Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill raman-spectroscopy-analyzer --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: raman-spectroscopy-analyzer
description: Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: spectroscopy
priority: high
phase: 6
tools-libraries:
- WiRE
- LabSpec
- Renishaw software
- Custom spectral databases
graph:
domains: [domain:nanotechnology]
skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis]
workflows: [workflow:experiment-design]
roles: [role:research-engineer]
---
# 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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