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Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Self-review loop for YOUR OWN PR — request AI reviews (Copilot + Gemini), apply their fixes, push, re-request, and repeat until clean. NOT for reviewing someone else's PR. Use when the user asks to self-review their PR, run the AI review loop, or wants Copilot + Gemini to review their own code. Trigger phrases include "self-review", "self-pr-review", "review my PR", "AI review my PR", "review loop", "copilot + gemini review", "run self-review on my PR".
Drive an already-running, LOGGED-IN Chromium browser on macOS via AppleScript — navigate, click, fill forms, scroll, and extract page content from the user's REAL session, with the browser left open and NO profile copy and NO restart. Use when the task needs the existing logged-in session (cookies, auth, current tabs) reused as-is. Trigger phrases: "chrome-use", "ブラウザから取得", "ログイン済みの Chromeで", "ブラウザを操作して", "このページ読んで", "Xのスレッド読んで", "ログインしたまま取得", "自分のセッションでスクレイプ", "read this page in my browser", "scrape with my session", "drive my chrome", "execute JS in my (logged-in) browser", "automate my logged-in browser". Chromium family (Chrome default; Brave/Edge/Arc/Vivaldi via --app). NOT for isolated/throwaway automation where login reuse is unneeded — use playwright-cli for that. macOS only.
Create, build, and install custom Claude Code skills into Hideki's local marketplace. End-to-end workflow from requirements gathering to a fully installed and usable skill. Use when the user asks to create a new skill, build a skill, make a plugin, add a new capability, or says "make me a skill for X". Also use when updating or reinstalling an existing custom skill. Trigger phrases include "create skill", "make skill", "new skill", "build plugin", "skill for X", "update skill".
Turn a finished grill-me (or any design-finalizing) session into a running implementation kickoff. Synthesizes the session's shared understanding into a self-contained implementation brief, hardens it with a small agent team and an adversarial codex-server review loop (until Codex approves), then launches a backgrounded, remote-controllable, autonomous Claude Code session (claude-bg / ccb-style: --permission-mode auto --allow-dangerously-skip-permissions --bg --remote-control) that runs /prd-council seeded with the brief to produce the execution-ready plan and begin implementation. Confirm-before-launch by default. Document/prompt generation + session spawning; it does not itself write feature code. Use AFTER a grill session when the user wants to hand the agreed design off to a fresh autonomous session. Trigger patterns (match any variation): grill-to-impl / grill to impl / grill→impl / grillの成果を実装へ / grillしたセッションから実装 / grillした内容でbriefを作って / briefを作ってCodexにレビュー / Codexにレビューさせてからprdーcouncil / 別セッションでprd-counc
Run OpenAI Codex via the Codex App Server (JSON-RPC-over-stdio) for streaming multi-turn chat sessions with persistent threads, structured output, image input, and rich event streams. Default entry point for ChatGPT/GPT/Codex-like conversations from the terminal. Uses the user's ChatGPT subscription (Plus / Pro / Team) exclusively via `codex login` — never consumes OPENAI_API_KEY billing, by design. Implementation: TypeScript on deno with npm:@openai/codex-sdk; spawns the existing system codex binary. Decoupled async invocation: every turn returns turn-id in <1 s; the actual SDK work runs in a detached worker that streams to per-turn files under ~/.codex-server/turns/<turn-id>/ — Bash's 2-min timeout never applies. Prefer this over codex-cli for streaming UX, multi-turn dialogues that need live state, structured (JSON schema) output, attaching images, or programmatic event handling. Use codex-cli only for one-shot batch invocations that pre-capture to an -o file. Trigger patterns (match any variation): codex
Turn a feature idea into an execution-ready document set through an adversarial PRD "council": grill the user for requirements, draft a PRD, then debate it with OpenAI Codex round-by-round until BOTH sides approve, and finally emit a Technical PRD (one overall summary + one per UseCase) plus a task list with agent assignments, dependencies, and acceptance criteria — designed so a PdM-role agent could later distribute the work to specialist agents. Document-generation only (no agent execution). Writes local files under docs/prd/<slug>/; never publishes to external trackers. Uses codex-server (the user's ChatGPT subscription) for the debate loop. Use when the user wants a PRD reviewed/approved by Codex, a "PRD council", a Technical PRD for task distribution, or a task breakdown from a PRD. Trigger patterns (match any variation): prd-council / prd council / PRD council / PRD + {Codex, GPT, ChatGPT} + {議論, 相互承認, レビュー, 承認, debate, review, approve} / CodexとPRDを議論 / CodexとPRDを相互承認 / PRDをCodexと詰める / technical prd / t
| name | zoom-out |
| description | Tell the agent to zoom out and give broader context or a higher-level perspective. Use when you're unfamiliar with a section of code or need to understand how it fits into the bigger picture. |
| disable-model-invocation | true |
I don't know this area of code well. Go up a layer of abstraction. Give me a map of all the relevant modules and callers, using the project's domain glossary vocabulary.
