afm-spm-analyzer
Atomic Force Microscopy and Scanning Probe Microscopy skill for nanoscale topography, mechanical, and electrical property mapping
npx skills add a5c-ai/babysitter --skill afm-spm-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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": { "
- Purpose
- Capabilities
- Usage Guidelines
- AFM Analysis Workflow
- Process Integration
- Input Schema
- Output Schema
What does the afm-spm-analyzer skill do?
Atomic Force Microscopy and Scanning Probe Microscopy skill for nanoscale topography, mechanical, and electrical property mapping
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill afm-spm-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.