vasp-dft-executor
VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials
Best use case
vasp-dft-executor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials
Teams using vasp-dft-executor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/vasp-dft-executor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How vasp-dft-executor Compares
| Feature / Agent | vasp-dft-executor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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