AFM-SPM Analyzer

SkillDev tools

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

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the AFM-SPM Analyzer skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/afm-spm-analyzer/SKILL.md and read by ahel’s review.

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

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

Output Schema

{
  "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)"
  }
}

Signals

GitHub stars
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Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
afm-spm-analyzer
Source
github.com/a5c-ai/babysitter