Esp32 Firmware Engineer
alxv2016/folloup-sticky
ESP32 firmware engineering for ESP-IDF projects. An agent skill from alxv2016/folloup-sticky.
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…
Install Auto Embedded
$ npx skills add DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DunCanYounG-1/MICU-auto-embedded auto-embedded --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 "auto-embedded" agent skill from https://github.com/DunCanYounG-1/MICU-auto-embedded/tree/main into .claude/skills/auto-embedded/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-embedded", 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 DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DunCanYounG-1/MICU-auto-embedded auto-embedded --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-embedded" agent skill from https://github.com/DunCanYounG-1/MICU-auto-embedded/tree/main into .agents/skills/auto-embedded/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-embedded", 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 DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DunCanYounG-1/MICU-auto-embedded auto-embedded --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 "auto-embedded" agent skill from https://github.com/DunCanYounG-1/MICU-auto-embedded/tree/main into .cursor/skills/auto-embedded/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-embedded", 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 DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DunCanYounG-1/MICU-auto-embedded auto-embedded --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 "auto-embedded" agent skill from https://github.com/DunCanYounG-1/MICU-auto-embedded/tree/main into .gemini/skills/auto-embedded/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-embedded", 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 DunCanYounG-1/MICU-auto-embedded auto-embeddedInstalls 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 DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -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 "auto-embedded" agent skill from https://github.com/DunCanYounG-1/MICU-auto-embedded/tree/main into .github/skills/auto-embedded/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-embedded", 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 DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DunCanYounG-1/MICU-auto-embedded auto-embedded --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 "auto-embedded" agent skill from https://github.com/DunCanYounG-1/MICU-auto-embedded/tree/main into .opencode/skills/auto-embedded/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-embedded", 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
auto-embedded- GitHub stars
- 253
- Token cost
- ~1.6k tokens
- SKILL.md length
- 347 words
- Files
- 458 (incl. scripts, assets)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- CC-BY-NC-4.0
At a glance
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…
- Tasks that involve Embedded systems
- SKILL.md covers 它是什么（与 embedded-dev 的区别）, 支持平台, 第一步：判断工程是否已安装 and 命令速查, plus 6 more sections
- Calls python, bash and node
What it does
Auto Embedded is an agent skill from 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 必然运行、按角色自动注入相关 spec、REVIEW 学习回流』的闭环，并一次写、全平台交付（Claude/Cursor/Codex/OpenCode/Copilot/Gemini/Windsurf）。用 aemb init 在固件工程里安装运行时与各平台注入接线。当用户要为 STM32/ESP32/GD32/MSPM0/RISC-V/国产 MCU 工程搭建可复用开发规范基座、让约定自动注入、跨会话可恢复、编译/烧录/调试一体化，或问到 auto-embedded/aemb/spec 注入/项目级 hook/全平台时使用。不适用于纯 Web/移动/桌面软件或与硬件无关的通用 C/C++。
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 461 other files, including scripts and assets (for example `.github/PULL_REQUEST_TEMPLATE.md`, `.github/workflows/link-rot.yml` and `.github/workflows/static-checks.yml`).
It sits in Development, covering Embedded systems. It works with C++ and ESP32. The repository describes itself as: Primary embedded development skills.
When your agent uses it
- Tasks that involve Embedded systems
Example prompts
- “/auto-embedded”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit bfd647b. 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 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
pythonbashnode
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Auto Embedded loads about 1.6k tokens when it runs. Until then it costs about 126 tokens; SKILL.md has 347 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
Its licence (CC-BY-NC-4.0) doesn't allow us to republish the file, so here is its outline and opening line. It has 347 words (~1,573 tokens).
“embedded-dev 是全局单 skill 插件：refs 全局只读、靠模型自觉、frontmatter hook 对 user-skill 不生效、且只在 Claude 可用。 auto-embedded 对标 Trellis，把同一套能力做成装进每个固件工程、跨多个 AI 编码平台的基座：”
- name
- auto-embedded
- keywords
- auto-embedded, aemb, 全平台嵌入式框架, 多平台, spec 注入, 项目级 hook, RIPER-5, 四文件记忆, 分层架构门禁, Scout Builder Verifier, hw-lock, promote 回流, 工具技能, build flash debug, STM32…
Files
SKILL.md and 457 other files (scripts, assets) in the repository root of DunCanYounG-1/MICU-auto-embedded.
- SKILL.md
- .gitattributes
- .github/PULL_REQUEST_TEMPLATE.md
- .github/workflows/link-rot.yml
- .github/workflows/static-checks.yml
- .github/workflows/test.yml
- .gitignore
- CLAUDE.md
- CONTRIBUTING.md
- INSTALL.md
- LICENSE
- README.md
- README_EN.md
- assets/logo-h.svg
- docs/architecture.md
- docs/architecture_CN.md
- docs/concepts.md
- … and 441 more
Open the folder on GitHubat commit bfd647b
Compare with similar skills
Auto Embedded 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 |
|---|---|---|---|---|---|---|
| Auto Embedded this skillDunCanYounG-1/MICU-auto-embedded | 253 | — | ~1.6k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Esp32 Firmware Engineeralxv2016/folloup-sticky | 116 | 1 repos | ~3.8k | Automated safety check: Pass | GPL-3.0 | |
| 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 | |
| Esp32 Developmentmagnus919/agent-skills | 116 | — | ~2.3k | Automated safety check: Pass | MIT |
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Embedded Cpp14 Misra
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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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Related
Categories
Questions about Auto Embedded
What does Auto Embedded do?
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…. Auto Embedded is an agent skill from DunCanYounG-1/MICU-auto-embedded.
When should I use Auto Embedded?
Auto Embedded fits situations like: tasks that involve Embedded systems.
How do I install Auto Embedded in Claude Code?
Run `npx skills add DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a claude-code`. Or copy the skill folder (the DunCanYounG-1/MICU-auto-embedded repository) into .claude/skills/auto-embedded in your project. Claude Code loads it when a task matches its description.
How do I install Auto Embedded in Codex?
Run `npx skills add DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a codex`. Or copy the skill folder (the DunCanYounG-1/MICU-auto-embedded repository) into .agents/skills/auto-embedded in your project. Codex loads it when a task matches its description.
Can I use Auto Embedded 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 DunCanYounG-1/MICU-auto-embedded --skill auto-embedded -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-embedded, .gemini/skills/auto-embedded, .github/skills/auto-embedded and .opencode/skills/auto-embedded in your project.
What does Auto Embedded need to run?
Going by SKILL.md and its folder, Auto Embedded needs the command-line tools its instructions call (python, bash and node). Our summary lists: Python 3.
Does Auto Embedded access the network?
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.
Is Auto Embedded 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 Auto Embedded use?
Auto Embedded is published under the CC-BY-NC-4.0 licence (from the LICENSE file in the skill folder).
How many tokens does Auto Embedded use?
About 1.6k tokens (SKILL.md is roughly 6.3k 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 Auto Embedded?
Skills that share tags, products or a category with Auto Embedded: Esp32 Firmware Engineer (alxv2016/folloup-sticky, 116 stars), Embedded Cpp14 Misra (BlueAndi/Pixelix, 443 stars), Embedded Cpp14 Misra (BlueAndi/Pixelix, 443 stars) and C64 Meatloaf Debug (idolpx/meatloaf, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Auto Embedded?
DunCanYounG-1 (a GitHub user) maintains it in DunCanYounG-1/MICU-auto-embedded, which has 253 GitHub stars. The repository was last updated on October 7, 2026.
Source: DunCanYounG-1/MICU-auto-embedded on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.