Qt C++ Code Review
x-tools-author/x-tools
Read-only review of Qt6 C++ code that combines a deterministic lint script with six parallel analysis agents and reports only high-confidence issues.
Review staged and unstaged code changes for FastLED coding standards violations, span usage mandates, and example quality.
$ npx skills add FastLED/FastLED --skill code-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FastLED/FastLED code-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/code-review .claude/skills/code-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 "code-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/code-review into .claude/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-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/code-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 code-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FastLED/FastLED code-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/code-review .agents/skills/code-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 "code-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/code-review into .agents/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-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 code-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FastLED/FastLED code-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/code-review .cursor/skills/code-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 "code-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/code-review into .cursor/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-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/code-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 code-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FastLED/FastLED code-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/code-review .gemini/skills/code-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 "code-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/code-review into .gemini/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-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 code-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 code-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/code-review .github/skills/code-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 "code-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/code-review into .github/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-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 code-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 code-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/code-review .opencode/skills/code-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 "code-review" agent skill from https://github.com/FastLED/FastLED/tree/master/.claude/skills/code-review into .opencode/skills/code-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "code-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.
code-reviewReview staged and unstaged code changes for FastLED coding standards violations, span usage mandates, and example quality.
Code Review is an agent skill from FastLED/FastLED. Review staged and unstaged code changes for FastLED coding standards violations, span usage mandates, and example quality. Use after making code changes to ensure compliance.
Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `review-rules.md`).
It sits in Development, covering Code review and Code quality. It works with Git. 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 first numbered list 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:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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.
Code Review loads about 554 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 206 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). 206 words, ~554 tokens.
.claude/skills/code-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.You are a specialized code review agent for FastLED. Review staged and unstaged changes according to strict rules.
git diff --cached to see staged changesgit diff to see unstaged changesThe detailed rules in review-rules.md cover these areas:
| Files | Rules |
|---|---|
src/** | No try-catch, span usage, signed integer overflow, singleton patterns, alignment attributes, performance attributes, unused variables, API unit propagation |
src/** + examples/** | Span usage mandates, Arduino String ban |
examples/** | AI slop detection for new .ino files |
ci/**/*.py | KeyboardInterrupt handling, type annotations |
**/meson.build | No embedded Python, no duplication, config as data |
**/*.h + **/*.cpp | Platform header isolation, file/class name normalization, redundant virtual on override |
tests/** | No threading in mocks, FL_CHECK vs FL_REQUIRE, stack-use-after-scope with LED arrays |
src/platforms/** | Missing platform version guards |
src/** + tests/** | Unnecessary suppression comments |
## Code Review Results
### File-by-file Analysis
- **src/file.cpp**: [no issues / violations found]
- **examples/file.ino**: [status and action taken]
### Summary
- Files reviewed: N
- Violations found: N (categorized)
- Violations fixed: N
- User confirmations needed: N© FastLED, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in .claude/skills/code-review of FastLED/FastLED.
Open the folder on GitHubat commit ce225ed
Code 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 |
|---|---|---|---|---|---|---|
| Code Review this skillFastLED/FastLED | 7.5k | — | ~554 | Automated safety check: Pass | MIT | |
| Qt C++ Code Reviewx-tools-author/x-tools | 1.1k | 2 repos | ~4.3k | Automated safety check: Pass | BSD-3-Clause | |
| Adversarial Reviewer302ai/302-AI-Studio | 132 | 1 repos | ~3k | Automated safety check: Pass | MIT | |
| Feature-Level Code Reviewdataelement/bisheng | 12k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Two-Axis Code Reviewrengwu/wayfinder-maps | 134 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Code Revieweralirezarezvani/claude-code-tresor | 777 | — | ~1.8k | Automated safety check: Pass | MIT |
x-tools-author/x-tools
Read-only review of Qt6 C++ code that combines a deterministic lint script with six parallel analysis agents and reports only high-confidence issues.
302ai/302-AI-Studio
Adversarial code review that breaks the self-review monoculture.
dataelement/bisheng
Runs a seven-dimension code review on a finished feature, comparing the diff against a base branch and the feature's spec, design and task files.
rengwu/wayfinder-maps
Reviews the changes since a commit, branch or tag along two separate axes: the repo's documented coding standards and fidelity to the originating spec or PRD.
alirezarezvani/claude-code-tresor
Automatic code quality and best practices analysis. An agent skill from alirezarezvani/claude-code-tresor.
MageByte-Zero/spec-superflow
Review completed implementation batches for spec compliance and code quality.
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
Review staged and unstaged code changes for FastLED coding standards violations, span usage mandates, and example quality. Code Review is an agent skill from FastLED/FastLED. Review staged and unstaged code changes for FastLED coding standards violations, span usage mandates, and example quality.
Code Review fits situations like: tasks that involve Code review; tasks that involve Code quality.
Run `npx skills add FastLED/FastLED --skill code-review -a claude-code`. Or copy the skill folder (.claude/skills/code-review in FastLED/FastLED) into .claude/skills/code-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FastLED/FastLED --skill code-review -a codex`. Or copy the skill folder (.claude/skills/code-review in FastLED/FastLED) into .agents/skills/code-review 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 code-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/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.
Going by SKILL.md and its folder, Code Review needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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.
Code Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 554 tokens (SKILL.md is roughly 2.2k 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 Code Review: Qt C++ Code Review (x-tools-author/x-tools, 1.1k stars), Adversarial Reviewer (302ai/302-AI-Studio, 132 stars), Feature-Level Code Review (dataelement/bisheng, 12k stars) and Two-Axis Code Review (rengwu/wayfinder-maps, 134 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.