Agent skill · Data & Analytics

julia-scientific

Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill julia-scientific-plurigrid-asi-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Version: 1.0.0
Path: skills/ai-ml/julia-scientific-plurigrid-asi-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Julia Scientific Package Mapping Skill > *"Two languages diverged in a scientific wood, and Julia—Julia took the one with multiple dispatch."* ## bmorphism Contributions > *"We are building cognitive infrastructure for the next trillion minds"* > — [Plurigrid: the story thus far](https://gist.github.com/bmorphism/a400e174b9f93db299558a6986be0310) > *"complexity of information / the burden of integrating it in real time makes technology an indispensable part of our cognitive infrastructure"* > — [@bmorphism](https://github.com/bmorphism) **Key References from Plurigrid**: - [Towards Foundations of Categorical Cybernetics](https://arxiv.org/abs/2105.06332) - [Organizing Physics with Open Energy-Driven Systems](https://arxiv.org/abs/2404.16140) - [Compositional game theory](https://arxiv.org/abs/1603.04641) ## Overview This skill provides comprehensive mappings from **137 K-Dense-AI Python scientific skills** to their **Julia package equivalents**. Coverage is ~85% native Julia, with the remainder accessible via PyCall.jl interop. ## Quick Reference | Category | Skills | Coverage | Key Packages | |----------|--------|----------|--------------| | Bioinformatics | 25 | 92% | BioJulia

What's inside
Steps it walks through
  1. bmorphism Contributions
  2. Overview
  3. Quick Reference
  4. GF(3) Conservation
  5. Core Mappings
  6. Bioinformatics (BioJulia)
  7. Chemistry (JuliaMolSim + Chemellia)
  8. Quantum (QuantumBFS)
  9. ML/AI (FluxML + MLJ)
  10. Data Science (JuliaData + JuliaStats)
  11. Visualization (Makie + Plots)
  12. Document Processing (Papers/OCR)
  13. Mathpix Integration
  14. Key Julia Organizations
Ships with 1 file
  • metadata.json
Commands it runs
Search Julia equivalents
julia -e 'using Pkg; Pkg.status()' | grep -i biojulia
Install BioJulia stack
julia -e 'using Pkg; Pkg.add(["BioSequences", "FASTX", "XAM", "BioStructures"])'
Install ML stack
julia -e 'using Pkg; Pkg.add(["Flux", "MLJ", "GraphNeuralNetworks"])'
Install quantum stack
julia -e 'using Pkg; Pkg.add(["Yao", "QuantumToolbox"])'
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About this skill
What does the julia-scientific skill do?

Julia package equivalents for 137 K-Dense-AI scientific skills. Maps Python bioinformatics, chemistry, ML, quantum, and data science packages to native Julia ecosystem.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill julia-scientific-plurigrid-asi-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going