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Execute whitelisted commands on the host machine from inside a container
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Run the codex ↔ developer review cycle on a GitHub PR autonomously — fetch codex findings on the latest commit, evaluate each fairly on the merits, fix legitimate ones with project-appropriate commits + tests, push, post a fresh `@codex review` top-level PR comment, and either schedule the next wakeup (continue) or return without scheduling (stop). Designed to be invoked via `/loop /codex-review-loop` so the `/loop` harness provides the cross-invocation cadence; the skill itself does exactly one cycle per call and decides whether there is a next cycle. Use whenever the user says "codexのレビュー対応して", "codex とのラリー回して", "codex review loop", "@codexと回して", "codexのレビュー対応ループ", or otherwise indicates they want the codex review rally handled end-to-end. Also use proactively right after the user creates a PR that codex will review, if they signal they want the back-and-forth handled. Handles codex's 👀-reaction heartbeat: a 👀 on your re-request comment means codex is processing; absence after a reasonable wait means the me
Creates a pull request by analyzing the diff between the current branch and origin/main (or master). If a PR template exists, follows it. Asks for language preference first, presents a draft for approval, and only pushes/creates PR after user confirmation. Use when the user says "create PR", "make a pull request", "submit PR", or similar.
Generates a visual, step-by-step explanation of any concept, code, architecture, or process the user asks about. Saves the result as a Markdown file in a tmp directory so the user can view it in a Markdown previewer with rendered Mermaid diagrams. Use this skill whenever the user says "/explain", asks you to explain something in detail, wants a visual walkthrough, or requests a diagram-rich explanation. Also trigger when the user asks things like "how does X work?", "walk me through Y", "explain Z step by step", or "I don't understand W" — especially when the topic is complex enough to benefit from diagrams.
Generate raster images from text prompts using Google's Gemini / Imagen API (Nano Banana = gemini-3-pro-image, and Imagen 4). Use this whenever the user asks to create, generate, draw, make, or design an image, illustration, picture, icon, logo, hero/cover/banner art, background, texture, avatar, concept art, or any visual asset — including phrasings like "画像作って", "イラスト描いて", "図を作って", "アイキャッチ", "サムネ", "挿絵", "ビジュアル". Also use PROACTIVELY (without being asked) when building a website, slide deck, document, README, or learning material that would clearly benefit from illustrations or visual assets. Supports reference images for editing and for keeping a consistent art style across many images. Note: for precise charts/graphs/diagrams with exact text or math, prefer SVG or code — AI raster generation garbles text and equations.
LAPRAS MCPを起点に、外部ソースの横断調査・本人へのヒアリング・デザイン方向の提案・実装までを一気通貫で行い、その人にしかない「ナラティブ・ポートフォリオ」（キャリアを物語として体験させる自作Webページ）を作り上げる。ユーザーが「narrative-portfolio」「ナラティブポートフォリオを作りたい」「LAPRASのデータで自分のポートフォリオ/年表/キャリアの物語を作って」と言ったら必ず使う。LAPRAS MCPが設定されている環境で、ポートフォリオ・経歴の可視化・自己紹介ページ・キャリアの振り返りコンテンツの相談を受けたときも、明示的な指名がなくてもこのスキルを提案する。
Turn a feature idea, bug, refactor, or UI tweak into a zero-ambiguity GitHub Issue that a junior-level worker AI (Cursor's Composer 2, or a similarly cheap model) can implement without making a single meaningful decision. Grills the user relentlessly one question at a time, researches the codebase, compares libraries, and records rejected alternatives so the worker can't drift mid-implementation. Use this skill whenever the user asks to "ticket this", "make an issue", "spec this out", "hand this off to Composer / Cursor / the worker", "チケット化して", "Issueにして", "prepare a spec", or gives you a GitHub Issue URL and asks to update the description. Make sure to use this skill for ANY handoff from planning (Opus 4.6) to implementation (cheap worker model) — features, bugs, refactors, or UI — even when the user doesn't explicitly say "issue" or "ticket" but the intent is to write a worker-ready spec.
| name | host-cmd |
| description | Execute whitelisted commands on the host machine from inside a container |
Execute commands on the host machine via host-cmd.
host-cmd <command> [args...]
host-cmd npm run build
host-cmd git status
host-cmd docker-compose ps