julia-jet-opt
CommunityDetect Julia optimization failures.
AuthorKrastanov
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps developers identify and fix performance bottlenecks in Julia code by detecting runtime dispatch, captured variables, and type instabilities that hinder optimization.
Core Features & Use Cases
- Detect Runtime Dispatch: Pinpoint functions that cannot be resolved at compile time, leading to slower execution.
- Identify Captured Variables: Find instances where closures capture reassigned variables, causing unnecessary memory allocations.
- Analyze Type Instabilities: Uncover issues related to non-constant global variables or abstract field types that prevent efficient code generation.
- Use Case: When your Julia function is unexpectedly slow, use this skill to automatically scan its entire call graph for optimization issues that
@code_warntypemight miss.
Quick Start
Use the julia-jet-opt skill to report optimization issues for the call sum(Any[1, 2, 3]).
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: julia-jet-opt Download link: https://github.com/Krastanov/JuliaLLMAgentSkills/archive/main.zip#julia-jet-opt Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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