Agent skill
nanosensor-calibration-manager
Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/nanosensor-calibration-manager
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- applications
- priority
- high
- specialization
- nanotechnology
- tools libraries
-
[ "Sensor calibration software", "Data analysis tools" ]
SKILL.md
Nanosensor Calibration Manager
Purpose
The Nanosensor Calibration Manager skill provides comprehensive characterization of nanomaterial-based sensors, enabling systematic calibration, sensitivity optimization, and selectivity validation for analytical applications.
Capabilities
- Calibration curve generation
- Limit of detection (LOD) calculation
- Sensitivity and dynamic range analysis
- Selectivity and interference testing
- Response time characterization
- Long-term stability assessment
Usage Guidelines
Sensor Calibration
-
Calibration Curve
- Prepare standard solutions
- Measure sensor response
- Fit calibration model
-
Performance Metrics
- Calculate LOD (3 sigma method)
- Determine linear range
- Assess sensitivity (slope)
-
Selectivity Testing
- Test interferents
- Calculate selectivity coefficients
- Validate in complex matrices
Process Integration
- Nanosensor Development and Validation Pipeline
Input Schema
{
"sensor_id": "string",
"analyte": "string",
"concentration_range": {"min": "number", "max": "number", "unit": "string"},
"interferents": ["string"],
"matrix": "buffer|serum|environmental"
}
Output Schema
{
"calibration": {
"equation": "string",
"r_squared": "number",
"linear_range": {"min": "number", "max": "number"}
},
"performance": {
"lod": "number",
"loq": "number",
"sensitivity": "number",
"response_time": "number (seconds)"
},
"selectivity": [{
"interferent": "string",
"selectivity_coefficient": "number"
}]
}
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