arduino-serial-monitor_skill

Overview

This skill provides advanced tools for reading and analyzing Arduino serial monitor output to speed up debugging and data inspection. It supports real-time monitoring, persistent logging, filtering, pattern matching, and format-aware parsing (text, JSON, CSV, binary). Cross-platform serial support works with arduino-cli or the Arduino IDE workflows.

How this skill works

The tool opens a serial connection to your board and streams lines to the console while optionally writing timestamped logs to a file. It applies user-specified filters or regular expressions, detects common error patterns, and can parse structured payloads (JSON/CSV) to pretty-print or validate them. Color-coded output and timeout handling make noisy sessions easier to scan and troubleshoot.

When to use it

• Monitor serial output during development and after uploading firmware
• Record long runs for post-mortem analysis or test automation
• Filter high-volume output to surface errors or specific telemetry fields
• Parse JSON/CSV payloads from sensors for validation or human review
• Detect communication or memory-related warnings automatically

Best practices

• Verify baud rate in sketch matches monitor settings before connecting
• Use --timestamp when profiling timing or latency across events
• Save logs with clear filenames and timestamps for reproducible debugging
• Combine --filter with --detect-errors to focus on actionable warnings
• When parsing JSON enable --timeout and --pretty for robust, readable output

Example use cases

• Live debugging: open COM3 at 115200, watch errors highlighted and timestamps added
• Data logging: run long-duration experiments and save a timestamped debug.log for analysis
• Sensor validation: filter for "sensor|reading|value" and format output as JSON to inspect fields
• Timing analysis: enable --timestamp and filter for "start|end|duration" to measure operation durations
• CI/integration: compile/upload with arduino-cli, then run the monitor script to verify serial diagnostics after deployment