Raman Spectroscopy Analyzer
SkillDev toolsRaman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
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 Raman Spectroscopy 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/raman-spectroscopy-analyzer/SKILL.md and read by ahel’s review.
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
-
Spectrum Acquisition
- Select appropriate excitation wavelength
- Optimize power to avoid damage
- Apply baseline correction
-
Peak Analysis
- Identify characteristic peaks
- Calculate peak ratios (D/G for carbon)
- Assess crystallinity
-
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
{
"spectrum_file": "string",
"excitation_wavelength": "number (nm)",
"material_type": "string",
"analysis_type": "identification|mapping|sers"
}
Output Schema
{
"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"
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
raman-spectroscopy-analyzer- Source
- github.com/a5c-ai/babysitter