# Wannier90 Analysis

> Use when the task is to analyze completed or incomplete Wannier90 outputs, including spread summaries, convergence interpretation, comparing multiple Wannier models, and summarizing .wout results.

- Skill: `chatmaterials/wannier90-analysis` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add chatmaterials/wannier90-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/chatmaterials/wannier90-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: chatmaterials (https://skillmd.com/u/chatmaterials)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/chatmaterials/wannier90-analysis

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# Wannier90 Analysis

Use this skill for post-run Wannier90 result analysis rather than workflow setup.

## When to use

- analyze a completed or incomplete Wannier90 run
- compare spreads across multiple Wannier90 directories
- summarize convergence from `.wout`
- write a compact report from existing Wannier90 results

## Use the bundled helpers

- `scripts/analyze_wannier90_result.py`
  Summarize a single Wannier90 result directory.
- `scripts/compare_wannier90_results.py`
  Compare multiple Wannier90 result directories by spread and status.

## Guardrails

- Do not treat unconverged localization as a trustworthy final model.
- Distinguish spread extraction from the physical quality of the low-energy model.