# Superconductivity Analysis

> Use when the task is to analyze superconductivity-relevant quantities from DFT or Eliashberg-style outputs, including electron-phonon coupling summaries, logarithmic phonon frequency estimates, phonon-stability checks, Allen-Dynes Tc estimates, mu*-sensitivity or Tc robustness checks, mode-specific candidate ranking, and compact markdown reports from finished calculations.

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

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# Superconductivity Analysis

Use this skill for superconductivity-oriented post-processing rather than generic workflow setup.

## When to use

- summarize electron-phonon coupling from an `alpha^2F`-like spectrum
- estimate `lambda` and `omega_log`
- check whether a phonon mode set contains soft or imaginary modes
- estimate a simple Allen-Dynes `Tc`
- estimate how sensitive Tc is to the chosen `mu*`
- rank multiple superconducting candidates in balanced, high-Tc, robust, or stable modes
- write a compact superconductivity-analysis report from existing data

## Use the bundled helpers

- `scripts/analyze_alpha2f.py`
  Estimate `lambda` and `omega_log` from an `alpha^2F` spectrum.
- `scripts/analyze_phonon_modes.py`
  Summarize phonon-mode stability and soft-mode counts.
- `scripts/estimate_tc.py`
  Estimate `Tc` from `lambda`, `omega_log`, and `mu*`.
- `scripts/analyze_tc_sensitivity.py`
  Sweep Tc over a range of `mu*` values and summarize robustness.
- `scripts/compare_superconducting_candidates.py`
  Rank multiple superconducting candidates with a compact Tc-plus-stability heuristic.
- `scripts/export_superconductivity_report.py`
  Export a markdown superconductivity-analysis report.

## Guardrails

- Treat the resulting `Tc` as a compact estimate, not a full superconductivity prediction workflow.
- Be explicit about the chosen `mu*`.
- Distinguish soft modes from fully imaginary-mode instabilities.