# Afm Spm Analyzer

> Atomic Force Microscopy and Scanning Probe Microscopy skill for nanoscale topography, mechanical, and electrical property mapping

- Skill: `a5c-ai/afm-spm-analyzer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/afm-spm-analyzer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/afm-spm-analyzer/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/afm-spm-analyzer

---


# AFM-SPM Analyzer

## Purpose

The AFM-SPM Analyzer skill provides comprehensive atomic force and scanning probe microscopy data analysis for nanoscale surface characterization, including topography, mechanical properties, and electrical measurements.

## Capabilities

- Topography imaging and analysis
- Surface roughness calculation (Ra, RMS)
- Force-distance curve analysis
- Nanoindentation and mechanical mapping
- Kelvin probe force microscopy (KPFM)
- Conductive AFM measurements

## Usage Guidelines

### AFM Analysis Workflow

1. **Topography Analysis**
   - Apply plane leveling corrections
   - Remove artifacts and noise
   - Calculate roughness parameters

2. **Mechanical Mapping**
   - Calibrate cantilever spring constant
   - Apply contact mechanics models
   - Generate modulus maps

3. **Electrical Measurements**
   - Calibrate work function reference
   - Map surface potential
   - Measure local conductivity

## Process Integration

- Multi-Modal Nanomaterial Characterization Pipeline
- In-Situ Characterization Experiment Design
- Thin Film Deposition Process Optimization

## Input Schema

```json
{
  "data_file": "string",
  "analysis_type": "topography|force_curves|mechanical|electrical",
  "cantilever_specs": {
    "spring_constant": "number (N/m)",
    "tip_radius": "number (nm)"
  }
}
```

## Output Schema

```json
{
  "topography": {
    "Ra": "number (nm)",
    "RMS": "number (nm)",
    "Rmax": "number (nm)",
    "image_path": "string"
  },
  "mechanical": {
    "modulus": "number (GPa)",
    "adhesion": "number (nN)",
    "deformation": "number (nm)"
  },
  "electrical": {
    "surface_potential": "number (mV)",
    "work_function": "number (eV)"
  }
}
```