XPS Surface Analyzer

SkillDev tools

X-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.

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

  1. Survey Spectra

    • Identify all elements present
    • Check for unexpected contamination
    • Plan high-resolution scans
  2. Peak Fitting

    • Apply appropriate background (Shirley, Tougaard)
    • Constrain FWHM within physical limits
    • Assign chemical states from binding energy
  3. 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