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.
Review ESP32 FastLED firmware architecture for RTOS safety, DMA correctness, LED driver patterns, memory management, and peripheral safety.
Install Esp32 Arch Review
$ npx skills add FastLED/FastLED --skill esp32-arch-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FastLED/FastLED esp32-arch-review --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/esp32-arch-review .claude/skills/esp32-arch-review && 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 "esp32-arch-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-arch-review into .claude/skills/esp32-arch-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-arch-review", 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/esp32-arch-reviewType 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 esp32-arch-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FastLED/FastLED esp32-arch-review --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/esp32-arch-review .agents/skills/esp32-arch-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "esp32-arch-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-arch-review into .agents/skills/esp32-arch-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-arch-review", 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 esp32-arch-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FastLED/FastLED esp32-arch-review --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/esp32-arch-review .cursor/skills/esp32-arch-review && 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 "esp32-arch-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-arch-review into .cursor/skills/esp32-arch-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-arch-review", 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/esp32-arch-review--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 esp32-arch-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FastLED/FastLED esp32-arch-review --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/esp32-arch-review .gemini/skills/esp32-arch-review && 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 "esp32-arch-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-arch-review into .gemini/skills/esp32-arch-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-arch-review", 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 esp32-arch-reviewInstalls 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 esp32-arch-review -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/esp32-arch-review .github/skills/esp32-arch-review && 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 "esp32-arch-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-arch-review into .github/skills/esp32-arch-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-arch-review", 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 esp32-arch-review -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 esp32-arch-review --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/esp32-arch-review .opencode/skills/esp32-arch-review && 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 "esp32-arch-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-arch-review into .opencode/skills/esp32-arch-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-arch-review", 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
esp32-arch-review- GitHub stars
- 7.5k
- Token cost
- ~1.9k tokens
- SKILL.md length
- 832 words
- Files
- 1
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
Review ESP32 FastLED firmware architecture for RTOS safety, DMA correctness, LED driver patterns, memory management, and peripheral safety.
- Works in 10 steps: FastLED Driver Architecture → DMA Safety → FreeRTOS Safety → …
- Tasks that involve Embedded systems
- SKILL.md covers What This Skill Reviews, Output Format and Common FastLED ESP32…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Esp32 Arch Review is an agent skill from FastLED/FastLED. Review ESP32 FastLED firmware architecture for RTOS safety, DMA correctness, LED driver patterns, memory management, and peripheral safety. Use before merging significant driver changes, new platform ports, or when auditing existing ESP32 FastLED code.
Its SKILL.md is about 1.9k 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, covering Embedded systems. 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.
When your agent uses it
- Tasks that involve Embedded systems
Example prompts
- “/esp32-arch-review”
Workflow steps
10 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 7d26d7f. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Esp32 Arch Review loads about 1.9k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 832 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from FastLED/FastLED at commit 7d26d7f, republished under its MIT licence (© FastLED). 832 words, ~1,895 tokens.
Download SKILL.mdSave it as
.claude/skills/esp32-arch-review/SKILL.md (or your agent's skills folder).- name
- esp32-arch-review
- description
- Review ESP32 FastLED firmware architecture for RTOS safety, DMA correctness, LED driver patterns, memory management, and peripheral safety. Use before merging significant driver changes, new platform ports, or when auditing existing ESP32 FastLED code.
- argument-hint
- <file, directory, or component to review>
- context
- fork
- agent
- esp32-arch-review-agent
Perform a structured architecture review of ESP32 firmware code, with emphasis on FastLED driver patterns, DMA safety, RTOS correctness, and LED-specific constraints.
$ARGUMENTS
What This Skill Reviews
1. FastLED Driver Architecture
Review LED driver implementations under src/platforms/esp/:
- Driver inherits from correct base class (
ClocklessController,ClockedController, or equivalent) -
show()method is interrupt-safe and atomic from the LED strip's perspective - Pixel data encoding is performed before DMA transfer starts (no on-the-fly encoding race)
- Color order (RGB/GRB/BGR) is handled at compile time, not runtime switch
- Gamma correction and color scaling applied before encoding, not after DMA
-
leds_data/CRGBarray not modified during active DMA transfer - FastLED's
show_ordinal()/beginShow()/endShow()lifecycle respected - Brightness scaling via
FastLED.setBrightness()applied before encoding
2. DMA Safety
- DMA buffers allocated with
heap_caps_malloc(size, MALLOC_CAP_INTERNAL | MALLOC_CAP_DMA) - DMA buffers are 4-byte aligned (use
__attribute__((aligned(4)))orheap_caps_aligned_alloc) - DMA buffer lifetime extends beyond transfer completion (no premature free)
- DMA descriptors reside in internal SRAM (not PSRAM/SPIRAM)
- Cache coherence handled:
esp_cache_msync()called or memory marked non-cacheable for DMA regions - Double-buffering used where needed to allow CPU-side encoding to overlap with DMA transmission
- DMA completion callback or semaphore used to signal transfer end (not busy-wait polling)
- Buffer sizes within hardware limits (RMT: 64 items/channel, I2S/SPI: configurable block size)
3. FreeRTOS Safety
- No blocking calls (
vTaskDelay,xSemaphoreTakewith timeout) inside ISRs - ISR functions use
FromISRAPI variants only (xSemaphoreGiveFromISR,xQueueSendFromISR) - ISR handlers marked
IRAM_ATTR(ESP32) or__attribute__((section(".iram1")))(other) - No
malloc,new,fl::vectorallocation inside ISRs - No
printf,FL_DBG,ESP_LOGIor logging inside ISRs - No flash access from ISRs (all ISR code and data must be in IRAM/DRAM)
- Shared state between ISR and task protected with critical section or ISR-safe primitives
- Task stack sizes adequate for FastLED usage (show() + encoding can be stack-heavy)
- No unbounded spin-wait loops without
taskYIELD()(causes watchdog reset) - Watchdog not starved during long
show()calls with high LED counts
4. RMT-Specific Checks (WS2812/SK6812/APA106)
- RMT channel count within hardware limits (ESP32: 8, S2: 4, S3/C3/C6/H2: 4)
- RMT resolution set correctly for target LED protocol (typically 10ns for WS2812)
- RMT item encoding matches LED chipset timing spec (T0H, T0L, T1H, T1L, reset)
- RMT encoder (
rmt_encoder_t) properly initialized and not shared between channels - RMT callback or event queue used for completion, not polling
- RMT loop mode disabled (LED output is one-shot, not continuous)
- RMT end-of-frame reset pulse duration meets minimum spec (≥50µs for WS2812)
5. I2S/SPI-Specific Checks (APA102/SK9822/HD107)
- SPI clock rate set correctly for target LED chipset (APA102 max: 20MHz typical)
- SPI word size matches encoding (32-bit for APA102, 8-bit for raw SPI)
- I2S sample rate matches LED bit rate requirement
- SPI/I2S DMA buffer count adequate (≥2 for double buffering)
- SPI/I2S CS/CLK/DATA pins not conflicting with flash (GPIO 6-11 forbidden on ESP32)
- SPI transaction callback used to notify completion (not blocking transmit)
6. PARLIO-Specific Checks (ESP32-S3 Parallel Output)
- PARLIO clock source and divider correctly configured for target bit rate
- Data bus width matches LED strip count (1, 2, 4, 8, or 16 parallel strips)
- PARLIO DMA buffer aligned to cache line boundaries
- Output enable pin wired or bypassed correctly
Show full SKILL.md (330 more words)Show less
7. Memory Management
- LED CRGB buffer allocation checked for NULL (large strips can exhaust heap)
- No large stack-allocated arrays in show() path (> 512 bytes on stack is risky)
- PSRAM usage documented when LED buffers are placed in SPIRAM
- Free heap monitored at startup and logged (alert if < 10KB before show())
- No memory leaks in driver initialization error paths
- String/buffer operations have bounds checking
8. Peripheral Pin Safety
- GPIO 6-11 not used for any output (ESP32 internal flash pins)
- GPIO 34-39 not used for output (input-only on original ESP32)
- Strapping pins (0, 2, 12, 15) not used without awareness of boot implications
- ADC2 channels not used alongside Wi-Fi (GPIO 0, 2, 4, 12-15, 25-27)
- Pin assignments match board schematic or documented LED strip wiring
9. Error Handling
- All ESP-IDF API return values checked (esp_err_t, esp_err check macros)
- Driver initialization failures reported with meaningful error messages
- Graceful degradation: driver failure doesn't crash the whole application
- Timeout values defined for all blocking operations
- Error paths clean up allocated resources (channels, DMA buffers, callbacks)
10. Code Quality & Maintainability
- Platform guards (
#ifdef FASTLED_ESP32,#ifdef CONFIG_IDF_TARGET_ESP32S3, etc.) correct - No magic numbers — timing constants named and commented with source (datasheet)
- Driver variant selection at compile time, not runtime (no dynamic dispatch overhead)
- Header includes minimal (no platform headers leaked into public FastLED API)
- Porting guide updated if new platform port added (see
PORTING.md)
Output Format
# ESP32 Architecture Review Report
## Scope
- **Files reviewed**: [list]
- **Driver type**: [RMT / I2S / SPI / PARLIO / Other]
- **Target chip**: [ESP32 / ESP32-S2 / ESP32-S3 / ESP32-C3 / ESP32-C6 / ESP32-H2]
## Overall Assessment
[PASS / PASS WITH NOTES / FAIL]
## Critical Issues (must fix before merge)
- [ ] [Issue description + file:line reference]
## Warnings (should fix)
- [ ] [Issue description]
## Recommendations (consider for future)
- [ ] [Suggestion]
## Checklist Results
[Filled checklist from sections above — mark each PASS / FAIL / N/A]Common FastLED ESP32 Architecture Anti-Patterns
| Anti-Pattern | Problem | Fix |
|---|---|---|
show() in ISR | Blocks ISR with long DMA wait | Move to task, use semaphore from ISR |
| Stack-allocated encode buffer | Stack overflow on high LED counts | Use heap or static allocation |
| Polling DMA completion | Wastes CPU, may block IDLE | Use DMA completion callback/semaphore |
| Shared RMT channel for multiple strips | Data corruption | One channel per strip |
malloc() without MALLOC_CAP_DMA | DMA transfer fails silently | Always use heap_caps_malloc for DMA buffers |
| Timing constants without datasheet reference | Hard to audit or adapt | Add comments citing datasheet section |
| Runtime color order switch | Branch overhead per LED | Use compile-time template parameter |
© FastLED, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/esp32-arch-review of FastLED/FastLED.
Open the folder on GitHubat commit 7d26d7f
Compare with similar skills
Esp32 Arch Review 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 |
|---|---|---|---|---|---|---|
| Esp32 Arch Review this skillFastLED/FastLED | 7.5k | — | ~1.9k | Automated safety check: Pass | MIT | |
| RuView Hardware Setupruvnet/RuView | 97k | — | ~1.8k | Automated safety check: Notes | MIT | |
| Esp32 Firmware Engineeralxv2016/folloup-sticky | 117 | 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 |
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Related
Works with
Categories
Questions about Esp32 Arch Review
What does Esp32 Arch Review do?
Review ESP32 FastLED firmware architecture for RTOS safety, DMA correctness, LED driver patterns, memory management, and peripheral safety. Esp32 Arch Review is an agent skill from FastLED/FastLED. Review ESP32 FastLED firmware architecture for RTOS safety, DMA correctness, LED driver patterns, memory management, and peripheral safety.
When should I use Esp32 Arch Review?
Esp32 Arch Review fits situations like: tasks that involve Embedded systems.
How do I install Esp32 Arch Review in Claude Code?
Run `npx skills add FastLED/FastLED --skill esp32-arch-review -a claude-code`. Or copy the skill folder (.claude/skills/esp32-arch-review in FastLED/FastLED) into .claude/skills/esp32-arch-review in your project. Claude Code loads it when a task matches its description.
How do I install Esp32 Arch Review in Codex?
Run `npx skills add FastLED/FastLED --skill esp32-arch-review -a codex`. Or copy the skill folder (.claude/skills/esp32-arch-review in FastLED/FastLED) into .agents/skills/esp32-arch-review in your project. Codex loads it when a task matches its description.
Can I use Esp32 Arch Review 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 FastLED/FastLED --skill esp32-arch-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/esp32-arch-review, .gemini/skills/esp32-arch-review, .github/skills/esp32-arch-review and .opencode/skills/esp32-arch-review in your project.
What does Esp32 Arch Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Esp32 Arch Review is instructions for the agent only.
Does Esp32 Arch Review 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 Esp32 Arch Review 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. Review the folder before installing.
What licence does Esp32 Arch Review use?
Esp32 Arch Review 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 Esp32 Arch Review use?
About 1.9k tokens (SKILL.md is roughly 7.6k 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 Esp32 Arch Review?
Skills that share tags, products or a category with Esp32 Arch Review: RuView Hardware Setup (ruvnet/RuView, 97k stars), Esp32 Firmware Engineer (alxv2016/folloup-sticky, 117 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.
Who maintains Esp32 Arch Review?
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 10, 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.