UV-Vis-NIR Analyzer
SkillDev toolsUV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis
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 UV-Vis-NIR 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/uv-vis-nir-analyzer/SKILL.md and read by ahel’s review.
Purpose
The UV-Vis-NIR Analyzer skill provides optical characterization of nanomaterials, enabling analysis of electronic transitions, plasmon resonances, and optical bandgaps essential for photonic and optoelectronic applications.
Capabilities
- Absorption/transmission/reflectance spectra
- Localized surface plasmon resonance (LSPR) analysis
- Bandgap determination (Tauc plot)
- Quantum dot emission characterization
- Beer-Lambert quantification
- Aggregation monitoring
Usage Guidelines
Optical Analysis
-
LSPR Analysis
- Monitor peak position and width
- Track sensitivity to environment
- Assess size and shape effects
-
Bandgap Determination
- Apply Tauc plot method
- Select direct/indirect transition
- Report with uncertainty
-
Concentration Quantification
- Apply Beer-Lambert law
- Verify linear range
- Account for scattering
Process Integration
- Multi-Modal Nanomaterial Characterization Pipeline
- Structure-Property Correlation Analysis
- Nanosensor Development and Validation Pipeline
Input Schema
{
"spectrum_file": "string",
"measurement_type": "absorbance|transmittance|reflectance",
"analysis_type": "lspr|bandgap|concentration",
"material_type": "metal_np|semiconductor|quantum_dot"
}
Output Schema
{
"lspr": {
"peak_position": "number (nm)",
"fwhm": "number (nm)",
"extinction_coefficient": "number"
},
"bandgap": {
"value": "number (eV)",
"transition_type": "direct|indirect"
},
"concentration": {
"value": "number",
"unit": "string",
"extinction_used": "number"
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
uv-vis-nir-analyzer- Source
- github.com/a5c-ai/babysitter