XPS Surface Analyzer
SkillDev toolsX-ray Photoelectron Spectroscopy analysis skill for surface composition, chemical state, and depth profiling
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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 XPS Surface 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/xps-surface-analyzer/SKILL.md and read by ahel’s review.
Purpose
The XPS Surface Analyzer skill provides comprehensive X-ray Photoelectron Spectroscopy data analysis for nanomaterial surface characterization, enabling quantitative determination of surface composition, chemical states, and depth-dependent composition profiles.
Capabilities
- Survey and high-resolution spectra acquisition
- Peak fitting and deconvolution
- Chemical state identification
- Quantitative surface composition
- Depth profiling analysis
- Charge correction and calibration
Usage Guidelines
XPS Analysis Workflow
-
Survey Spectra
- Identify all elements present
- Check for unexpected contamination
- Plan high-resolution scans
-
Peak Fitting
- Apply appropriate background (Shirley, Tougaard)
- Constrain FWHM within physical limits
- Assign chemical states from binding energy
-
Quantification
- Apply relative sensitivity factors
- Account for matrix effects
- Report with appropriate uncertainty
Process Integration
- Multi-Modal Nanomaterial Characterization Pipeline
- Nanomaterial Surface Functionalization Pipeline
- Structure-Property Correlation Analysis
Input Schema
{
"sample_id": "string",
"elements_of_interest": ["string"],
"analysis_type": "survey|high_resolution|depth_profile",
"charge_reference": "C1s|Au4f|other"
}
Output Schema
{
"composition": [{
"element": "string",
"concentration": "number (at%)",
"uncertainty": "number"
}],
"chemical_states": [{
"element": "string",
"state": "string",
"binding_energy": "number (eV)",
"fraction": "number (%)"
}],
"depth_profile": {
"depths": ["number (nm)"],
"compositions": [{}]
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
xps-surface-analyzer- Source
- github.com/a5c-ai/babysitter