Wannier90 analysis
Agent skill for Wannier90 spread, convergence, and model-quality analysis.
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One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
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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.md
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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.pySummarize a single Wannier90 result directory.scripts/compare_wannier90_results.pyCompare 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.