About
DisCoPy is a Python library for computing with string diagrams, providing a categorical framework for modeling monoidal categories, quantum circuits, and tensor networks. It enables the creation and manipulation of diagrams for applications in quantum computing (QNLP, ZX-calculus) and operad theory, with integrations for NumPy, JAX, and PyTorch. Use this skill when you need to programmatically work with the graphical syntax of category theory or its applications in quantum and computational linguistics.
Quick Install
Claude Code
Recommendednpx skills add plurigrid/asi -a claude-code/plugin add https://github.com/plurigrid/asigit clone https://github.com/plurigrid/asi.git ~/.claude/skills/discopyCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the discopy skill?
discopy is a Claude Skill by plurigrid. Skills package instructions and resources that Claude loads on demand, so Claude can perform discopy-related tasks without extra prompting.
How do I install discopy?
Use the install commands on this page: add discopy 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 belong to?
discopy is in the Design category, tagged design.
Is discopy free to use?
Yes. discopy 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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