nanosensor-calibration-manager

Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation

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Best use case

nanosensor-calibration-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation

Teams using nanosensor-calibration-manager should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/nanosensor-calibration-manager/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/nanotechnology/skills/nanosensor-calibration-manager/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/nanosensor-calibration-manager/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How nanosensor-calibration-manager Compares

Feature / Agentnanosensor-calibration-managerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

1. **Calibration Curve**
   - Prepare standard solutions
   - Measure sensor response
   - Fit calibration model

2. **Performance Metrics**
   - Calculate LOD (3 sigma method)
   - Determine linear range
   - Assess sensitivity (slope)

3. **Selectivity Testing**
   - Test interferents
   - Calculate selectivity coefficients
   - Validate in complex matrices

## Process Integration

- Nanosensor Development and Validation Pipeline

## Input Schema

```json
{
  "sensor_id": "string",
  "analyte": "string",
  "concentration_range": {"min": "number", "max": "number", "unit": "string"},
  "interferents": ["string"],
  "matrix": "buffer|serum|environmental"
}
```

## Output Schema

```json
{
  "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"
  }]
}
```