discopy-categorical-computing
About
Discopy provides a Python framework for compositional computing using category theory, enabling developers to work with string diagrams, quantum circuits, and quantum natural language processing (QNLP). It is ideal for building modular systems with formal composition guarantees and for translating natural language into quantum computations. Key features include diagrammatic reasoning, tensor network evaluation, and support for multiple backends.
Quick Install
Claude Code
Recommendednpx skills add majiayu000/claude-skill-registry -a claude-code/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/discopy-categorical-computingCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the discopy-categorical-computing skill?
discopy-categorical-computing is a Claude Skill by majiayu000. Skills package instructions and resources that Claude loads on demand, so Claude can perform discopy-categorical-computing-related tasks without extra prompting.
How do I install discopy-categorical-computing?
Use the install commands on this page: add discopy-categorical-computing to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does discopy-categorical-computing belong to?
discopy-categorical-computing is in the Design category, tagged category-theory, quantum-computing, nlp, qnlp, string-diagrams and compositional-semantics.
Is discopy-categorical-computing free to use?
Yes. discopy-categorical-computing is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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