scimate-ai/hpc-skills/hpc-quantum-espresso

Claude Code and agent skill by scimate-ai/hpc-skills

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Build, review, debug, and automate Quantum ESPRESSO workflows. Use when working with `pw.x` input files, pseudopotentials, k-point setup, SCF/relax/bands workflows, plane-wave cutoffs, occupations, or Quantum ESPRESSO execution and convergence issues.

Install

npx vskill@latest install scimate-ai/hpc-skills/hpc-quantum-espresso

SKILL.md

HPC Quantum ESPRESSO

Treat Quantum ESPRESSO as a staged first-principles workflow centered on namelist-based input files.

Start

  1. Read references/pwx-workflow.md before creating or editing a pw.x input.
  2. Read references/input-and-parameter-matrix.md when mapping namelists, atomic species, pseudopotentials, and k-points.
  3. Read references/scf-relax-bands-and-convergence.md when choosing workflow stage and convergence strategy.
  4. Read references/cluster-execution-playbook.md when staging a Quantum ESPRESSO workflow for scheduler-backed cluster execution.
  5. Read references/error-recovery.md when SCF, relaxation, or input parsing fails.

Additional References

Load these on demand:

  • references/pseudopotential-kpoints-and-occupations.md for pseudo selection, k-point modes, and metallic versus insulating occupation logic
  • references/restarts-and-postprocessing.md for clean restarts, prefix/outdir, NSCF, DOS, and bands handoff
  • references/cutoff-and-mixing-matrix.md for ecutwfc, ecutrho, mixing, and SCF stabilization choices
  • references/cluster-execution-playbook.md for stage handoff, prefix or outdir discipline, and cluster launch choices

Reusable Templates

Use assets/templates/ when a concrete starting input is needed, especially:

  • scf_si.in
  • relax_si.in
  • bands_si.in
  • qe-pwx-slurm.sh

Guardrails

  • Do not mix pseudopotentials, cutoffs, and occupations without checking compatibility.
  • Do not treat k-point density as an afterthought.
  • Do not use a relaxation or bands workflow when the structure and SCF ground state are not ready.
  • Do not guess namelist keys from other DFT codes.

Outputs

Summarize:

  • workflow stage such as SCF, relax, or bands
  • pseudopotential and species setup
  • k-point strategy
  • key convergence controls and expected outputs

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
34
Repository forks
6
7-day trend score
18

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 27 Apr 2026, 6 months ago.

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