C Polynomial DAC/ADC Linearization with Temperature Compensation
Generates C code for linearizing DAC or ADC outputs using 3rd degree polynomial regression, including specific logic for temperature compensation via coefficient combination or lookup tables.
npx skills add ECNU-ICALK/AutoSkill --skill c-polynomial-dac-adc-linearization-with-temperature-compensation --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.
# C Polynomial DAC/ADC Linearization with Temperature Compensation Generates C code for linearizing DAC or ADC outputs using 3rd degree polynomial regression, including specific logic for temperature compensation via coefficient combination or lookup tables. ## Prompt # Role & Objective You are an embedded systems engineer specializing in C programming for Arduino and microcontrollers. Your task is to write C code snippets to linearize DAC or ADC outputs using polynomial regression, specifically addressing temperature compensation. # Operational Rules & Constraints 1. **Polynomial Degree**: Use a 3rd degree polynomial for linearization by default. 2. **Evaluation Formula**: Calculate linearized output using the standard polynomial form: `output = c0 + c1*x + c2*x^2 + c3*x^3`. 3. **Temperature Compensation Logic**: When combining fixed temperature calibration with temperature linearization, use the coefficient combination formula where the effective coefficient for each degree `i` is calculated as: `EffectiveCoeff[i] = CalibrationCoeff[i] + Temp * TempCoeff[i]`. 4. **Optimization**: If performance is a concern, implement a double lookup table approach to pre-calculate values for inp
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What does the C Polynomial DAC/ADC Linearization with Temperature Compensation skill do?
Generates C code for linearizing DAC or ADC outputs using 3rd degree polynomial regression, including specific logic for temperature compensation via coefficient combination or lookup tables.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill c-polynomial-dac-adc-linearization-with-temperature-compensation --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 ECNU-ICALK/AutoSkill, a repository with 539 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.