spinw-magnetic-simulator
SpinW spin wave simulation skill for magnetic materials, magnon dispersions, and neutron scattering analysis
Profile →npx skills add a5c-ai/babysitter --skill spinw-magnetic-simulator --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.
# SpinW Magnetic Simulator ## Purpose Provides expert guidance on SpinW spin wave calculations for magnetic materials, including magnon dispersions and neutron scattering cross-sections. ## Capabilities - Magnetic structure definition - Exchange coupling parameterization - Linear spin wave theory calculations - Neutron scattering cross-section computation - Magnetic phase diagram exploration - Powder averaging ## Usage Guidelines 1. **Structure Definition**: Define magnetic crystal structures 2. **Exchange Couplings**: Parameterize exchange interactions 3. **Spin Wave Theory**: Calculate magnon dispersions 4. **Neutron Scattering**: Compute cross-sections for comparison with experiments 5. **Phase Diagrams**: Explore magnetic phase transitions ## Tools/Libraries - SpinW (MATLAB) - magnopy
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the spinw-magnetic-simulator skill do?
SpinW spin wave simulation skill for magnetic materials, magnon dispersions, and neutron scattering analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill spinw-magnetic-simulator --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.