Agent skill

raman-spectroscopy-analyzer

Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/raman-spectroscopy-analyzer

Metadata

Additional technical details for this skill

phase
6
domain
science
category
spectroscopy
priority
high
specialization
nanotechnology
tools libraries
[
    "WiRE",
    "LabSpec",
    "Renishaw software",
    "Custom spectral databases"
]

SKILL.md

Raman Spectroscopy Analyzer

Purpose

The Raman Spectroscopy Analyzer skill provides molecular-level characterization of nanomaterials through vibrational spectroscopy, enabling structural identification, defect analysis, and chemical mapping.

Capabilities

  • Raman spectrum acquisition and processing
  • Peak identification and assignment
  • SERS (Surface-Enhanced Raman) analysis
  • Raman mapping and imaging
  • Resonance Raman analysis
  • Graphene/CNT characterization (D/G ratio)

Usage Guidelines

Raman Analysis

  1. Spectrum Acquisition

    • Select appropriate excitation wavelength
    • Optimize power to avoid damage
    • Apply baseline correction
  2. Peak Analysis

    • Identify characteristic peaks
    • Calculate peak ratios (D/G for carbon)
    • Assess crystallinity
  3. Mapping

    • Generate chemical maps
    • Identify phase distributions
    • Quantify heterogeneity

Process Integration

  • Multi-Modal Nanomaterial Characterization Pipeline
  • In-Situ Characterization Experiment Design
  • Structure-Property Correlation Analysis

Input Schema

json
{
  "spectrum_file": "string",
  "excitation_wavelength": "number (nm)",
  "material_type": "string",
  "analysis_type": "identification|mapping|sers"
}

Output Schema

json
{
  "identified_peaks": [{
    "position": "number (cm-1)",
    "assignment": "string",
    "intensity": "number"
  }],
  "structural_parameters": {
    "d_g_ratio": "number (for carbon)",
    "crystallinity": "string"
  },
  "chemical_map": {
    "species": "string",
    "image_path": "string"
  }
}

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