Jlink

If you're working with J-Link probes and need to flash firmware, read RTT logs, or debug ARM targets without leaving your editor, this handles the full workflow. It wraps JLink.exe, JLinkGDBServerCL, and arm-none-eabi-gdb into a unified interface with JSON output. You can halt execution, step through instructions, set breakpoints by address, or drop into source-level GDB sessions when you have an ELF file. The config setup is two-tier: tool paths live in the skill directory, device parameters (chip model, SWD vs JTAG, speed) live in your workspace. It won't guess your chip type or auto-select probes, which is the right call when a wrong guess bricks something.

skills.sh installs: 712
GitHub stars: 791
last updated: Aug 21, 2026

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Install

$ npx -y skills add zhinkgit/embeddedskills --skill jlink --agent claude-code

Installs into .claude/skills of the current project.

Files

J-Link 下载与在线调试

本 skill 提供 J-Link 探针的设备探测、固件烧录、内存读写、寄存器查看、目标复位、RTT 日志读取，以及轻量在线调试和 GDB 源码级调试能力。

配置

环境级配置（skill/config.json）

skill 目录下的 config.json 包含环境级配置（工具路径、端口号等），首次使用前确认 exe 路径正确：

{
  "exe": "C:\\Program Files\\SEGGER\\JLink\\JLink.exe",
  "gdbserver_exe": "C:\\Program Files\\SEGGER\\JLink\\JLinkGDBServerCL.exe",
  "rtt_exe": "C:\\Program Files\\SEGGER\\JLink\\JLinkRTTClient.exe",
  "gdb_exe": "C:\\Program Files\\Arm\\GNU Toolchain mingw-w64-x86_64-arm-none-eabi\\bin\\arm-none-eabi-gdb.exe",
  "serial_no": "",
  "rtt_telnet_port": 0,
  "swo_command": [],
  "operation_mode": 1
}

exe：JLink.exe 完整路径（必填）
gdbserver_exe：JLinkGDBServerCL.exe 路径，RTT 和 GDB 调试需要
rtt_exe：JLinkRTTClient.exe 路径
gdb_exe：arm-none-eabi-gdb 路径，GDB 源码级调试需要
serial_no：默认探针序列号，多探针场景下使用
rtt_telnet_port：RTT 端口，0 表示使用工具默认值
swo_command：可选，完整 SWO viewer 命令数组，供 jlink_swo.py 包装
operation_mode：1 直接执行 / 2 输出风险摘要但不阻塞 / 3 执行前确认

工程级配置（.embeddedskills/config.json）

设备参数（device/interface/speed）统一在工作区的 .embeddedskills/config.json 中管理：

{
  "jlink": {
    "device": "STM32F407VG",
    "interface": "SWD",
    "speed": "4000"
  }
}

SKILL.md on GitHub

Details

Repository: github.com/zhinkgit/embeddedskills
First seen: Jun 3, 2026

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