VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill vasp-dft-executor --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: vasp-dft-executor
description: VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: computational
priority: high
phase: 6
tools-libraries:
- VASP
- VASPKIT
- pymatgen
- ASE
graph:
domains: [domain:nanotechnology]
skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis]
workflows: [workflow:experiment-design]
roles: [role:research-engineer]
---
# VASP DFT Executor
## Purpose
The VASP DFT Executor skill provides density functional theory calculation capabilities using VASP for nanomaterial property prediction, enabling electronic structure analysis, geometry optimization, and materials property computation.
## Capabilities
- Input file generation (INCAR, POSCAR, KPOINTS, POTCAR)
- Geometry optimization
- Electronic band structure calculation
- Density of states analysis
- Formation energy calculation
- Optical property prediction
## Usage Guidelines
### DFT Calculation Workflow
1. **Input Preparation**
- Generate structure files
- Select appropriate pseudopotentials
- Set convergence parameters
2. **Calculation Execution**
- Monitor convergence
- Check for errors
- Manage computational resources
3. **Result Analysis**
- Extract electronic properties
- Analyze band structure
- Calculate derived properties
## Process Integration
- DFT Calculation Pipeline for Nanomaterials
- Multiscale Modeling Integration
- Machine Learning Materials Discovery Pipeline
## Input Schema
```json
{
"structure_file": "string (POSCAR/CIF)",
"calculation_type": "relax|static|band|dos|optical",
"functional": "PBE|HSE06|SCAN",
"kpoint_density": "number",
"encut": "number (eV)"
}
```
## Output Schema
```json
{
"total_energy": "number (eV)",
"bandgap": "number (eV)",
"formation_energy": "number (eV/atom)",
"optimized_structure": "string (CONTCAR)",
"electronic_properties": {
"dos_file": "string",
"band_file": "string"
},
"convergence": {
"energy_converged": "boolean",
"force_converged": "boolean"
}
}
```
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