Nanosensor Calibration Manager
SkillDev toolsNanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
Use Nanosensor Calibration Manager in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Nanosensor Calibration Manager skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/nanosensor-calibration-manager/SKILL.md and read by Ahel’s review.
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"
}]
}
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
nanosensor-calibration-manager- Source
- github.com/a5c-ai/babysitter