uv-vis-nir-analyzer
UV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis
Profile →npx skills add a5c-ai/babysitter --skill uv-vis-nir-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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|bandga
- Purpose
- Capabilities
- Usage Guidelines
- Optical Analysis
- Process Integration
- Input Schema
- Output Schema
What does the uv-vis-nir-analyzer skill do?
UV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill uv-vis-nir-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.