qiskit-nature-solver
Qiskit Nature skill for quantum chemistry and materials science applications
Profile →npx skills add a5c-ai/babysitter --skill qiskit-nature-solver --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.
# Qiskit Nature Solver ## Purpose Provides expert guidance on quantum chemistry and materials science calculations using Qiskit Nature, enabling ground state and excited state solutions. ## Capabilities - VQE ground state solver - QEOM excited state solver - Fermionic operator handling - Molecular driver integration - Active space reduction - Lattice model construction - Property calculation - Qubit converter management ## Usage Guidelines 1. **Problem Setup**: Define molecular system using supported drivers 2. **Mapping Selection**: Choose qubit mapping strategy (Jordan-Wigner, Parity, etc.) 3. **Solver Configuration**: Set up VQE with ansatz and optimizer 4. **Execution**: Run ground state calculation with convergence monitoring 5. **Analysis**: Extract energies, wavefunctions, and molecular properties ## Tools/Libraries - Qiskit Nature - Qiskit Algorithms - PySCF driver - Gaussian driver - Qiskit Aer
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the qiskit-nature-solver skill do?
Qiskit Nature skill for quantum chemistry and materials science applications
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill qiskit-nature-solver --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.