Automate construction and validation of VASP four-file input workflows for HPC clusters.
npx skills add https://github.com/SciMate-AI/scicli --skill hpc-vasp
Please help me install this Agent Skill. Skill: hpc-vasp Source: https://github.com/SciMate-AI/scicli/tree/main/internal/skills/bundled/hpc-skills/skills/hpc-vasp Command: npx skills add https://github.com/SciMate-AI/scicli --skill hpc-vasp
HPC users building first-principles workflows often struggle to assemble and validate a coherent four-file input set and to map multi-stage execution on HPC clusters. This skill provides a structured approach to produce, review, and automate VASP input workflows, reducing configuration errors and stage-handling issues.
Generate a ready-to-run VASP input set from the provided templates and references, then validate mutual consistency across INCAR, POSCAR, KPOINTS, and POTCAR.
High-intent search queries and answers about installing and using this skill.
To generate a VASP input set for HPC clusters, you can scaffold the four required files (INCAR, POSCAR, KPOINTS, POTCAR) simultaneously from templates, ensuring mutual consistency and ready-to-run execution configuration.
Automating multi-stage VASP workflows involves mapping stage sequences from relaxation to static, DOS, and bands, ensuring correct stage handoffs and proper artifact management across the entire first-principles calculation process.
Yes, you can use cluster-ready Slurm templates like vasp-standard-slurm.sh to orchestrate and execute VASP first-principles calculations directly within HPC environments.
VASP configuration errors often occur when the four-file input set lacks mutual consistency; validating INCAR, POSCAR, KPOINTS, and POTCAR coherence before execution prevents these stage-handling issues.
Validating POTCAR consistency requires checking the four-file VASP input set holistically, ensuring pseudopotentials align with POSCAR species and INCAR settings to produce a coherent, ready-to-run configuration.
Hongyu-yuGenerate and parse VASP input and output files via pymatgen.io.vasp.
learningmatter-mitPrepare VASP input files and parse vasprun.xml outputs into JSON.
DingyangLyuConfigure VASP access for MatClaw on local or SSH HPC systems.
Hello-QMGenerate Quantum ESPRESSO pw.x inputs and submit DFT jobs to HPC clusters.
