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pennylane

80 / 100 · Low risk

Fine to try.

By K-Dense-AI/claude-scientific-skills (GitHub) · data · 57,146 stars · scanned at commit 2d2065f

Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for open-system dynamics use qutip.

Works with any agent that supports SKILL.md skills.

What this skill can do

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'pennylane' ] || [ -L ~/.agents/skills/'pennylane' ]; then echo 'A skill folder named pennylane already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/K-Dense-AI/claude-scientific-skills' "$d" && git -C "$d" checkout --quiet '2d2065fb4520fa3f3f2bcf61cff26ec8b7eba4b5' -- 'skills/pennylane' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/pennylane' ~/.agents/skills/'pennylane' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'pennylane' ~/.claude/skills/'pennylane' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

Also found in

Identical copies of this skill exist at:

• K-Dense-AI/scientific-agent-skills/skills/pennylane