can

What problem does it solve?

Embedded developers and integrators face a recurring gap between code and hardware: discovering available CAN adapters, capturing live traffic, sending test frames, decoding messages with DBC files, and producing structured logs usually requires manual tooling and context switching. This skill consolidates those steps so an AI assistant can operate CAN interfaces end-to-end without repeated human intervention.

Core Features & Use Cases

• Interface discovery: automatically scan USB-CAN adapters and SocketCAN interfaces and surface candidates for selection.
• Real-time monitoring: continuous capture with ID filtering, optional CAN-FD support, and optional DBC decoding.
• Frame sending & replay: send standard/extended/remote/CAN-FD frames once, repeatedly, or periodically and optionally listen for responses.
• Logging & decoding: record to ASC/BLF/CSV, decode single frames or logs with DBC/ARXML/KCD using cantools.
• Statistics & analysis: compute per-ID rates, bus load estimates, data-change counts, and export structured JSON results.
• Use case example: scan for a connected PEAK adapter, start a monitor to decode vehicle.dbc, record to an ASC file, and produce a JSON summary for automated test verification.

Quick Start

Use the can skill to scan available CAN interfaces and start a 10 second monitor on can0 with DBC vehicle.dbc and JSON output.