MCPInstall

sensor-signal-filtering

Use when the main problem is a noisy or aliased analog/ADC signal and the task needs signal-chain diagnosis or filter-path selection across sampling, anti-aliasing, RC/input conditioning, ADC source impedance/settling, latency, startup, saturation, or raw/fault observability. Apply it when software filtering and hardware signal conditioning interact, even when the request only says that an analog sensor is unstable. Hand reusable Arduino snippets to arduino-code-generator, board facts to board-support, voltage/pin/rail safety to wiring-safety-check or circuit-debugger, and calibration after detection to sensor-calibration-workbench.

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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-signal-filtering
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads sensor-signal-filtering automatically when relevant.

  3. 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 Signal Filtering

Design the signal chain from sensor output to reported value. Keep raw samples, filtered values, timing, saturation, and fault flags observable; a filter must not conceal a broken sensor or unsafe voltage.

Intake gate

Record or label unknowns before selecting a component or algorithm:

  • exact board, MCU, core/framework, ADC channel, resolution, reference, input range, acquisition time, and toolchain versions
  • sensor part/module, output type and drive impedance, supply, cable length, expected signal bandwidth, valid range, warm-up, and failure behavior
  • sample period/jitter budget, acceptable latency, step-response requirement, threshold policy, calibration model, and available measurement tools

Resolve the board with board-support before board-specific ADC advice. For physical or multi-session work, load embedded-project-loop first and keep its measurement gate open.

Workflow

  1. Capture raw samples at a stated, repeatable rate before filtering. Separate sensor dynamics from spikes, aliasing, quantization, ADC settling, rail/ ground noise, EMI, and calibration error.
  2. Set the sampling rate from the signal bandwidth and latency budget. Check Nyquist and alias attenuation; do not use a software filter to recover information already aliased into the band.
  3. Choose one filter with an explicit window/alpha/model and calculate its startup behavior, delay, memory, CPU cost, and effect on thresholds. Common starting choices are moving-average for bounded windows, median for isolated spikes, and EMA/IIR for low-cost smoothing; model-based filters require a stated model and noise assumptions.
  4. Check the analog path: sensor loading, RC cutoff, ADC acquisition/settling, reference and ground, cable/noise coupling, input protection, voltage limits, decoupling, and motor/radio current return paths.
  5. Implement raw-plus-filtered telemetry and fault/saturation indicators. Validate deterministic vectors on the host before target compilation.
  6. Change one causal variable per hardware iteration. Measure the ADC pin and supply/ground with the same configuration used by the firmware.

Load on demand

  • Read references/filter-selection.md for sampling math, algorithm tradeoffs, calibration order, and latency choices.
  • Read references/analog-front-end.md for RC/input networks, ADC drive/settling, wiring, protection, and measurements.
  • Read references/verification-and-tdd.md for host, simulation, build, target, and system gates.
  • Use the diagnostic-only examples/adc-filter-pipeline.ino as a board-neutral fixed-rate EMA starting point; fill in board-specific ADC assumptions before converting counts to volts. Reusable generated filtering patterns remain owned by arduino-code-generator.
  • Run the deterministic helper with python3 scripts/filter_benchmark.py --help or a captured vector. It is a design/TDD aid, not a replacement for target timing or electrical measurements.

The existing arduino-code-generator filtering pattern owns reusable code snippets. This skill owns signal-chain diagnosis, filter selection, hardware interaction, and evidence boundaries. Use circuit-debugger for fault isolation, wiring-safety-check for logic and rail limits, and sensor-calibration-workbench only after detection and signal integrity are established.

Output contract

Use the shared Arduino skill contract: state assumptions, required tools and versions, implementation steps, tests/evidence, known limitations, and recovery/security notes.

  • Build proof: host tests and an exact-board compile, if run.
  • Upload proof: an uploader result for a named port/image, if run.
  • Hardware proof: measured ADC pin, rail/ground, waveform, or wiring result.
  • System proof: observed sensor behavior under the real load/environment.
  • Deployment proof: field rollout, rollback, and maintenance evidence.

Never promote a passing host test, HTTP response, serial banner, or CI job to hardware or system proof. If the board, sensor, circuit, or measurement is unknown, stop at a bounded plan and name the next measurement.

FAQ

What does the sensor-signal-filtering skill do?

Use when the main problem is a noisy or aliased analog/ADC signal and the task needs signal-chain diagnosis or filter-path selection across sampling, anti-aliasing, RC/input conditioning, ADC source impedance/settling, latency, startup, saturation, or raw/fault observability. Apply it when software filtering and hardware signal conditioning interact, even when the request only says that an analog sensor is unstable. Hand reusable Arduino snippets to arduino-code-generator, board facts to board-support, voltage/pin/rail safety to wiring-safety-check or circuit-debugger, and calibration after detection to sensor-calibration-workbench.

How do I install sensor-signal-filtering?

Run npx skills add https://github.com/wedsamuel1230/embedded-engineering-skills --skill sensor-signal-filtering 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-signal-filtering/ (personal) or .claude/skills/sensor-signal-filtering/ (project).

Which AI agents can use sensor-signal-filtering?

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-signal-filtering 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-signal-filtering?

It is published by wedsamuel1230 in wedsamuel1230/embedded-engineering-skills. It has 63 recorded installs.

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