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.
Parse and classify ESP32 serial log output to identify FastLED-related errors, RMT/I2S/SPI driver faults, timing violations, RTOS issues, and crash signatures.
$ npx skills add FastLED/FastLED --skill esp32-log-triage -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FastLED/FastLED esp32-log-triage --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-log-triage .claude/skills/esp32-log-triage && 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-log-triage" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-log-triage into .claude/skills/esp32-log-triage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-log-triage", 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-log-triageType 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-log-triage -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FastLED/FastLED esp32-log-triage --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-log-triage .agents/skills/esp32-log-triage && 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-log-triage" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-log-triage into .agents/skills/esp32-log-triage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-log-triage", 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-log-triage -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FastLED/FastLED esp32-log-triage --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-log-triage .cursor/skills/esp32-log-triage && 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-log-triage" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-log-triage into .cursor/skills/esp32-log-triage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-log-triage", 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-log-triage--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-log-triage -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FastLED/FastLED esp32-log-triage --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-log-triage .gemini/skills/esp32-log-triage && 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-log-triage" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-log-triage into .gemini/skills/esp32-log-triage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-log-triage", 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-log-triageInstalls 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-log-triage -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-log-triage .github/skills/esp32-log-triage && 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-log-triage" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-log-triage into .github/skills/esp32-log-triage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-log-triage", 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-log-triage -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-log-triage --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-log-triage .opencode/skills/esp32-log-triage && 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-log-triage" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-log-triage into .opencode/skills/esp32-log-triage/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-log-triage", 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.
esp32-log-triageParse and classify ESP32 serial log output to identify FastLED-related errors, RMT/I2S/SPI driver faults, timing violations, RTOS issues, and crash signatures.
Esp32 Log Triage is an agent skill from 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. Use when debugging unexpected device behavior, boot failures, or LED output problems on ESP32.
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.
5 steps, taken from the step headings in SKILL.md.
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 (its code samples are bash and markdown).
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.
Esp32 Log Triage loads about 1.9k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 533 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). 533 words, ~1,885 tokens.
.claude/skills/esp32-log-triage/SKILL.md (or your agent's skills folder).Systematically analyze ESP32 serial log output to identify and classify issues, with special focus on FastLED driver faults, LED timing errors, and RTOS problems.
$ARGUMENTS
[LEVEL][TAG] (TIMESTAMP) MESSAGESeverity levels (E > W > I > D > V):
E — Error (critical failures, always investigate)W — Warning (potential issues, context-dependent)I — Info (normal operation markers)D — Debug (detailed tracing, enabled per component)V — Verbose (maximum detail)E (rmt): rmt_ll_write_memory: ... → RMT buffer write fault
E (RMT): install_rmt failed → RMT channel allocation failure
W (RMT): RMT timeout → LED strip not responding
E (FastLED): RMT encoder error → Timing encoding failed
rmt: rmt_config_err → Wrong RMT clock or resolutionE (I2S): i2s_driver_install failed → I2S DMA setup error
E (I2S): DMA buffer not enough → Increase DMA buffer count
W (I2S): i2s_write timeout → DMA stall, check task priorityE (SPI): spi_bus_initialize failed → SPI bus conflict or pin issue
E (SPI): spi_device_transmit failed → Transmission error
W (SPI): DMA not aligned → Buffer alignment issue for DMAE (PARLIO): parlio_tx_unit_init failed → PARLIO DMA setup error
E (PARLIO): parlio clock config failed → Clock source conflictE (heap): Failed to alloc N bytes → Heap exhaustion (too many LEDs?)
W (heap): Heap corruption detected → Memory overwrite, check LED array bounds
assert failed: led_count > 0 → Zero-length LED strip configuredrst:0x1 (POWERON_RESET) → Normal power-on, no concern
rst:0x3 (SW_RESET) → Software reset (intentional or crash recovery)
rst:0x7 (TG0WDT_SYS_RESET) → Task watchdog: show() blocking too long?
rst:0x8 (TG1WDT_SYS_RESET) → Interrupt watchdog: ISR took too long
rst:0xf (BROWNOUT_RESET) → Insufficient power (LEDs drawing too much current?)
rst:0xc (SW_CPU_RESET) → Panic/abort → look for Guru Meditation above| Pattern | Likely Cause |
|---|---|
LoadProhibited + EXCVADDR ~0x0 | NULL pointer (uninitialized LED strip?) |
StoreProhibited | Write to read-only or invalid memory |
InstrFetchProhibited | Jump to invalid address (corrupt function pointer) |
IllegalInstruction | Stack overflow or heap corruption |
IntegerDivideByZero | Division by zero in LED math |
StackOverflow + task name | Task stack too small for FastLED show() |
abort() called | Assertion failure, check log lines above |
Cache disabled but cache memory range accessed | ISR accessing flash (IRAM_ATTR missing) |
FastLED's show() call can trigger watchdog resets if:
show() is called from a task with watchdog enabledLook for patterns like:
Task watchdog got triggered. The following tasks/users did not reset the watchdog in time:
- IDLE (CPU 0)Combined with FastLED show() in the call stack — this means the main task is blocking the idle task.
Free heap: XXXX bytes → Monitor across frames; declining = leak
DRAM free: XXXX bytes → Internal RAM; FastLED LED buffers go here
SPIRAM free: XXXX bytes → PSRAM; check if LED buffers placed hereFastLED LED buffers: each CRGB is 3 bytes. 1000 LEDs = 3KB heap per strip.
Find the first rst: line in the log — this tells you how the device started.
Search for Guru Meditation, LoadProhibited, StoreProhibited, abort() — decode the backtrace.
| Category | Indicators |
|---|---|
| Power issue | Brownout resets, unstable readings |
| FastLED RMT fault | RMT errors, rmt_config_err, install_rmt failed |
| Heap exhaustion | Failed to alloc, declining free heap |
| Watchdog | TG0WDT/TG1WDT reset, show() blocking |
| ISR violation | Cache disabled but cache memory range accessed |
| Stack overflow | StackOverflow + task name |
| NULL pointer | EXCVADDR ~0x00000000 |
A healthy FastLED ESP32 boot looks like:
I (xxx) FastLED: Registered N LEDs on pin Y
I (xxx) rmt: rmt channel N ... successfullyIf either of these is missing, FastLED never initialized correctly.
# Extract backtrace addresses from log
xtensa-esp32-elf-addr2line -pfiaC -e build/firmware.elf 0xADDR1 0xADDR2
# Or use idf.py monitor for live decoding
idf.py -p /dev/ttyUSB0 monitor# ESP32 Log Triage Report
## Summary
- **Reset reason**: [from boot log]
- **Issue type**: [Power / RMT fault / Heap / Watchdog / ISR violation / Stack overflow / NULL pointer]
- **Severity**: [CRITICAL / HIGH / MEDIUM / LOW]
- **FastLED component affected**: [RMT / I2S / SPI / PARLIO / LED buffer / None]
## Key Events (chronological)
1. [timestamp] [event]
2. [timestamp] [event]
## Error Patterns
- `[pattern]`: [count] occurrences — [interpretation]
## Root Cause Hypothesis
[Most likely cause based on evidence]
## Recommended Next Steps
1. [Action — specific to FastLED or ESP32]
2. [Action]
## Raw Evidence
[Relevant log excerpts with timestamps]esp_task_wdt_reset() around show() or move FastLED show() to a dedicated task without watchdogMALLOC_CAP_SPIRAMIRAM_ATTR on all ISR functions© 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/esp32-log-triage of FastLED/FastLED.
Open the folder on GitHubat commit c97d721
Esp32 Log Triage 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 Log Triage 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 | 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
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.
FastLED/FastLED
Guide Test-Driven Development workflow for FastLED. An agent skill from FastLED/FastLED.
Works with
Categories
Parse and classify ESP32 serial log output to identify FastLED-related errors, RMT/I2S/SPI driver faults, timing violations, RTOS issues, and crash signatures. Esp32 Log Triage is an agent skill from 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.
Esp32 Log Triage fits situations like: debugging unexpected device behavior; LED output problems on ESP32.
Run `npx skills add FastLED/FastLED --skill esp32-log-triage -a claude-code`. Or copy the skill folder (.claude/skills/esp32-log-triage in FastLED/FastLED) into .claude/skills/esp32-log-triage in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FastLED/FastLED --skill esp32-log-triage -a codex`. Or copy the skill folder (.claude/skills/esp32-log-triage in FastLED/FastLED) into .agents/skills/esp32-log-triage 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 esp32-log-triage -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-log-triage, .gemini/skills/esp32-log-triage, .github/skills/esp32-log-triage and .opencode/skills/esp32-log-triage in your project.
SKILL.md names no scripts, command-line tools or credentials: Esp32 Log Triage 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.
Esp32 Log Triage is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.5k 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 Esp32 Log Triage: 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.