nanosensor-calibration-manager
Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
Profile →npx skills add a5c-ai/babysitter --skill nanosensor-calibration-manager --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 { "c
- Purpose
- Capabilities
- Usage Guidelines
- Sensor Calibration
- Process Integration
- Input Schema
- Output Schema
What does the nanosensor-calibration-manager skill do?
Nanosensor characterization skill for calibration, sensitivity analysis, and selectivity validation
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill nanosensor-calibration-manager --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.