RuView Hardware Setup
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.
ESP-IDF v5.x RMT5 API expert for LED protocols, encoders, and multi-channel control.
$ npx skills add FastLED/FastLED --skill expert-rmt5 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FastLED/FastLED expert-rmt5 --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/FastLED/FastLED.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/expert-rmt5 .claude/skills/expert-rmt5 && 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 "expert-rmt5" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/expert-rmt5 into .claude/skills/expert-rmt5/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-rmt5", 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/FastLED/FastLED/tree/master/.claude/skills/expert-rmt5Type 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 FastLED/FastLED --skill expert-rmt5 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FastLED/FastLED expert-rmt5 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FastLED/FastLED.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/expert-rmt5 .agents/skills/expert-rmt5 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "expert-rmt5" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/expert-rmt5 into .agents/skills/expert-rmt5/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-rmt5", 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 FastLED/FastLED --skill expert-rmt5 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FastLED/FastLED expert-rmt5 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FastLED/FastLED.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/expert-rmt5 .cursor/skills/expert-rmt5 && 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 "expert-rmt5" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/expert-rmt5 into .cursor/skills/expert-rmt5/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-rmt5", 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/FastLED/FastLED.git --path .claude/skills/expert-rmt5--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 FastLED/FastLED --skill expert-rmt5 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FastLED/FastLED expert-rmt5 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FastLED/FastLED.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/expert-rmt5 .gemini/skills/expert-rmt5 && 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 "expert-rmt5" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/expert-rmt5 into .gemini/skills/expert-rmt5/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-rmt5", 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 FastLED/FastLED expert-rmt5Installs 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 FastLED/FastLED --skill expert-rmt5 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FastLED/FastLED.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/expert-rmt5 .github/skills/expert-rmt5 && 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 "expert-rmt5" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/expert-rmt5 into .github/skills/expert-rmt5/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-rmt5", 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 FastLED/FastLED --skill expert-rmt5 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FastLED/FastLED expert-rmt5 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FastLED/FastLED.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/expert-rmt5 .opencode/skills/expert-rmt5 && 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 "expert-rmt5" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/expert-rmt5 into .opencode/skills/expert-rmt5/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "expert-rmt5", 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.
expert-rmt5ESP-IDF v5.x RMT5 API expert for LED protocols, encoders, and multi-channel control.
Expert Rmt5 is an agent skill from FastLED/FastLED. ESP-IDF v5.x RMT5 API expert for LED protocols, encoders, and multi-channel control. Use when working with RMT peripheral programming, LED strip control, or migrating from RMT4 to RMT5.
Its SKILL.md is about 420 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development. It works with ESP32. The repository describes itself as: The FastLED library for colored LED animation on Arduino. Please direct questions/requests for help to the FastLED Reddit community: http://fastled.io/r We'd like to use github… The licence is MIT.
Read from SKILL.md and the folder at commit c97d721. 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.
No scripts in the folder and no shell commands in SKILL.md.
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.
Expert Rmt5 loads about 419 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 162 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); files beside SKILL.md are not scanned.
The full file from FastLED/FastLED at commit c97d721, republished under its MIT licence (© FastLED). 162 words, ~419 tokens.
.claude/skills/expert-rmt5/SKILL.md (or your agent's skills folder).Get expert guidance on ESP-IDF v5.x RMT (Remote Control Transceiver) peripheral programming.
$ARGUMENTS
© FastLED, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/expert-rmt5 of FastLED/FastLED.
Open the folder on GitHubat commit c97d721
Expert Rmt5 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 |
|---|---|---|---|---|---|---|
| Expert Rmt5 this skillFastLED/FastLED | 7.5k | — | ~419 | Automated safety check: Pass | MIT | |
| 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 | |
| Auto EmbeddedDunCanYounG-1/MICU-auto-embedded | 253 | — | ~1.6k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Embedded Cpp14 MisraBlueAndi/Pixelix | 443 | — | ~2k | Automated safety check: Pass | MIT |
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.
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…
BlueAndi/Pixelix
A skill your agent uses when writing, reviewing, or refactoring C/C++ firmware code in this repository (src/, lib/, test/) — creating or editing .h/.hpp/.cpp files, applying MISRA-oriented and…
RomanLut/hx_espnow_rc
Build, flash, recover, and verify the ESP32-S3 Super Mini MAVLink/ESP-NOW USB receiver in examples/rxesp32s3mavlinkrcusb.
FastLED/FastLED
Scan all CI builds and tests, find failures, fetch error logs, and fix the code.
FastLED/FastLED
Review and implement hardware driver code — DMA safety, interrupt correctness, timing constraints, peripheral register usage, channel drivers, and peripheral mock implementations.
FastLED/FastLED
Firmware crash analysis, stack trace decoder, and register dump interpreter for ESP32/ARM/AVR platforms.
FastLED/FastLED
Parse and classify ESP32 serial log output to identify FastLED-related errors, RMT/I2S/SPI driver faults, timing violations, RTOS issues, and crash signatures.
FastLED/FastLED
Audit embedded code for stack overflow risks, heap fragmentation, static allocation patterns, and memory leaks.
FastLED/FastLED
Guide porting FastLED to new MCU platforms, including int.h types, clockless drivers, SPI implementations, and platform detection.
Works with
Categories
ESP-IDF v5.x RMT5 API expert for LED protocols, encoders, and multi-channel control. Expert Rmt5 is an agent skill from FastLED/FastLED.x RMT5 API expert for LED protocols, encoders, and multi-channel control.
Expert Rmt5 fits situations like: working with RMT peripheral programming; LED strip control; migrating from RMT4 to RMT5.
Run `npx skills add FastLED/FastLED --skill expert-rmt5 -a claude-code`. Or copy the skill folder (.claude/skills/expert-rmt5 in FastLED/FastLED) into .claude/skills/expert-rmt5 in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FastLED/FastLED --skill expert-rmt5 -a codex`. Or copy the skill folder (.claude/skills/expert-rmt5 in FastLED/FastLED) into .agents/skills/expert-rmt5 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 FastLED/FastLED --skill expert-rmt5 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/expert-rmt5, .gemini/skills/expert-rmt5, .github/skills/expert-rmt5 and .opencode/skills/expert-rmt5 in your project.
SKILL.md names no scripts, command-line tools or credentials: Expert Rmt5 is instructions for the agent only.
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. Review the folder before installing.
Expert Rmt5 is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 419 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Expert Rmt5: RuView Hardware Setup (ruvnet/RuView, 97k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 116 stars), RuView mmWave Radar Setup (ruvnet/RuView, 97k stars) and Auto Embedded (DunCanYounG-1/MICU-auto-embedded, 253 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
FastLED (a GitHub organization) maintains it in FastLED/FastLED, which has 7,505 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 9, 2026.
Source: FastLED/FastLED on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.