kwant-quantum-transport
Kwant quantum transport skill for mesoscopic physics, scattering matrix calculations, and nanostructure modeling
Best use case
kwant-quantum-transport is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Kwant quantum transport skill for mesoscopic physics, scattering matrix calculations, and nanostructure modeling
Teams using kwant-quantum-transport should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/kwant-quantum-transport/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How kwant-quantum-transport Compares
| Feature / Agent | kwant-quantum-transport | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Kwant quantum transport skill for mesoscopic physics, scattering matrix calculations, and nanostructure modeling
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Kwant Quantum Transport ## Purpose Provides expert guidance on Kwant quantum transport calculations for mesoscopic systems, including scattering matrix computations and nanostructure modeling. ## Capabilities - System builder for arbitrary geometries - Scattering matrix computation - Landauer-Buttiker formalism - Tight-binding Hamiltonian construction - Band structure visualization - Parallel transport calculations ## Usage Guidelines 1. **System Definition**: Build systems with leads and scattering regions 2. **Hamiltonians**: Define tight-binding Hamiltonians 3. **Scattering**: Compute scattering matrices and conductance 4. **Band Structure**: Calculate and visualize band structures 5. **Parallelization**: Use parallel computing for large systems ## Tools/Libraries - Kwant - NumPy - SciPy
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