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Flash Jlink

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LeoKemp223
flash-jlink

当需要使用 SEGGER J-Link 探针烧录固件，或启动 RTT 日志捕获时使用。

Overview

PublisherLeoKemp223
Repositoryembed-ai-tool
Skill nameflash-jlink
Stars
995
Forks
168
Bundled files
3
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by LeoKemp223 on GitHub. Read the source before you install it.

Installation

Install the Flash Jlink AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-jlink
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LeoKemp223/embed-ai-tool.git /tmp/embed-ai-tool
mkdir -p .claude/skills
cp -r /tmp/embed-ai-tool/skills/flash-jlink .claude/skills/flash-jlink
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flash Jlink in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Flash Jlink on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Flash Jlink is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

J-Link 烧录

适用场景

  • 工作区已有可用固件产物，且目标板连接了 SEGGER J-Link 探针。
  • 需要使用 J-Link Commander 进行烧录和校验，而非 OpenOCD。
  • 需要利用 J-Link RTT（Real-Time Transfer）进行高速日志捕获。
  • 需要扫描工作区中的 .jlink 配置文件或 .vscode/launch.json 中的 J-Link 设置。

必要输入

  • 固件产物路径，或包含 artifact_path 的 Project Profile。
  • --device 参数指定目标芯片型号（如 STM32F407VG），J-Link Commander 要求必须指定。
  • 可选的接口类型（SWD 或 JTAG，默认 SWD）和烧录速度。
  • 若产物为 BIN，还需要 --base-address 烧录基地址。

自动探测

  • 脚本启动即自动复用工程根目录 .em_skill.json 中上次成功的 profile 作为默认参数（显式参数优先，无需先手动传 --resume）；--resume 仅用于断言缓存必须存在，无缓存则非零退出。无缓存或用户明确要求重新探测时，脚本自动回退到正常扫描。
  • 按 ELF > HEX > BIN 选择固件产物。
  • 脚本自动查找 JLinkExe，按配置文件、PATH、常见安装路径的顺序搜索。
  • --scan-configs 扫描工作区 .jlink 文件和 .vscode/launch.json 中的 J-Link 配置。
  • 不会猜测设备名；当 --device 缺失时阻塞并返回 ambiguous-context。

执行步骤

  1. 先阅读 references/usage.md，确认本次是环境探测、配置扫描，还是执行烧录。
  2. 若不确定 J-Link 环境状态，先运行自带脚本 scripts/jlink_flasher.py 的 --detect 模式确认。
  3. 若不确定设备型号或接口配置，使用 --scan-configs 扫描工作区线索。
  4. 使用 --artifact + --device 执行烧录，可选 --interface 和 --speed。
  5. 对 BIN 文件，必须同时提供 --base-address。
  6. 需要 RTT 日志时，使用 --rtt 启动 RTT 捕获。
  7. 读取脚本输出的烧录结果报告，重点关注校验状态和失败分类。

失败分流

  • 当 JLinkExe 不可用时，返回 environment-missing。
  • 当无法安全解析到产物，或 BIN 缺少烧录基地址时，返回 artifact-missing。
  • 当 J-Link 无法发现探针或目标时，返回 connection-failure。
  • 当配置文件无效或设备名不被 J-Link 识别时，返回 project-config-error。
  • 当烧录开始但校验或复位失败时，返回 target-response-abnormal。
  • 当 --device 缺失且无法从工作区推断时，返回 ambiguous-context。

平台说明

  • JLinkExe 在 Linux/macOS 下为 JLinkExe，Windows 下为 JLink.exe。
  • SEGGER 默认安装路径：Linux /opt/SEGGER/JLink/，Windows C:\Program Files\SEGGER\JLink\。
  • 自带脚本使用 Python 标准库和 subprocess 调用 JLinkExe，跨平台兼容。
  • RTT 功能为 J-Link 独有，不占用 UART，适合无串口场景。

输出约定

  • 输出 JLinkExe 命令、设备名、接口类型、产物路径和校验结果。
  • 在 Project Profile 中保留或更新 artifact_path、artifact_kind、jlink_device、jlink_interface。
  • 烧录成功后推荐 serial-monitor 或 debug-jlink。

交接关系

  • 当下一步要看运行日志时，将成功烧录结果交给 serial-monitor。
  • 当用户需要 GDB 调试时，将结果交给 debug-jlink。
  • 当需要 RTT 日志替代串口时，可直接使用本 skill 的 --rtt 模式。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Flash Jlink AI skill do?

当需要使用 SEGGER J-Link 探针烧录固件，或启动 RTT 日志捕获时使用。

Why use Flash Jlink on TypingMind?

Because you install it once and use it with any model. Flash Jlink is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Flash Jlink in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-jlink. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Flash Jlink?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Flash Jlink?

As many as you like. As long as a model supports skills, you can use Flash Jlink with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Flash Jlink AI skill free?

It is published on GitHub by LeoKemp223. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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