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 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.
MITAuto-check passed
Install Can
$ npx skills add zhinkgit/embeddedskills --skill can -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhinkgit/embeddedskills can --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/can .claude/skills/can && 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 "can" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/can into .claude/skills/can/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "can", 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/canType 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 can -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhinkgit/embeddedskills can --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/can .agents/skills/can && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "can" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/can into .agents/skills/can/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "can", 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 can -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhinkgit/embeddedskills can --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/can .cursor/skills/can && 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 "can" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/can into .cursor/skills/can/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "can", 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 can--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 can -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhinkgit/embeddedskills can --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/can .gemini/skills/can && 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 "can" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/can into .gemini/skills/can/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "can", 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 canInstalls 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 can -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/can .github/skills/can && 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 "can" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/can into .github/skills/can/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "can", 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 can -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 can --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/can .opencode/skills/can && 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 "can" agent skill from https://github.com/zhinkgit/embeddedskills/tree/main/can into .opencode/skills/can/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "can", 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
can- GitHub stars
- 733
- Token cost
- ~1k tokens
- SKILL.md length
- 222 words
- Files
- 11 (incl. scripts, references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
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.
- Works in 4 steps: CLI 参数 (--interface, --channel,… → 工程级配置 (.embeddedskills/config.json 中的… → 状态文件 (.embeddedskills/state.json 中的历史记录) → …
- SKILL.md covers 配置, 子命令, 执行流程 and 脚本调用, plus 3 more sections
- Runs Python scripts from its folder; calls python and pip
What it does
Can is an agent skill from 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。 当用户提到 CAN、CAN-FD、DBC 解码、总线抓包、USB-CAN 联调、报文发送、总线统计、 PCAN、Vector、slcan、CAN 接口扫描、CAN ID 过滤、ASC 日志、BLF 文件时自动触发， 也兼容 /can 显式调用。即使用户只是说"看看 CAN 报文"、"发一帧试试"或"解码一下 DBC"， 只要上下文明确提到 CAN 总线通信的操作或问题就应触发此 skill。
Its SKILL.md is about 1k 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_interfaces.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.
Example prompts
- “看看 CAN 报文”
- “解码一下 DBC”
- “/can”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- CLI 参数 (--interface, --channel, --bitrate 等) - 最高优先级
- 工程级配置 (.embeddedskills/config.json 中的 can 部分)
- 状态文件 (.embeddedskills/state.json 中的历史记录)
- 默认值 - 最低优先级
What it can do on your machine
Read from SKILL.md and the folder at commit 536c1f9. 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 7 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpip
From the folder's file list and the shell code blocks in SKILL.md.
Network
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.
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
Can loads about 1k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 222 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
The full file from zhinkgit/embeddedskills at commit 536c1f9, republished under its MIT licence (© zhinkgit). 222 words, ~1,012 tokens.
Download SKILL.mdSave it as
.claude/skills/can/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- can
- description
- 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。 当用户提到 CAN、CAN-FD、DBC 解码、总线抓包、USB-CAN 联调、报文发送、总线统计、 PCAN、Vector、slcan、CAN 接口扫描、CAN ID 过滤、ASC 日志、BLF 文件时自动触发， 也兼容 /can 显式调用。即使用户只是说"看看 CAN 报文"、"发一帧试试"或"解码一下 DBC"， 只要上下文明确提到 CAN 总线通信的操作或问题就应触发此 skill。
- argument-hint
- [scan|monitor|send|log|decode|stats] ...
CAN — 嵌入式 CAN / CAN-FD 调试工具
统一封装接口发现、实时监控、报文发送、日志记录、数据库文件解码和统计分析能力。
配置
环境级配置 (skill/config.json)
仅保留 slcan 相关的环境级配置：
{
"slcan_serial_port": "",
"slcan_serial_baudrate": 115200
}| 字段 | 说明 | 默认值 |
|---|---|---|
slcan_serial_port | slcan 场景的串口 | "" |
slcan_serial_baudrate | slcan 场景的串口速率 | 115200 |
工程级配置 (.embeddedskills/config.json)
工作区下的 .embeddedskills/config.json 存放工程级 CAN 配置：
{
"can": {
"interface": "",
"channel": "",
"bitrate": 500000,
"data_bitrate": 2000000,
"log_dir": ".embeddedskills/logs/can"
}
}| 字段 | 说明 | 默认值 |
|---|---|---|
interface | CAN 后端，如 pcan / vector / slcan | "" |
channel | 通道名，如 PCAN_USBBUS1 | "" |
bitrate | 仲裁域比特率 | 500000 |
data_bitrate | CAN-FD 数据域比特率 | 2000000 |
log_dir | 日志输出目录 | .embeddedskills/logs/can |
参数解析优先级
- CLI 参数 (
--interface,--channel,--bitrate等) - 最高优先级 - 工程级配置 (
.embeddedskills/config.json中的can部分) - 状态文件 (
.embeddedskills/state.json中的历史记录) - 默认值 - 最低优先级
自动扫描行为
当未指定 interface 和 channel 时，脚本会自动扫描系统 CAN 接口，按以下步骤处理：
- 扫描系统中所有可用 CAN 接口
- 若只找到一个接口 → 自动使用并写入工程配置
- 若找到多个接口 → 返回候选列表，等待用户选择
- 若未找到接口 → 提示错误，停止执行
子命令
| 子命令 | 用途 | 风险 |
|---|---|---|
scan | 扫描可用 CAN 接口与 USB-CAN 设备 | 低 |
monitor | 实时监控总线报文 | 低 |
send | 发送标准帧 / 扩展帧 / 远程帧 / CAN-FD 帧 | 高 |
log | 记录总线报文到 ASC / BLF / CSV 文件 | 低 |
decode | 用 DBC 等数据库文件解码报文或日志 | 低 |
stats | 统计总线负载、ID 分布和帧率 | 低 |
执行流程
- 检查
python-can是否可用，未安装时提示pip install python-can - 按优先级解析参数：CLI > 工程级配置 > 状态文件 > 默认值
- 无子命令时默认执行
scan monitor / send / log / stats使用解析后的连接参数decode先确认数据库文件和输入源存在- 若未指定
interface/channel，自动扫描系统 CAN 接口：- 唯一候选：自动使用并写入工程配置
- 多候选：返回列表让用户选择
- 成功执行后，将确认的参数写回工程配置
send只要配置可连接就直接执行，不二次确认- 运行对应脚本并输出结构化结果
- 失败时优先反馈接口、驱动、比特率和过滤条件问题
脚本调用
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。
# 扫描接口
python scripts/can_scan.py [--json]
# 实时监控
python scripts/can_monitor.py [--interface <接口>] [--channel <通道>] [--bitrate <速率>] [--fd] [--filter-id <ID列表>] [--exclude-id <ID列表>] [--dbc <DBC文件>] [--timeout <秒>] [--json]
# 发送报文
python scripts/can_send.py [--interface <接口>] [--channel <通道>] [--bitrate <速率>] <id> <data> [--extended] [--remote] [--fd] [--repeat <次>] [--interval <秒>] [--periodic <毫秒>] [--listen] [--json]
# 日志记录
python scripts/can_log.py [--interface <接口>] [--channel <通道>] [--bitrate <速率>] [--output <文件>] [--duration <秒>] [--max-count <数量>] [--filter-id <ID列表>] [--console] [--json]
# 数据库解码
python scripts/can_decode.py <db_file> [--db-format <auto|dbc|arxml|kcd|sym|cdd>] [--id <CAN_ID>] [--data <HEX数据>] [--log <日志文件>] [--signal <信号名>] [--list] [--json]
# 总线统计
python scripts/can_stats.py [--interface <接口>] [--channel <通道>] [--bitrate <速率>] [--duration <秒>] [--top <数量>] [--watch <ID列表>] [--json]输出格式
单次命令返回标准 JSON：
{
"status": "ok",
"action": "scan",
"summary": "发现 2 个 CAN 接口",
"details": { ... }
}持续命令（monitor --json、send --listen --json）输出 JSON Lines，结束摘要写入 stderr。
错误输出：
{
"status": "error",
"action": "send",
"error": { "code": "interface_open_failed", "message": "无法打开指定 CAN 接口" }
}核心规则
- 不自动猜测 interface、channel、bitrate，多接口时不自动选择
- 参数解析优先级：CLI > 工程级配置 > 状态文件 > 默认值；自动扫描结果仅在未提供 CLI 参数时生效
- 未指定
interface/channel时自动扫描，唯一候选自动写入配置，多候选需用户选择 - 成功执行后，确认的参数自动写回
.embeddedskills/config.json - 未明确说明用途时不主动发送任何报文
--json输出的持续流使用 JSON Lines，摘要写 stderr 不污染数据流- DBC 解码失败不应导致监控中断
- 找不到帧定义时返回明确错误，不静默吞掉
参考
references/common_interfaces.json：常见 USB-CAN 设备信息
© zhinkgit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 10 other files (scripts, references) in can of zhinkgit/embeddedskills.
- SKILL.md
- README.md
- config.example.json
- references/common_interfaces.json
- scripts/can_decode.py
- scripts/can_log.py
- scripts/can_monitor.py
- scripts/can_runtime.py
- scripts/can_scan.py
- scripts/can_send.py
- scripts/can_stats.py
Open the folder on GitHubat commit 536c1f9
Compare with similar skills
Can 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 |
|---|---|---|---|---|---|---|
| Can this skillzhinkgit/embeddedskills | 733 | — | ~1k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 64 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 | 14 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 |
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Related
Works with
Questions about Can
What does Can do?
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. Can is an agent skill from zhinkgit/embeddedskills.
How do I install Can in Claude Code?
Run `npx skills add zhinkgit/embeddedskills --skill can -a claude-code`. Or copy the skill folder (can in zhinkgit/embeddedskills) into .claude/skills/can in your project. Claude Code loads it when a task matches its description.
How do I install Can in Codex?
Run `npx skills add zhinkgit/embeddedskills --skill can -a codex`. Or copy the skill folder (can in zhinkgit/embeddedskills) into .agents/skills/can in your project. Codex loads it when a task matches its description.
Can I use Can 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 zhinkgit/embeddedskills --skill can -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/can, .gemini/skills/can, .github/skills/can and .opencode/skills/can in your project.
What does Can need to run?
Going by SKILL.md and its folder, Can needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
Does Can access the network?
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.
Is Can 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 Can use?
Can is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Can use?
About 1k tokens (SKILL.md is roughly 4k 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 418 tokens, read only when the agent opens those files.
What are the alternatives to Can?
Skills that share tags, products or a category with Can: 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.
Who maintains Can?
zhinkgit (a GitHub user) maintains it in zhinkgit/embeddedskills, which has 733 GitHub stars. The repository holds 11 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.