mcpbeat

Pennylane

christophacham/pennylane

Hardware-agnostic quantum ML framework with automatic differentiation. Use when training quantum circuits via gradients, building hybrid quantum-classical models, or needing device portability across IBM/Google/Rigetti/IonQ. Best for variational algorithms (VQE, QAOA), quantum neural networks, and integration with PyTorch/JAX/TensorFlow. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.

24k tokens
context cost
the whole folder, loaded on every use
8
files
instructions only
3
copies elsewhere
how many repositories repackaged it
73
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/christophacham/agent-skills-library --skill pennylane

Repackaged in 3 other repositories

same content, different owner
agent-skills-hub/agent-skills-hub open on GitHub →
aiskillstore/marketplace open on GitHub →
ComeOnOliver/skillshub open on GitHub →

How to use it

Copy the folder

Take christophacham/pennylane from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip, uv. Without those the skill loads but fails at the first command.