UV-Vis-NIR Analyzer

SkillDev tools

UV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis

Use UV-Vis-NIR Analyzer in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add UV-Vis-NIR Analyzer and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use the UV-Vis-NIR Analyzer skill

Details

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.

No other account needed.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

UV-Vis-NIR AnalyzerStart free

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: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: uv-vis-nir-analyzer
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter