whenever AutoForwardDiff is in the path. Symbolic tooling is chosen by ROLE: SymEngine for lightweight algebra, Symbolics+ModelingToolkit as the spine of AI4S/SciML projects (codegen/PDE/DAE), SymPyPythonCall as a thin-boundary service for heavy CAS (integrate/trigsimp/factor/assumptions).
From the source SKILL.md
This skill provides coding rules partitioned by consequence. Read §1 and §2.0 below first — they set precedence: a fast implementation of the wrong method is still wrong. Then open the reference file that matches the task.
What this skill does
Model Julia is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/model-julia/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use whenever the user runs Julia or does numerical experiments, AD/gradients, optimization, polynomial/symbolic computation, or differential equations. Trigger on DifferentiationInterface, ADTypes, ForwardDiff, Enzyme, Zygote, Reactant, JET, DispatchDoctor, AllocCheck, Aqua, ExplicitImports, Chairmarks, OhMyThreads, ComponentArrays, StaticArrays, HomotopyContinuation, SymEngine, Symbolics, ModelingToolkit, SymPyPythonCall, Manopt, DrWatson, Pluto, Documenter, Quarto, Julia setup, experiment/project management, notebooks / literate reports, TTFX / precompile latency, or large-package architecture (module/file organization, include order, submodules vs subpackages, package extensions / weakdeps, type piracy, public API).
Who uses this skill
The Model Julia Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 116,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
How to install
Free
Manual install (2 steps)
mkdir -p ~/.claude/skills/model-julia
curl -L https://claudskills.com/skills/model-julia/SKILL.md \
-o ~/.claude/skills/model-julia/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/model-julia/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/model-julia/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\model-julia\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Frequently asked questions
How do I install the Model Julia Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy
SKILL.md from the source repository to
~/.claude/skills/model-julia/SKILL.md and restart Claude Code. Both flows are detailed at
claudskills.com/install/.
What does the Model Julia skill do?
Set up Julia and write correct, performant, modern Julia for theoretical research — one first choice per task, no ambiguous alternatives. Use whenever the user runs Julia or does numerical experiments, AD/gradients, optimization, polynomial/symbolic computation, or differential equations. Trigger on DifferentiationInterface, ADTypes, ForwardDiff, Enzyme, Zygote, Reactant, JET, DispatchDoctor, AllocCheck, Aqua, ExplicitImports, Chairmarks, OhMyThreads, ComponentArrays, StaticArrays, HomotopyContinuation, SymEngine, Symbolics, ModelingToolkit, SymPyPythonCall, Manopt, DrWatson, Pluto, Documenter, Quarto, Julia setup, experiment/project management, notebooks / literate reports, TTFX / precompile latency, or large-package architecture (module/file organization, include order, submodules vs subpackages, package extensions / weakdeps, type piracy, public API). MANDATORY — read this skill BEFORE writing ANY Julia code. §2.0 forbids FD derivative estimation (use AD), grid sampling (use optimization), and lerp-as-evaluation. All differentiation goes through DifferentiationInterface (raw backend calls are the exception); Dual-propagation rules apply whenever AutoForwardDiff is in the path. Symbolic tooling is chosen by ROLE: SymEngine for lightweight algebra, Symbolics+ModelingToolkit as the spine of AI4S/SciML projects (codegen/PDE/DAE), SymPyPythonCall as a thin-boundary service for heavy CAS (integrate/trigsimp/factor/assumptions).
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Model Julia skill?
Use Model Julia when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Model Julia" or describe the task and let Claude pick). Browse related skills at
/category/science/.
What is a Claude Code skill and how does the Model Julia skill fit in?
A Claude Code skill is a
SKILL.md file that lives under
~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Model Julia is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at
/learn/what-is-a-claude-skill/.
Attribution & license
Cite this skill
If you reference this skill in a blog post, paper, or documentation, you can cite it as:
APA
fuyutarow. (2026). Model Julia [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/model-julia/
BibTeX
@misc{model-julia-2026,
author = {fuyutarow},
title = {Model Julia [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/model-julia/}
}Embed this skill
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