Best use case
can-bus is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
CAN/CAN-FD bus analysis and development expertise
Teams using can-bus should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/can-bus/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How can-bus Compares
| Feature / Agent | can-bus | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
CAN/CAN-FD bus analysis and development expertise
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# CAN Bus Skill ## Overview This skill provides comprehensive CAN and CAN-FD bus analysis, development, and debugging capabilities for automotive and industrial embedded systems. ## Capabilities ### Message Frame Operations - CAN message frame generation - Frame analysis and decoding - Identifier filtering and masking - Standard (11-bit) and extended (29-bit) IDs - Remote frame handling ### DBC File Support - DBC file parsing and generation - Signal decoding and encoding - Message definition management - Physical value scaling - Multiplexed signal support ### Protocol Support - CAN 2.0A/B compliance - CAN-FD configuration and validation - J1939 transport protocol - CANopen communication - UDS (ISO 14229) diagnostics - ISO-TP (ISO 15765-2) ### Bus Analysis - Bus arbitration analysis - Error frame detection and analysis - Bus-off recovery monitoring - Bus load calculation - Bit timing verification - Network topology analysis ### Gateway Operations - Message routing configuration - Gateway bridge setup - Protocol translation - Filtering and forwarding rules ## Target Processes - `device-driver-development.js` - CAN driver implementation - `signal-integrity-testing.js` - CAN bus signal validation - `hw-sw-interface-specification.js` - CAN interface definition - `functional-safety-certification.js` - CAN safety requirements ## Dependencies - CAN interface tools (PEAK, Vector, Kvaser) - DBC files for signal decoding - CAN analyzer hardware - SocketCAN (Linux) ## Usage Context This skill is invoked when tasks require: - CAN driver development - Bus communication debugging - DBC-based signal analysis - Protocol stack implementation - Automotive networking ## Configuration Examples ### CAN Bit Timing ```yaml can: bitrate: 500000 # 500 kbps sample_point: 87.5 sjw: 1 seg1: 13 seg2: 2 prescaler: 4 ``` ### CAN-FD Configuration ```yaml can_fd: nominal_bitrate: 500000 data_bitrate: 2000000 brs: enabled # Bit Rate Switch esi: enabled # Error State Indicator ``` ### DBC Signal Definition ```dbc BO_ 0x123 EngineData: 8 ECU SG_ EngineRPM : 0|16@1+ (0.25,0) [0|16383.75] "rpm" Vector__XXX SG_ EngineTemp : 16|8@1+ (1,-40) [-40|215] "C" Vector__XXX ```
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