About sensor-calibration-workbench
sensor-calibration-workbench is a skill for calibrating sensors and checking measurement reliability in Arduino projects. It is intended for developers dealing with offset, drift, or unstable readings, and emphasizes reference evidence, coefficient persistence, and verification.
Key features
- 01Classify sensor reading problems
- 02Choose one-point, two-point, or environmental calibration
- 03Gather reference and environmental evidence
- 04Plan coefficient storage and revalidation
- 05Verify calibrated reading stability
Use cases
- 01Tune a load-cell scale factor
- 02Calibrate CO2, magnetometer, or color sensors
- 03Distinguish calibration, hardware, and environmental problems
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ wedsamuel1230/ arduino-skills --skill sensor-calibration-workbenchAfter installing, type/sensor-calibration-workbenchin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/calibration-flow.mdcommon-failure-patterns.mdpersistence-and-revalidation.mdDetails
From the project READMESensor Calibration Workbench
Use this skill when the sensor technically works, but the readings are not yet trustworthy enough for the project.
Resources
references/calibration-flow.md- end-to-end calibration workflow and evidence checklistreferences/common-failure-patterns.md- warm-up, scaling, drift, saturation, and environment mistakesreferences/persistence-and-revalidation.md- storing coefficients and deciding when recalibration is needed
When to Use
Use this skill when the request involves:
- volatile or implausible sensor readings
- "how do I calibrate this sensor?"
- load-cell factor tuning
- CO2, magnetometer, or color-sensor calibration
- storing calibration coefficients in EEPROM or flash
- deciding whether the problem is calibration, hardware, or environment
Do not use this skill when the sensor is not detected at all. That should route through hardware or bus bring-up first.
Workflow
- Confirm the measurement problem:
- unstable -> open
references/common-failure-patterns.md - offset or scaling error -> open
references/calibration-flow.md - values good once but bad later -> open
references/persistence-and-revalidation.md
- unstable -> open
- Identify the calibration class:
- one-point or zero-offset
- two-point scale calibration
- multi-orientation or environmental calibration
- Collect reference evidence before changing coefficients:
- known reference values
- warm-up state
- ambient conditions
- sample stability
- Decide how calibration values will persist and how revalidation will be triggered after reboot, firmware update, or field drift.
Core Rules
- Calibration without a known reference is guesswork.
- Warm-up and stabilization time are part of calibration, not a side note.
- Do not mix hardware-fault symptoms with coefficient-tuning symptoms.
- Store both the calibration values and enough metadata to know when they became stale.
Verification
- Confirm readings converge toward a known reference after calibration.
- Confirm the calibrated values stay stable across repeated samples.
- Confirm stored coefficients reload correctly after restart.
- If the project has operating thresholds, verify those thresholds against the calibrated output rather than the raw sensor value.
Integration
- Pair with
i2c-bringup-diagnosticianorcircuit-debuggerwhen the sensor is not yet electrically trustworthy. - Pair with
arduino-code-generatorwhen the user needs persistence or filtering code added to the sketch. - Pair with
field-power-and-connectivity-triagerwhen sensor behavior changes only off USB or under field power conditions.
Shared Output Contract
Use the shared Arduino skill contract: state assumptions, required tools and versions, implementation steps, tests/evidence by proof stage, known limitations, and recovery/security notes.