Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install a5c-ai-babysitter-library-specializations-domains-science-nanotechnology-skills-ragit clone https://github.com/a5c-ai/babysitter.gitcp babysitter/SKILL.MD ~/.claude/skills/a5c-ai-babysitter-library-specializations-domains-science-nanotechnology-skills-ra/SKILL.md---
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
---
# 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"
}
}
```