raman-spectroscopy-analyzer
Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
Best use case
raman-spectroscopy-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
Teams using raman-spectroscopy-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/raman-spectroscopy-analyzer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How raman-spectroscopy-analyzer Compares
| Feature / Agent | raman-spectroscopy-analyzer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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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