Esp32 Firmware Engineer
alxv2016/folloup-sticky
ESP32 firmware engineering for ESP-IDF projects. An agent skill from alxv2016/folloup-sticky.
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。
Install Embed AI Tool
$ npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoKemp223/embed-ai-tool embed-ai-tool --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "embed-ai-tool" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master into .claude/skills/embed-ai-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "embed-ai-tool", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoKemp223/embed-ai-tool embed-ai-tool --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "embed-ai-tool" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master into .agents/skills/embed-ai-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "embed-ai-tool", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoKemp223/embed-ai-tool embed-ai-tool --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "embed-ai-tool" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master into .cursor/skills/embed-ai-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "embed-ai-tool", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoKemp223/embed-ai-tool embed-ai-tool --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "embed-ai-tool" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master into .gemini/skills/embed-ai-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "embed-ai-tool", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoKemp223/embed-ai-tool embed-ai-toolInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "embed-ai-tool" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master into .github/skills/embed-ai-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "embed-ai-tool", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoKemp223/embed-ai-tool embed-ai-tool --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "embed-ai-tool" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master into .opencode/skills/embed-ai-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "embed-ai-tool", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
embed-ai-tool- GitHub stars
- 991
- Token cost
- ~2.4k tokens
- SKILL.md length
- 661 words
- Files
- 28 (incl. scripts)
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- None found
At a glance
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。
- Works in 4 steps: 分析工程 —… → 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 → 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 /… → …
- Development work in your project
- SKILL.md covers 一、安装引导, 二、指令消歧 and 安装后提示
- Runs Python scripts from its folder; calls npx and python3
What it does
Embed AI Tool is an agent skill from LeoKemp223/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。
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files, including scripts (for example `.claude/settings.json`, `CONTRIBUTING.md` and `INSTALL.md`).
It sits in Development. It works with ESP32 and C++. The repository describes itself as: 面向 AI 编程助手的嵌入式开发技能集，为大模型提供 MCU 固件开发全流程能力。涵盖多工具链构建（Keil / IAR / CMake / PlatformIO）、烧录、GDB 调试、串口监视、Modbus / CAN / VISA 协议调试、外设驱动适配及流水线编排，支持 Linux、macOS、Windows 三平台。
When your agent uses it
- Development work in your project
Example prompts
- “/embed-ai-tool”
Requirements
- Python 3
- Node.js
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 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"
- 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
- 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"
- 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
What it can do on your machine
Read from SKILL.md and the folder at commit 9218f23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
npxpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Embed AI Tool loads about 2.4k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 661 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 661 words (~2,392 tokens).
- name
- embed-ai-tool
- metadata.internal
- true
Files
SKILL.md and 27 other files (scripts) in the repository root of LeoKemp223/embed-ai-tool.
- SKILL.md
- .claude/settings.json
- .gitattributes
- .gitignore
- CONTRIBUTING.md
- INSTALL.md
- INSTALL_EN.md
- README.md
- README_EN.md
- scripts/em_config.py
- scripts/install.py
- scripts/validate_repo.py
- shared/contracts.md
- shared/failure-taxonomy.md
- shared/idf_env.py
- shared/platform-compatibility.md
- shared/profile_store.py
- shared/project_detect.py
- … and 10 more
Open the folder on GitHubat commit 9218f23
Compare with similar skills
Embed AI Tool next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Embed AI Tool this skillLeoKemp223/embed-ai-tool | 991 | — | ~2.4k | Automated safety check: Pass | None | |
| Esp32 Firmware Engineeralxv2016/folloup-sticky | 117 | 1 repos | ~3.8k | Automated safety check: Pass | GPL-3.0 | |
| Auto EmbeddedDunCanYounG-1/MICU-auto-embedded | 253 | — | ~1.6k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Embedded Cpp14 MisraBlueAndi/Pixelix | 443 | — | ~2k | Automated safety check: Pass | MIT | |
| Embedded Cpp14 MisraBlueAndi/Pixelix | 443 | — | ~2.2k | Automated safety check: Pass | MIT | |
| C64 Meatloaf Debugidolpx/meatloaf | 128 | — | ~12k | Automated safety check: Pass | GPL-3.0 |
Similar skills
Auto Embedded
DunCanYounG-1/MICU-auto-embedded
全平台嵌入式 AI 开发框架（对标 Trellis）：把 RIPER-5 五阶段协议 + 四文件记忆 + 分层架构门禁 + Scout/Builder/Verifier 多 Agent + 24 个工具调用技能（build/flash/debug/serial/can/modbus/visa/static/memory/rtos/scons），做成『装进工程、项目级 hook…
Embedded Cpp14 Misra
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A skill your agent uses when writing, reviewing, or refactoring C/C++ firmware code in this repository (src/, lib/, test/) — creating or editing .h/.hpp/.cpp files, applying MISRA-oriented and…
Embedded Cpp14 Misra
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Write, review and refactor embedded C/C++14 firmware code in this repository (src/, lib/, test/) with MISRA-oriented rules, defensive programming, Yoda conditions, single-exit/pathfinder control…
C64 Meatloaf Debug
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Debug Commodore 64 BASIC programs, cc65-compiled C PRGs, and Meatloaf ESP32 firmware in tandem, using the Ultimate 64's REST API and Meatloaf's UART serial debug output.
Esp32 Development
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More from LeoKemp223/embed-ai-tool
All 25 skills in this repoBuild Keil
LeoKemp223/embed-ai-tool
当需要通过 Keil MDK 命令行编译嵌入式工程，调用自带脚本解析工程文件、执行构建并定位固件产物时使用. An agent skill from LeoKemp223/embed-ai-tool.
Flash Keil
LeoKemp223/embed-ai-tool
当需要通过 Keil MDK 内置调试器烧录固件到目标板时使用，利用工程中已配置的调试器和 Flash 算法执行下载. An agent skill from LeoKemp223/embed-ai-tool.
Logic Analyzer
LeoKemp223/embed-ai-tool
当需要用 Saleae 逻辑分析仪在线采集数字波形并解码 I2C/SPI/UART/CAN 时使用，通过 Logic 2 自动化服务驱动硬件采集、添加协议解码器并导出数据。
Workflow
LeoKemp223/embed-ai-tool
当需要串联多个 skill 完成编译+烧录+监控或编译+烧录+调试等流水线任务时使用. An agent skill from LeoKemp223/embed-ai-tool.
Can Debug
LeoKemp223/embed-ai-tool
当需要调试 CAN 总线通信时使用，支持通过 USB-CAN 适配器监听、发送 CAN 帧和扫描节点. An agent skill from LeoKemp223/embed-ai-tool.
Debug Platformio
LeoKemp223/embed-ai-tool
当需要通过 PlatformIO 内置调试功能对目标板进行 GDB 调试时使用，支持下载暂停、附加和崩溃现场分析. An agent skill from LeoKemp223/embed-ai-tool.
Related
Categories
Questions about Embed AI Tool
What does Embed AI Tool do?
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。. Embed AI Tool is an agent skill from LeoKemp223/embed-ai-tool.
When should I use Embed AI Tool?
Embed AI Tool fits situations like: development work in your project.
How do I install Embed AI Tool in Claude Code?
Run `npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a claude-code`. Or copy the skill folder (the LeoKemp223/embed-ai-tool repository) into .claude/skills/embed-ai-tool in your project. Claude Code loads it when a task matches its description.
How do I install Embed AI Tool in Codex?
Run `npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a codex`. Or copy the skill folder (the LeoKemp223/embed-ai-tool repository) into .agents/skills/embed-ai-tool in your project. Codex loads it when a task matches its description.
Can I use Embed AI Tool in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoKemp223/embed-ai-tool --skill embed-ai-tool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/embed-ai-tool, .gemini/skills/embed-ai-tool, .github/skills/embed-ai-tool and .opencode/skills/embed-ai-tool in your project.
What does Embed AI Tool need to run?
Going by SKILL.md and its folder, Embed AI Tool needs Python for the scripts in its folder and the command-line tools its instructions call (npx and python3). Our summary lists: Python 3; Node.js.
Does Embed AI Tool access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Embed AI Tool safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Embed AI Tool use?
No licence was found for Embed AI Tool or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Embed AI Tool use?
About 2.4k tokens (SKILL.md is roughly 9.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Embed AI Tool?
Skills that share tags, products or a category with Embed AI Tool: Esp32 Firmware Engineer (alxv2016/folloup-sticky, 117 stars), Auto Embedded (DunCanYounG-1/MICU-auto-embedded, 253 stars), Embedded Cpp14 Misra (BlueAndi/Pixelix, 443 stars) and Embedded Cpp14 Misra (BlueAndi/Pixelix, 443 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Embed AI Tool?
LeoKemp223 (a GitHub user) maintains it in LeoKemp223/embed-ai-tool, which has 991 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on August 20, 2026.
Source: LeoKemp223/embed-ai-tool on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.