Embed AI Tool

嵌入式开发技能集的总控入口。负责两类任务：(1) 用户请求安装本仓库 skill 时，引导选择全部或按需安装；(2) 用户发出模糊指令（如"烧录"、"编译"、"调试"）且无法自动判断应使用哪个具体 skill 时，列出同分类下的候选 skill 供用户选择。

1,053 stars 177 forksAI, LLMs & Agents

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool

Manual install

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/. ~/.claude/skills/embed-ai-tool

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# embed-ai-tool 总控

本技能负责两类交互：**安装引导** 和 **指令消歧**。

> **缓存复用提示**：所有 build/flash 脚本启动时会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 agent 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。新会话直接运行目标动作（`--build` / `--flash` 等）即可，缓存命中时参数自动补全。

---

## 一、安装引导

当用户请求安装本仓库的 skill 时，按以下流程引导。**不要跳过询问直接安装**，也不要替用户决定安装内容——先分析工程，再让用户选。

### 流程

1. **分析工程** — 探测当前工作区的工程特征（构建系统、工具链、探针、协议线索等），详见"工程分析项"
2. **呈现分析结果** — 把探测到的事实客观列给用户，未识别出的也要明确说明
3. **提供选项** — 基于分析结果给出可选安装方案（推荐集 / 全部 / 按分类 / 自定义），让用户选择，详见"提供的安装选项"
4. **执行安装** — 根据用户选择执行对应命令；用户可在推荐集基础上增删，不必重走流程

### 工程分析项

按工作区文件特征推断工程画像，规则优先级从高到低：

| 类别 | 文件特征 | 推断结论 | 关联 skill |
|------|----------|----------|-----------|
| 构建系统 | `*.uvprojx` / `*.uvproj` | Keil MDK | `build-keil` `flash-keil` |
| 构建系统 | `*.ewp` / `*.eww` | IAR EWARM | `build-iar` |
| 构建系统 | `platformio.ini` | PlatformIO | `build-platformio` `flash-platformio` `debug-platformio` |
| 构建系统 | `sdkconfig` + `components/` | ESP-IDF | `build-idf` `flash-idf` |
| 构建系统 | `CMakeLists.txt` + `*.cmake` | CMake | `build-cmake` |
| 构建系统 | `Makefile`（无 CMakeLists.txt） | Makefile | `build-makefile` |
| 工具链 | PATH 含 `arm-none-eabi-gcc` | ARM Cortex-M 目标 | — |
| 工具链 | PATH 含 `xtensa-esp32-elf-gcc` | ESP32 (Xtensa) 目标 | — |
| 工具链 | PATH 含 `riscv64-unknown-elf-gcc` | RISC-V 目标 | — |
| 调试器 | `.vscode/launch.json` 含 `openocd` | OpenOCD | `flash-openocd` `debug-gdb-openocd` |
| 调试器 | `*.jlink` 文件或 JLinkExe 在 PATH | J-Link | `flash-jlink` `debug-jlink` |

Read the full skill on GitHub

Details

Skill name: embed-ai-tool
Repository: LeoKemp223/embed-ai-tool
Repo updated: 20 August 2026

FAQ

What does the Embed AI Tool skill do?

How do I install the Embed AI Tool skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Embed AI Tool popular?

It lives in LeoKemp223/embed-ai-tool, which has 1,053 GitHub stars and 177 forks.

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