RuView Hardware Setup
ruvnet/RuView
Brings a RuView CSI sensing node online by building ESP32-S3 or ESP32-C6 firmware, flashing the board, provisioning WiFi and checking the serial output.
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.
$ npx skills add LeoKemp223/embed-ai-tool --skill debug-platformio -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoKemp223/embed-ai-tool debug-platformio --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoKemp223/embed-ai-tool.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/debug-platformio .claude/skills/debug-platformio && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "debug-platformio" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/debug-platformio into .claude/skills/debug-platformio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-platformio", 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.
$skill-installer install https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/debug-platformioType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoKemp223/embed-ai-tool --skill debug-platformio -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoKemp223/embed-ai-tool debug-platformio --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoKemp223/embed-ai-tool.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/debug-platformio .agents/skills/debug-platformio && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "debug-platformio" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/debug-platformio into .agents/skills/debug-platformio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-platformio", 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 debug-platformio -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoKemp223/embed-ai-tool debug-platformio --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoKemp223/embed-ai-tool.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/debug-platformio .cursor/skills/debug-platformio && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "debug-platformio" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/debug-platformio into .cursor/skills/debug-platformio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-platformio", 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.
$ gemini skills install https://github.com/LeoKemp223/embed-ai-tool.git --path skills/debug-platformio--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoKemp223/embed-ai-tool --skill debug-platformio -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoKemp223/embed-ai-tool debug-platformio --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoKemp223/embed-ai-tool.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/debug-platformio .gemini/skills/debug-platformio && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "debug-platformio" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/debug-platformio into .gemini/skills/debug-platformio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-platformio", 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 debug-platformioInstalls 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 debug-platformio -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoKemp223/embed-ai-tool.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/debug-platformio .github/skills/debug-platformio && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "debug-platformio" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/debug-platformio into .github/skills/debug-platformio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-platformio", 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 debug-platformio -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 debug-platformio --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoKemp223/embed-ai-tool.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/debug-platformio .opencode/skills/debug-platformio && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "debug-platformio" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/debug-platformio into .opencode/skills/debug-platformio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-platformio", 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.
debug-platformio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.
Debug Platformio is an agent skill from 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。
Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/usage.md` and `scripts/pio_debugger.py`).
It sits in Development. It works with ESP32. 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。
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9218f23. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Debug Platformio loads about 324 tokens when it runs, and up to ~714 if it reads all its reference files. Until then it costs about 19 tokens; SKILL.md has 60 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 60 words (~324 tokens).
SKILL.md and 3 other files (scripts, references) in skills/debug-platformio of LeoKemp223/embed-ai-tool.
Open the folder on GitHubat commit 9218f23
Debug Platformio 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 |
|---|---|---|---|---|---|---|
| Debug Platformio this skillLeoKemp223/embed-ai-tool | 983 | — | ~324 | Automated safety check: Pass | None | |
| RuView Hardware Setupruvnet/RuView | 97k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Esp32 Firmware Engineeralxv2016/folloup-sticky | 115 | 1 repos | ~3.8k | Automated safety check: Pass | GPL-3.0 | |
| RuView mmWave Radar Setupruvnet/RuView | 97k | — | ~907 | Automated safety check: Notes | MIT | |
| Embedded DebugFastLED/FastLED | 7.5k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Openscad MechanicalBlueAndi/Pixelix | 443 | — | ~1.8k | Automated safety check: Pass | MIT |
ruvnet/RuView
Brings a RuView CSI sensing node online by building ESP32-S3 or ESP32-C6 firmware, flashing the board, provisioning WiFi and checking the serial output.
alxv2016/folloup-sticky
ESP32 firmware engineering for ESP-IDF projects. An agent skill from alxv2016/folloup-sticky.
ruvnet/RuView
Sets up and runs 60 GHz and 24 GHz mmWave radar sensing on ESP32 boards in RuView, alone or fused with WiFi CSI.
FastLED/FastLED
Firmware crash analysis, stack trace decoder, and register dump interpreter for ESP32/ARM/AVR platforms.
BlueAndi/Pixelix
Create and edit OpenSCAD (.scad) files for 3D-printable mechanical parts and housings.
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…
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.
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.
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。
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.
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.
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。
Works with
Categories
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. Debug Platformio is an agent skill from LeoKemp223/embed-ai-tool.
Debug Platformio fits situations like: development work in your project.
Run `npx skills add LeoKemp223/embed-ai-tool --skill debug-platformio -a claude-code`. Or copy the skill folder (skills/debug-platformio in LeoKemp223/embed-ai-tool) into .claude/skills/debug-platformio in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoKemp223/embed-ai-tool --skill debug-platformio -a codex`. Or copy the skill folder (skills/debug-platformio in LeoKemp223/embed-ai-tool) into .agents/skills/debug-platformio in your project. Codex loads it when a task matches its description.
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 debug-platformio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/debug-platformio, .gemini/skills/debug-platformio, .github/skills/debug-platformio and .opencode/skills/debug-platformio in your project.
Going by SKILL.md and its folder, Debug Platformio needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
No licence was found for Debug Platformio or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 324 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 390 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Debug Platformio: RuView Hardware Setup (ruvnet/RuView, 97k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 115 stars), RuView mmWave Radar Setup (ruvnet/RuView, 97k stars) and Embedded Debug (FastLED/FastLED, 7.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoKemp223 (a GitHub user) maintains it in LeoKemp223/embed-ai-tool, which has 983 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.