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Updated 7mo ago

by ylongw

embedded-review

Embedded/firmware code review skill for AI agents. Memory safety, interrupt correctness, RTOS pitfalls, hardware interfaces, C/C++ traps. STM32/Cortex-M/FreeRTOS focused.

View on GitHub (opens in a new tab)

50 GitHub stars (50)

  • 1 skill (1 skills found in its SKILL.md files)
  • 8 forks (8 forks)
  • 7mo ago last update (Last updated 7mo ago)

Install

Skills CLI

npx skills add ylongw/embedded-review

Asks which agents to install it for. Add -g to install it for every project.

Claude Code

git clone https://github.com/ylongw/embedded-reviewcp -r "embedded-review" ~/.claude/skills/embedded-review

Copies the embedded-review skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project).

Plugin

/plugin marketplace add ylongw/embedded-review

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • embedded-review

    Expert code review for embedded/firmware projects with dual-model cross-review (Claude + Codex via ACP). Detects memory safety, interrupt hazards, RTOS pitfalls, hardware interface bugs, and C/C++ anti-patterns. Trigger when user asks to review embedded/firmware/MCU code changes, diffs, or PRs. Examples: 'review firmware-pro2 的改动', 'review the NFC changes', '/embedded-review ~/path/to/repo', '/em…

    SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.