Pennylane is a production-ready Claude Code skill (quality score 70/100) in the physics sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/pennylane/ and loads when your prompt matches the skill's trigger.
When to invoke it: 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.
The Pennylane skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It is part of the open ClaudSkills registry, a community-curated catalog of 15,000+ capabilities you can install for Claude Code — the Claude CLI agent.
mkdir -p ~/.claude/skills/pennylane curl -L https://claudskills.com/skills/pennylane/SKILL.md \ -o ~/.claude/skills/pennylane/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/pennylane/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/pennylane/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\pennylane\SKILL.md on Windows. See the full install guide for step-by-step instructions.
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Browse all Science & Research skills in the ClaudSkills registry, or explore these top-rated picks from the same category:
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