Quantum ESPRESSO Runner

SkillDev tools

Quantum ESPRESSO DFT skill for plane-wave pseudopotential calculations and materials simulation

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 Quantum ESPRESSO Runner 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/quantum-espresso-runner/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on Quantum ESPRESSO DFT calculations, including input file management, pseudopotential selection, and advanced property calculations.

Capabilities

  • Input file generation (pw.x, ph.x, pp.x)
  • Pseudopotential library management
  • Convergence testing automation
  • Wannier90 interface for tight-binding
  • Transport property calculations
  • Spin-orbit coupling handling

Usage Guidelines

  1. Input Generation: Create proper QE input files for pw.x, ph.x, pp.x
  2. Pseudopotentials: Select appropriate pseudopotentials from libraries
  3. Convergence: Test cutoff and k-point convergence systematically
  4. Wannier Functions: Interface with Wannier90 for tight-binding models
  5. Transport: Calculate transport properties with BoltzTraP or EPW

Tools/Libraries

  • Quantum ESPRESSO
  • Wannier90
  • EPW

Signals

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