From qml-evaluation
Evaluation skill for fair comparisons across PennyLane plus PyTorch, Qiskit-backed, and native Qiskit ML branches.
How this skill is triggered — by the user, by Claude, or both
Slash command
/qml-evaluation:qml-cross-framework-benchmarkingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill to design and run fair comparisons across PennyLane + PyTorch, Qiskit-backed execution, and any native Qiskit ML branches. The goal is to make migration and architecture decisions from controlled evidence instead of anecdotal runtime impressions or incomparable notebook results.
Use this skill to design and run fair comparisons across PennyLane + PyTorch, Qiskit-backed execution, and any native Qiskit ML branches. The goal is to make migration and architecture decisions from controlled evidence instead of anecdotal runtime impressions or incomparable notebook results.
Before applying this skill, identify:
When this skill is applied, benchmark results should be credible enough to support architecture decisions and research notes.
Provides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Fetches up-to-date documentation from Context7 for libraries and frameworks like React, Next.js, Prisma. Use for setup questions, API references, and code examples.
npx claudepluginhub tquang122/quantum-ml-skills --plugin qml-evaluation