MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看. An agent skill from zhinkgit/embeddedskills.
$ npx skills add zhinkgit/embeddedskills --skill serial -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhinkgit/embeddedskills serial --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/zhinkgit/embeddedskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/serial .claude/skills/serial && 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 "serial" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/serial into .claude/skills/serial/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial", 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/zhinkgit/embeddedskills/tree/main/serialType 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 zhinkgit/embeddedskills --skill serial -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhinkgit/embeddedskills serial --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhinkgit/embeddedskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/serial .agents/skills/serial && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "serial" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/serial into .agents/skills/serial/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial", 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 zhinkgit/embeddedskills --skill serial -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhinkgit/embeddedskills serial --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhinkgit/embeddedskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/serial .cursor/skills/serial && 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 "serial" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/serial into .cursor/skills/serial/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial", 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/zhinkgit/embeddedskills.git --path serial--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 zhinkgit/embeddedskills --skill serial -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhinkgit/embeddedskills serial --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhinkgit/embeddedskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/serial .gemini/skills/serial && 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 "serial" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/serial into .gemini/skills/serial/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial", 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 zhinkgit/embeddedskills serialInstalls 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 zhinkgit/embeddedskills --skill serial -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zhinkgit/embeddedskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/serial .github/skills/serial && 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 "serial" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/serial into .github/skills/serial/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial", 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 zhinkgit/embeddedskills --skill serial -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zhinkgit/embeddedskills serial --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhinkgit/embeddedskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/serial .opencode/skills/serial && 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 "serial" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/serial into .opencode/skills/serial/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial", 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.
serial嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看. An agent skill from zhinkgit/embeddedskills.
Serial is an agent skill from zhinkgit/embeddedskills. 嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看。 当用户提到串口、COM 口、UART、AT 命令调试、波特率、Hex 串流、串口抓日志、 串口监控、查看 MCU 输出、二进制协议联调时自动触发,也兼容 /serial 显式调用。 即使用户只是说"看看串口输出"、"发个 AT 命令"或"抓一下日志",只要上下文涉及 串口通信就应触发此 skill。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts and reference files (for example `README.md`, `config.example.json` and `references/common_devices.json`).
It works with Python. The repository describes itself as: An open-source collection of embedded development and debugging skills for Claude Code, Copilot, TRAE, and other AI coding assistants that support the Skill protocol. Once… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 536c1f9. 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 7 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipaptFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
Serial loads about 1.4k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 298 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.
The full file from zhinkgit/embeddedskills at commit 536c1f9, republished under its MIT licence (© zhinkgit). 298 words, ~1,374 tokens.
.claude/skills/serial/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.统一封装端口发现、实时监控、数据发送、日志记录和 Hex 查看能力。
skill/config.json)serial skill 的环境级配置目前为空对象 {},因为串口参数属于工程级配置,统一在工作区的 .embeddedskills/config.json 中管理。
.embeddedskills/config.json)工作区下的 .embeddedskills/config.json 存放工程级串口配置:
{
"serial": {
"port": "",
"baudrate": 115200,
"bytesize": 8,
"parity": "none",
"stopbits": 1,
"encoding": "utf-8",
"timeout_sec": 1.0,
"log_dir": ".embeddedskills/logs/serial"
}
}| 字段 | 说明 | 默认值 |
|---|---|---|
port | 串口号,如 COM3 | "" |
baudrate | 波特率 | 115200 |
bytesize | 数据位 | 8 |
parity | 校验位:none/even/odd/mark/space | none |
stopbits | 停止位:1/1.5/2 | 1 |
encoding | 文本编码 | utf-8 |
timeout_sec | 读写超时(秒) | 1.0 |
log_dir | 日志输出目录 | .embeddedskills/logs/serial |
--port, --baudrate 等) - 最高优先级.embeddedskills/config.json 中的 serial 部分).embeddedskills/state.json 中的历史记录)当未指定 port 时,脚本会自动扫描系统串口:
--port 指定)| 子命令 | 用途 | 风险 |
|---|---|---|
scan | 扫描可用串口 | 低 |
monitor | 实时查看文本输出 | 低 |
send | 发送文本或 Hex 数据 | 中 |
hex | 实时查看二进制流 | 低 |
log | 保存串口日志到文件 | 低 |
pyserial 是否可用,未安装时提示 pip install pyserialscanmonitor / send / hex / log 使用解析后的连接参数port,自动扫描系统串口:所有脚本位于 skill 目录的 scripts/ 下,通过 python 直接调用。
脚本会按优先级从 CLI 参数、工程级配置、状态文件中读取参数。
# 扫描串口
python scripts/serial_scan.py [--filter <关键词>] [--json]
# 实时监控
python scripts/serial_monitor.py [--port <串口>] [--baudrate <波特率>] [--timestamp] [--filter <regex>] [--timeout <秒>] [--json]
# 发送数据
python scripts/serial_send.py [--port <串口>] [--baudrate <波特率>] <data> [--hex] [--crlf] [--repeat <次>] [--wait-response] [--json]
# Hex 查看
python scripts/serial_hex.py [--port <串口>] [--baudrate <波特率>] [--width <列>] [--timeout <秒>] [--json]
# 日志记录
python scripts/serial_log.py [--port <串口>] [--baudrate <波特率>] [--output <文件>] [--duration <秒>] [--format text|csv|json] [--json]单次命令返回标准 JSON:
{
"status": "ok",
"action": "scan",
"summary": "发现 2 个串口",
"details": { ... }
}持续命令(monitor --json、hex --json)输出 JSON Lines,结束摘要写入 stderr。
错误输出:
{
"status": "error",
"action": "monitor",
"error": { "code": "port_busy", "message": "串口被其他程序占用" }
}当需要同时使用 minicom(或其他串口工具)和 skill 脚本访问同一个串口设备时,可以通过 mux 后台服务实现多路复用。
apt install socat / pacman -S socat ┌──────────────────┐
│ Real Hardware │
│ /dev/ttyUSB0 │
└────────┬─────────┘
│
┌────────▼─────────┐
│ Python mux server │
│ TCP-LISTEN:20001 │ 单串口读者 + 广播
└────────┬─────────┘
│
┌───────────────┼───────────────┐
│ │ │
┌────────▼──────┐ ┌─────▼──────┐ ┌──────▼────────┐
│ socat PTY │ │ skill │ │ skill │
│ /tmp/serial_ │ │ monitor │ │ send/log/hex │
│ mux_vserial │ │ socket:// │ │ socket:// │
└───────┬───────┘ └────────────┘ └───────────────┘
│
┌───────▼───────┐
│ minicom │
│ (用户侧) │
└───────────────┘/tmp/serial_mux_vserial,供 minicom 使用socket:// 连接 TCP 端口# 启动多路复用
python scripts/serial_mux.py start --port /dev/ttyUSB0 [--baudrate 115200]
# 查询状态
python scripts/serial_mux.py status
# 停止多路复用
python scripts/serial_mux.py stop启动后,skill 脚本(monitor/hex/log/send)自动通过多路复用连接,无需额外参数。若命令显式指定了不同串口或串口参数,则不会复用当前 mux。
python scripts/serial_mux.py start --port /dev/ttyUSB0minicom -D /tmp/serial_mux_vserial(用户侧交互)python scripts/serial_monitor.py(模型侧监控,自动走 mux)python scripts/serial_mux.py stop 停止复用(终止 socat 进程并清理 /tmp/serial_mux_vserial 符号链接)多客户端同时写入会导致串口数据错乱。 监控/hex/log 脚本在通过 mux 连接时输出警告到 stderr。send 脚本输出更强的冲突警告。如需直连真实串口(跳过 mux),使用 --direct 参数。
mux 进程 PID 保存到 .embeddedskills/state.json 的 serial_mux 段。脚本退出后下次调用 status 会检测进程是否仍存活,自动清理僵尸 PID。start 成功后会把已确认的串口配置写回 .embeddedskills/config.json,方便后续无参命令复用。stop 命令会终止 mux 与 socat PTY 进程,并删除残留的 /tmp/serial_mux_vserial 符号链接。
port 时自动扫描,唯一候选自动写入配置,多候选需用户选择.embeddedskills/config.json--json 输出的持续流使用 JSON Lines,摘要写 stderr 不污染数据流references/common_devices.json:常见 USB 转串口芯片 VID/PID 映射© zhinkgit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 10 other files (scripts, references) in serial of zhinkgit/embeddedskills.
Open the folder on GitHubat commit 536c1f9
Serial 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 |
|---|---|---|---|---|---|---|
| Serial this skillzhinkgit/embeddedskills | 731 | — | ~1.4k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 62 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| PDF Processinganthropics/skills | 180k | 48 repos | ~2k | Automated safety check: Pass | Proprietary | |
| NotebookLM Research AssistantPleasePrompto/notebooklm-skill | 7.8k | 13 repos | ~2.4k | Automated safety check: Notes | MIT | |
| Manim Video Productionbrowser-use/video-use | 28k | 6 repos | ~3k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/skills
Handles everyday PDF jobs in Python and on the command line: extract text and tables, merge, split, rotate, watermark, fill forms, encrypt and OCR.
PleasePrompto/notebooklm-skill
Lets Claude Code ask questions of your Google NotebookLM notebooks through browser automation and return answers grounded in your uploaded sources.
browser-use/video-use
Produces math and technical explainer videos with Manim Community Edition: concept animations, equation derivations, algorithm walkthroughs and data stories.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
hugohe3/ppt-master
Generates editable PowerPoint decks, rebuilds slides from images, fills .pptx templates and polishes existing presentations through routed workflows.
zhinkgit/embeddedskills
嵌入式 CAN / CAN-FD 调试工具,用于扫描接口、监控报文、发送测试帧、记录日志、数据库文件解码和总线统计. An agent skill from zhinkgit/embeddedskills.
zhinkgit/embeddedskills
EIDE (Embedded IDE) 工程构建工具,用于扫描 .eide/eide.yml 工程、枚举构建 配置 (ConfigName)、执行 build/rebuild/clean 并解析构建日志,返回可供 jlink/openocd 复用的产物路径。当用户提到 EIDE、Embedded IDE、eide.yml、 unifybuilder、VS Code EIDE…
zhinkgit/embeddedskills
J-Link 下载与在线调试工具,用于探测设备、烧录固件、读写内存、查看寄存器、复位目标、读取 RTT/SWO 日志, 以及在线调试(暂停/恢复/单步/断点运行/调用栈/变量查看)。
zhinkgit/embeddedskills
Keil MDK 工程构建工具,用于扫描 .uvprojx/.uvproj/.uvmpw 工程、枚举 Target、执行 build/rebuild/clean 并解析构建日志,返回可供 jlink/openocd 复用的产物路径。
zhinkgit/embeddedskills
嵌入式网络调试工具,用于发现接口、抓包、分析 pcap/pcapng、做连通性测试、端口扫描和流量统计. An agent skill from zhinkgit/embeddedskills.
zhinkgit/embeddedskills
OpenOCD 下载与调试工具,用于探针探测、固件烧录、Flash 擦除、GDB Server 启动、目标复位控制、 Telnet 在线调试(halt/resume/step/寄存器/内存/断点)、GDB 源码级调试,以及 Semihosting/ITM 输出捕获和底层查询。
Works with
嵌入式串口调试工具,用于扫描串口、实时监控、发送数据、记录日志和 Hex 查看. An agent skill from zhinkgit/embeddedskills. Serial is an agent skill from zhinkgit/embeddedskills.
Run `npx skills add zhinkgit/embeddedskills --skill serial -a claude-code`. Or copy the skill folder (serial in zhinkgit/embeddedskills) into .claude/skills/serial in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zhinkgit/embeddedskills --skill serial -a codex`. Or copy the skill folder (serial in zhinkgit/embeddedskills) into .agents/skills/serial 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 zhinkgit/embeddedskills --skill serial -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/serial, .gemini/skills/serial, .github/skills/serial and .opencode/skills/serial in your project.
Going by SKILL.md and its folder, Serial needs Python for the scripts in its folder and the command-line tools its instructions call (python, pip and apt). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. 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.
Serial is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k 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 223 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Serial: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zhinkgit (a GitHub user) maintains it in zhinkgit/embeddedskills, which has 731 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 3, 2026.
Source: zhinkgit/embeddedskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.