
sensor-calibration-workbench
Use when makers need calibration workflows for sensors such as CO2 sensors, load cells, magnetometers, color sensors, or analog sensors, including warm-up behavior, reference measurements, coefficient storage, and drift checks.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/wedsamuel1230/embedded-engineering-skills --skill sensor-calibration-workbench- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads sensor-calibration-workbench automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Sensor 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.
FAQ
What does the sensor-calibration-workbench skill do?
Use when makers need calibration workflows for sensors such as CO2 sensors, load cells, magnetometers, color sensors, or analog sensors, including warm-up behavior, reference measurements, coefficient storage, and drift checks.
How do I install sensor-calibration-workbench?
Run npx skills add https://github.com/wedsamuel1230/embedded-engineering-skills --skill sensor-calibration-workbench in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sensor-calibration-workbench/ (personal) or .claude/skills/sensor-calibration-workbench/ (project).
Which AI agents can use sensor-calibration-workbench?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is sensor-calibration-workbench safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains sensor-calibration-workbench?
It is published by wedsamuel1230 in wedsamuel1230/embedded-engineering-skills. It has 123 recorded installs.
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