Agent skill
uv-vis-nir-analyzer
UV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/uv-vis-nir-analyzer
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- spectroscopy
- priority
- high
- specialization
- nanotechnology
- tools libraries
-
[ "UV Probe", "Lambda software", "Custom analysis scripts" ]
SKILL.md
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
-
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"
}
}
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?