Wannier90 Tight-Binding

SkillAI & models

Wannier90 skill for maximally localized Wannier functions and tight-binding model construction

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Wannier90 Tight-Binding skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/wannier90-tight-binding/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on Wannier90 for constructing maximally localized Wannier functions and tight-binding models from DFT calculations.

Capabilities

  • Wannierization from DFT
  • Band interpolation
  • Berry phase calculations
  • Topological invariant computation
  • Transport property modeling
  • Interface with DFT codes (VASP, QE)

Usage Guidelines

  1. Wannierization: Set up Wannier90 input from DFT calculations
  2. Disentanglement: Configure frozen and disentanglement windows
  3. Band Interpolation: Generate interpolated band structures
  4. Topology: Calculate Berry phases and topological invariants
  5. Transport: Interface with transport codes

Tools/Libraries

  • Wannier90
  • WannierTools
  • Z2Pack

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
wannier90-tight-binding
Source
github.com/a5c-ai/babysitter