pennylane

80 / 100 · Low risk

Fine to try.

By KalarisLabs/research-agent-skills (GitHub) · research · 126 stars · scanned at commit 802bbea

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 or JAX. For hardware-specific optimizations use qiskit (IBM) or cirq (Google); for open quantum systems use qutip.

Works with any agent that supports SKILL.md skills.

Partially scanned — some files couldn't be read; we'll retry on the next scan

What this skill can do

Downloads and installs other software

The author does not mention this.

Found in 13 places.

skills/pennylane/SKILL.md, line 24uv pip install "pennylane==0.45.0"
skills/pennylane/SKILL.md, line 31uv pip install "pennylane-qiskit==0.45.0"
skills/pennylane/SKILL.md, line 34uv pip install "amazon-braket-pennylane-plugin==1.34.1"

Show 10 more

skills/pennylane/SKILL.md, line 37uv pip install "pennylane-cirq==0.44.0"
skills/pennylane/SKILL.md, line 40uv pip install "pennylane-rigetti==0.40.0"
skills/pennylane/SKILL.md, line 43uv pip install "pennylane-ionq==0.45.0"
skills/pennylane/SKILL.md, line 46uv pip install "pennylane-lightning==0.45.0"
skills/pennylane/SKILL.md, line 49uv pip install "pennylane-catalyst==0.15.0"
skills/pennylane/references/devices_backends.md, line 111uv pip install "pennylane-qiskit==0.45.0"
skills/pennylane/references/devices_backends.md, line 144uv pip install "amazon-braket-pennylane-plugin==1.34.1"
skills/pennylane/references/devices_backends.md, line 175uv pip install "pennylane-cirq==0.44.0"
skills/pennylane/references/devices_backends.md, line 197uv pip install "pennylane-rigetti==0.40.0"
skills/pennylane/references/devices_backends.md, line 212uv pip install "pennylane-ionq==0.45.0"

Runs commands on your computer

The author does not mention this.

Found in 2 places.

skills/pennylane/SKILL.md, line 24uv pip install "pennylane==0.45.0"
skills/pennylane/SKILL.md, line 31uv pip install "pennylane-qiskit==0.45.0"

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=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/KalarisLabs/research-agent-skills' "$d" && git -C "$d" checkout --quiet '802bbea44e551abac24d6856f83fc55149bbdba3' -- 'skills/pennylane' && mkdir -p ~/.agents/skills && cp -R "$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

Date	Version	Score
2026-11-13	`802bbea`	80
2026-11-07	`29fe36d`	85