ansatz-designer
Parameterized quantum circuit (ansatz) design skill for variational algorithms
npx skills add a5c-ai/babysitter --skill ansatz-designer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ansatz Designer ## Purpose Provides expert guidance on designing parameterized quantum circuits (ansatze) for variational quantum algorithms, balancing expressibility with trainability. ## Capabilities - Hardware-efficient ansatz generation - UCCSD ansatz construction - ADAPT-VQE ansatz building - Expressibility analysis - Barren plateau detection - Custom ansatz templates - Entanglement structure design - Layer depth optimization ## Usage Guidelines 1. **Problem Analysis**: Determine ansatz requirements based on target Hamiltonian 2. **Architecture Selection**: Choose between hardware-efficient and problem-inspired ansatze 3. **Expressibility Testing**: Evaluate ansatz capacity to represent target states 4. **Trainability Assessment**: Check for barren plateau indicators 5. **Hardware Adaptation**: Modify ansatz for target hardware connectivity ## Tools/Libraries - Qiskit Nature - PennyLane - Cirq - TensorFlow Quantum
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the ansatz-designer skill do?
Parameterized quantum circuit (ansatz) design skill for variational algorithms
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill ansatz-designer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.