a5c-ai/nanosensor-calibration-manager
library/specializations/domains/science/nanotechnology/skills/nanosensor-calibration-manager/SKILL.md
Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter nanosensor-calibration-managerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- nanosensor-calibration-manager
- description:
- Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
- specialization:
- nanotechnology
- domain:
- science
- category:
- applications
- priority:
- high
- phase:
- 6
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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