Re Riscv
dslsdzc/rev-skills
RISC-V 架构逆向:RV32/RV64、压缩指令(RVC)、gp 相对寻址、ABI 与 ecall 系统调用约定、工具链指纹。
当需要通过 ESP-IDF 工具链烧录固件到 ESP32 系列芯片,或启动调试会话时使用. An agent skill from LeoKemp223/embed-ai-tool.
$ npx skills add LeoKemp223/embed-ai-tool --skill flash-idf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoKemp223/embed-ai-tool flash-idf --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/flash-idf .claude/skills/flash-idf && 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 "flash-idf" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-idf into .claude/skills/flash-idf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flash-idf", 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/flash-idfType 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 flash-idf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoKemp223/embed-ai-tool flash-idf --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/flash-idf .agents/skills/flash-idf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "flash-idf" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-idf into .agents/skills/flash-idf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flash-idf", 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 flash-idf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoKemp223/embed-ai-tool flash-idf --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/flash-idf .cursor/skills/flash-idf && 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 "flash-idf" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-idf into .cursor/skills/flash-idf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flash-idf", 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/flash-idf--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 flash-idf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoKemp223/embed-ai-tool flash-idf --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/flash-idf .gemini/skills/flash-idf && 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 "flash-idf" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-idf into .gemini/skills/flash-idf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flash-idf", 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 flash-idfInstalls 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 flash-idf -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/flash-idf .github/skills/flash-idf && 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 "flash-idf" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-idf into .github/skills/flash-idf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flash-idf", 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 flash-idf -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 flash-idf --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/flash-idf .opencode/skills/flash-idf && 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 "flash-idf" agent skill from https://github.com/LeoKemp223/embed-ai-tool/tree/master/skills/flash-idf into .opencode/skills/flash-idf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "flash-idf", 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.
flash-idf当需要通过 ESP-IDF 工具链烧录固件到 ESP32 系列芯片,或启动调试会话时使用. An agent skill from LeoKemp223/embed-ai-tool.
Flash Idf is an agent skill from LeoKemp223/embed-ai-tool. 当需要通过 ESP-IDF 工具链烧录固件到 ESP32 系列芯片,或启动调试会话时使用。
Its SKILL.md is about 580 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/idf_flasher.py`).
It sits in Development, covering Embedded systems. It works with ESP32 and Linux. 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。
8 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.
Flash Idf loads about 581 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 14 tokens; SKILL.md has 173 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 noted patterns worth knowing about, such as sudo or a known installer.
- Linux 用户可能需要将自己添加到 `dialout` 组:`sudo usermod -aG dialout $USER`。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 173 words (~581 tokens).
SKILL.md and 3 other files (scripts, references) in skills/flash-idf of LeoKemp223/embed-ai-tool.
Open the folder on GitHubat commit 9218f23
Flash Idf 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 |
|---|---|---|---|---|---|---|
| Flash Idf this skillLeoKemp223/embed-ai-tool | 987 | — | ~581 | Automated safety check: Notes | None | |
| Re Riscvdslsdzc/rev-skills | 130 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| RuView Hardware Setupruvnet/RuView | 97k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Esp32 Firmware Engineeralxv2016/folloup-sticky | 116 | 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 |
dslsdzc/rev-skills
RISC-V 架构逆向:RV32/RV64、压缩指令(RVC)、gp 相对寻址、ABI 与 ecall 系统调用约定、工具链指纹。
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.
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
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
当需要通过 ESP-IDF 工具链烧录固件到 ESP32 系列芯片,或启动调试会话时使用. An agent skill from LeoKemp223/embed-ai-tool. Flash Idf is an agent skill from LeoKemp223/embed-ai-tool.
Flash Idf fits situations like: tasks that involve Embedded systems.
Run `npx skills add LeoKemp223/embed-ai-tool --skill flash-idf -a claude-code`. Or copy the skill folder (skills/flash-idf in LeoKemp223/embed-ai-tool) into .claude/skills/flash-idf in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoKemp223/embed-ai-tool --skill flash-idf -a codex`. Or copy the skill folder (skills/flash-idf in LeoKemp223/embed-ai-tool) into .agents/skills/flash-idf 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 flash-idf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/flash-idf, .gemini/skills/flash-idf, .github/skills/flash-idf and .opencode/skills/flash-idf in your project.
Going by SKILL.md and its folder, Flash Idf needs Python for the scripts in its folder. 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 notes only (runs commands with sudo), nothing it rates as a warning. 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 Flash Idf or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 581 tokens (SKILL.md is roughly 2.3k 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 1.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Flash Idf: Re Riscv (dslsdzc/rev-skills, 130 stars), RuView Hardware Setup (ruvnet/RuView, 97k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 116 stars) and RuView mmWave Radar Setup (ruvnet/RuView, 97k 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 987 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.