uv-vis-nir-analyzer

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

509 stars

Best use case

uv-vis-nir-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using uv-vis-nir-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

$curl -o ~/.claude/skills/uv-vis-nir-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/nanotechnology/skills/uv-vis-nir-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/uv-vis-nir-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How uv-vis-nir-analyzer Compares

Feature / Agentuv-vis-nir-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

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

# UV-Vis-NIR Analyzer

## 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

1. **LSPR Analysis**
   - Monitor peak position and width
   - Track sensitivity to environment
   - Assess size and shape effects

2. **Bandgap Determination**
   - Apply Tauc plot method
   - Select direct/indirect transition
   - Report with uncertainty

3. **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

```json
{
  "spectrum_file": "string",
  "measurement_type": "absorbance|transmittance|reflectance",
  "analysis_type": "lspr|bandgap|concentration",
  "material_type": "metal_np|semiconductor|quantum_dot"
}
```

## Output Schema

```json
{
  "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"
  }
}
```

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