agentsclimarketplace
Sign in

Superconductivity analysis

Skill chatmaterials/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.From its SKILL.md

Install
npx -y skills add chatmaterials/superconductivity-analysis

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 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.

SKILL.md

1.8 KB, 340 tokens by cl100k_base, as published. Nobody here has run it

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.

What ships with it: 20 files

24.7 KB alongside SKILL.md, 7 of them executable

agents/

fixtures/

references/

scripts/

Keep looking

Skills are one crate of 326,422. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.