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.
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3d-pipeline
Choose a 3D generation or reconstruction pipeline given input type, output format, and use case. Use when you need help with 3d pipeline.
View → skillSKILL
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.
View → skillAGENTS
AGENTS. Use when writing React components following AGENTS patterns.
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Rule Title Here. Use when you need help with _template.
View → skillaccessibility-designer
accessibility-designer. Use when you need help with accessibility designer.
View → skilla2a-integrator
Design an A2A integration between two agents — Agent Card, task schemas, auth, streaming or polling. Use when you need help with a2a integrator.
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