Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
“当需要识别正确串口、调用自带脚本抓取日志,并分析嵌入式固件运行状态时使用。”
$ npx skills add LeoKemp223/embed-ai-tool --skill serial-monitor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoKemp223/embed-ai-tool serial-monitor --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/serial-monitor .claude/skills/serial-monitor && 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-monitor" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/serial-monitor into .claude/skills/serial-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial-monitor", 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/serial-monitorType 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 serial-monitor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoKemp223/embed-ai-tool serial-monitor --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/serial-monitor .agents/skills/serial-monitor && 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-monitor" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/serial-monitor into .agents/skills/serial-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial-monitor", 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 serial-monitor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoKemp223/embed-ai-tool serial-monitor --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/serial-monitor .cursor/skills/serial-monitor && 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-monitor" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/serial-monitor into .cursor/skills/serial-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial-monitor", 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/serial-monitor--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 serial-monitor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoKemp223/embed-ai-tool serial-monitor --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/serial-monitor .gemini/skills/serial-monitor && 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-monitor" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/serial-monitor into .gemini/skills/serial-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial-monitor", 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 serial-monitorInstalls 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 serial-monitor -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/serial-monitor .github/skills/serial-monitor && 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-monitor" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/serial-monitor into .github/skills/serial-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial-monitor", 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 serial-monitor -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 serial-monitor --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/serial-monitor .opencode/skills/serial-monitor && 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-monitor" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/serial-monitor into .opencode/skills/serial-monitor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "serial-monitor", 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-monitorSerial Monitor is a skill in LeoKemp223/embed-ai-tool (991 stars). Its SKILL.md is about 447 tokens, with 3 other files in the folder (scripts, references). No licence found.
6 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.
From 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.
Serial Monitor loads about 447 tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 13 tokens; SKILL.md has 105 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 105 words (~447 tokens).
SKILL.md and 3 other files (scripts, references) in skills/serial-monitor of LeoKemp223/embed-ai-tool.
Open the folder on GitHubat commit 9218f23
Serial Monitor 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 Monitor this skillLeoKemp223/embed-ai-tool | 991 | — | ~447 | Automated safety check: Pass | None | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
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.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
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
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.
Categories
Run `npx skills add LeoKemp223/embed-ai-tool --skill serial-monitor -a claude-code`. Or copy the skill folder (skills/serial-monitor in LeoKemp223/embed-ai-tool) into .claude/skills/serial-monitor in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoKemp223/embed-ai-tool --skill serial-monitor -a codex`. Or copy the skill folder (skills/serial-monitor in LeoKemp223/embed-ai-tool) into .agents/skills/serial-monitor 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 serial-monitor -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-monitor, .gemini/skills/serial-monitor, .github/skills/serial-monitor and .opencode/skills/serial-monitor in your project.
Going by SKILL.md and its folder, Serial Monitor needs Python for the scripts in its folder.
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 Serial Monitor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 447 tokens (SKILL.md is roughly 1.8k 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 2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Serial Monitor: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k 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 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.