Scanning Tunneling Microscopy skill for atomic-resolution imaging and local density of states measurements
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill stm-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: stm-analyzer
description: Scanning Tunneling Microscopy skill for atomic-resolution imaging and local density of states measurements
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: microscopy-characterization
priority: medium
phase: 6
tools-libraries:
- WSxM
- SPECS software
- Custom STM analysis tools
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]
---
# STM Analyzer
## Purpose
The STM Analyzer skill provides atomic-resolution surface analysis through scanning tunneling microscopy, enabling visualization of atomic structures and measurement of local electronic properties.
## Capabilities
- Atomic-resolution imaging
- STS (Scanning Tunneling Spectroscopy)
- Local density of states mapping
- Surface reconstruction analysis
- Molecular imaging
- Low-temperature operation protocols
## Usage Guidelines
### STM Analysis
1. **Imaging**
- Optimize tunneling parameters
- Apply drift correction
- Identify atomic features
2. **Spectroscopy**
- Acquire dI/dV spectra
- Map electronic states
- Identify band structure features
3. **Data Processing**
- Apply Fourier filtering
- Correct for thermal drift
- Calibrate atomic distances
## Process Integration
- In-Situ Characterization Experiment Design
- Structure-Property Correlation Analysis
## Input Schema
```json
{
"data_file": "string",
"analysis_type": "imaging|spectroscopy|sts_mapping",
"bias_voltage": "number (V)",
"setpoint_current": "number (nA)"
}
```
## Output Schema
```json
{
"imaging": {
"atomic_structure": "string",
"lattice_constant": "number (nm)",
"defects_identified": ["string"]
},
"spectroscopy": {
"band_gap": "number (eV)",
"fermi_level": "number (eV)",
"density_of_states": {"energy": [], "dos": []}
}
}
```
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