RuView CLI, API and WASM
ruvnet/RuView
Covers the RuView `wifi-densepose` command line binary, its Axum REST API and the WebAssembly builds for browsers and ESP32, for embedding or scripting RuView.
Generate a structured multi-layer test plan for FastLED changes targeting ESP32.
$ npx skills add FastLED/FastLED --skill esp32-test-plan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FastLED/FastLED esp32-test-plan --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-test-plan .claude/skills/esp32-test-plan && 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-test-plan" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-test-plan into .claude/skills/esp32-test-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-test-plan", 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-test-planType 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-test-plan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FastLED/FastLED esp32-test-plan --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-test-plan .agents/skills/esp32-test-plan && 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-test-plan" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-test-plan into .agents/skills/esp32-test-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-test-plan", 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-test-plan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FastLED/FastLED esp32-test-plan --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-test-plan .cursor/skills/esp32-test-plan && 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-test-plan" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-test-plan into .cursor/skills/esp32-test-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-test-plan", 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-test-plan--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-test-plan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FastLED/FastLED esp32-test-plan --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-test-plan .gemini/skills/esp32-test-plan && 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-test-plan" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-test-plan into .gemini/skills/esp32-test-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-test-plan", 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-test-planInstalls 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-test-plan -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-test-plan .github/skills/esp32-test-plan && 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-test-plan" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-test-plan into .github/skills/esp32-test-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-test-plan", 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-test-plan -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-test-plan --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-test-plan .opencode/skills/esp32-test-plan && 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-test-plan" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/esp32-test-plan into .opencode/skills/esp32-test-plan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esp32-test-plan", 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-test-planGenerate a structured multi-layer test plan for FastLED changes targeting ESP32.
Esp32 Test Plan is an agent skill from FastLED/FastLED. Generate a structured multi-layer test plan for FastLED changes targeting ESP32. Covers host unit tests, WASM compile checks, platform compile checks, and hardware validation. Use after defining an implementation contract, before writing any 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 Testing & QA, covering Test generation, Embedded systems and Unit testing. It works with ESP32 and WebAssembly. 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 ce225ed. 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.
Shell commands in SKILL.md call:
bashFrom 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 Test Plan loads about 1.9k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 470 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 ce225ed, republished under its MIT licence (© FastLED). 470 words, ~1,892 tokens.
.claude/skills/esp32-test-plan/SKILL.md (or your agent's skills folder).Generate a comprehensive test plan for a FastLED ESP32 change, covering all applicable testing layers from host logic to hardware validation.
$ARGUMENTS
FastLED uses a layered testing strategy where each layer catches a different class of bugs:
| Layer | What It Catches | Speed | Hardware Needed |
|---|---|---|---|
| Host unit tests | Logic bugs, math errors, data structure issues | Seconds | No |
| WASM compile | Cross-platform compile errors, API misuse | 1-2 min | No |
| Platform compile | Platform-specific guards, missing headers | 5-15 min | No |
| Hardware validation | Actual LED output correctness, timing | Manual | Yes |
Rule: Always maximize no-hardware test coverage. Hardware tests are the last resort, not the first.
Determine which layers apply based on the type of change:
For each applicable layer, list specific test cases:
Positive cases: Valid inputs produce expected output Negative cases: Invalid inputs fail gracefully (NULL pointers, out-of-bounds, zero length) Boundary cases: Limits of buffers, ranges, LED counts Regression cases: Existing behavior must be preserved
# Run all host unit tests
bash test --cpp
# Run a specific test by name
bash test TestName
# Run test in debug mode (ASAN/LSAN/UBSAN — always use when a test fails)
bash test TestName --debug
# Compile for WASM (catches most cross-platform issues without hardware)
bash compile wasm --examples Blink
bash compile wasm --examples Chromancer
# Compile for a specific ESP32 variant
bash compile esp32dev --examples Blink
bash compile esp32s3 --examples Blink
bash compile esp32c3 --examples Blink
# Run linting
bash lint
# Hardware validation (requires connected ESP32)
bash autoresearch --rmt # For RMT-based LED drivers
bash autoresearch --spi # For SPI-based LED drivers
bash autoresearch --parlio # For PARLIO (ESP32-S3 parallel)Host tests live in tests/. Conventions:
src/fl/foo.h → tests/fl/foo.cppFL_CHECK_EQ, FL_REQUIRE_TRUE assertion macrostest.h and FastLED.h// Example test structure for tests/fl/my_feature.cpp
#include "test.h"
#include "FastLED.h"
#include "fl/my_feature.h"
using namespace fl;
namespace {
TEST_CASE("MyFeature - basic operation") {
MyFeature f;
FL_CHECK_EQ(f.compute(0), 0);
FL_CHECK_EQ(f.compute(255), 255);
}
TEST_CASE("MyFeature - boundary values") {
MyFeature f;
FL_REQUIRE_TRUE(f.compute(256) <= 255); // no overflow
}
} // namespace# Test Plan: [Feature Name]
## Change Reference
- Implementation contract: [link or description]
- Related issue: [GitHub issue number]
## Test Layers
### Layer 1: Host Unit Tests
**Command**: `bash test TestName`
| Test Case | Input | Expected Output | Status |
|-----------|-------|-----------------|--------|
| [description] | [input] | [expected] | ⬜ Pending |
### Layer 2: WASM Compile Check
**Command**: `bash compile wasm --examples Blink`
| Check | Expected | Status |
|-------|----------|--------|
| Compiles without errors | No compiler errors | ⬜ Pending |
| Compiles without warnings | 0 new warnings | ⬜ Pending |
### Layer 3: Platform Compile Checks
**Command**: `bash compile <platform> --examples Blink`
| Platform | Command | Status |
|---------|---------|--------|
| ESP32 | `bash compile esp32dev --examples Blink` | ⬜ Pending |
| ESP32-S3 | `bash compile esp32s3 --examples Blink` | ⬜ Pending |
| ESP32-C3 | `bash compile esp32c3 --examples Blink` | ⬜ Pending |
| AVR (Uno) | `bash compile uno --examples Blink` | ⬜ Pending |
### Layer 4: Hardware Validation
**Command**: `bash autoresearch --<driver>`
| Test Case | Setup | Expected Behavior | Status |
|-----------|-------|-------------------|--------|
| [description] | [board + wiring] | [expected LED output] | ⬜ Pending (hardware) |
## Infrastructure Requirements
- [ ] New test file: `tests/fl/[name].cpp`
- [ ] Example sketch modification (if testing new API): `examples/[name]/`
- [ ] Hardware board: [ESP32 variant] + [LED strip type]
## No-Hardware Tests
[Tests that run on host — must cover the majority of logic]
## Hardware-Required Tests
[Tests that need real ESP32 + LED strip]
- Must be verified by a human with the hardware
- Document serial output and visual confirmation
## Coverage Goals
- All new public API functions have at least one test case
- All error paths have a negative test case
- Critical timing constants have a verification test or hardware measurement
- No regressions: `bash test --cpp` passes with zero new failures
## Pass/Fail Criteria
| Criterion | Measurement |
|-----------|------------|
| Host tests pass | `bash test --cpp` exits 0 |
| WASM compiles | `bash compile wasm` exits 0 |
| Platform compiles | All listed platforms exit 0 |
| Hardware validated | Human-verified LED output correct |
| No regressions | 0 new test failures vs. main branch |bash test TestName --debug enables ASAN/UBSAN that catch memory errors not visible in quick mode.bash test --cpp) before declaring done.© 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-test-plan of FastLED/FastLED.
Open the folder on GitHubat commit ce225ed
Esp32 Test Plan 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 Test Plan this skillFastLED/FastLED | 7.5k | — | ~1.9k | Automated safety check: Pass | MIT | |
| RuView CLI, API and WASMruvnet/RuView | 97k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Adk Verify Snippetsgoogle/adk-python | 22k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Hermetic Python Unit TestsdimensionalOS/dimos | 4.6k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Adding Internal API RouteTriliumNext/Trilium | 38k | — | ~3.3k | Automated safety check: Pass | AGPL-3.0 | |
| OpenROAD Module Test AdderThe-OpenROAD-Project/OpenROAD | 3.2k | — | ~1.8k | Automated safety check: Pass | BSD-3-Clause |
ruvnet/RuView
Covers the RuView `wifi-densepose` command line binary, its Axum REST API and the WebAssembly builds for browsers and ESP32, for embedding or scripting RuView.
google/adk-python
Checks that every Python code block in a Markdown file actually compiles and runs, by extracting each block to a temporary file, executing it in an isolated subprocess, and writing a pass/fail…
dimensionalOS/dimos
Rules for writing, fixing and reviewing pytest unit tests that are hermetic: behavior-focused, deterministic, isolated and cheap to run.
TriliumNext/Trilium
A skill your agent uses when adding, moving, or wiring an internal REST endpoint in Trilium (a new /api/ route) — choosing between a core-shared handler (packages/trilium-core/src/routes/index.ts…
The-OpenROAD-Project/OpenROAD
Adds integration or unit tests to an OpenROAD module: writes the Tcl test, generates golden files and registers it in both CMake and Bazel.
leonardomso/33-js-concepts
Generates Vitest tests for every runnable code example on a JavaScript concept documentation page, following a four-phase extraction and conversion process.
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
Generate a structured multi-layer test plan for FastLED changes targeting ESP32. Esp32 Test Plan is an agent skill from FastLED/FastLED. Generate a structured multi-layer test plan for FastLED changes targeting ESP32.
Esp32 Test Plan fits situations like: tasks that involve Test generation; tasks that involve Embedded systems; tasks that involve Unit testing.
Run `npx skills add FastLED/FastLED --skill esp32-test-plan -a claude-code`. Or copy the skill folder (.claude/skills/esp32-test-plan in FastLED/FastLED) into .claude/skills/esp32-test-plan in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FastLED/FastLED --skill esp32-test-plan -a codex`. Or copy the skill folder (.claude/skills/esp32-test-plan in FastLED/FastLED) into .agents/skills/esp32-test-plan 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-test-plan -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-test-plan, .gemini/skills/esp32-test-plan, .github/skills/esp32-test-plan and .opencode/skills/esp32-test-plan in your project.
Going by SKILL.md and its folder, Esp32 Test Plan needs the command-line tools its instructions call (bash).
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 Test Plan 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 7.6k 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 Test Plan: RuView CLI, API and WASM (ruvnet/RuView, 97k stars), Adk Verify Snippets (google/adk-python, 22k stars), Hermetic Python Unit Tests (dimensionalOS/dimos, 4.6k stars) and Adding Internal API Route (TriliumNext/Trilium, 38k 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 8, 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.