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公式
OpenAI の公式スキル
OpenAI が公開する公式エージェントスキル。すべて SKILL.md 全文付きで、ワンクリックで導入できます。
Scaffold ChatGPT Apps SDK projects with MCP servers and widget UIs using a docs-first workflow.
Generate a durable CLI for Codex from API docs, OpenAPI specs, SDKs, curl examples, or existing scripts.
Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.
Turn a fuzzy intention into a measurable, verifiable goal before starting work.
figma
公式Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, d
Connect Figma components to their code implementations through Code Connect mapping.
Generate project-specific Figma-to-code design system rules for Claude Code, Codex CLI, or Cursor.
Create a new blank Figma file. Use when the user wants to create a new Figma design or FigJam file, or when you need a new file before calling use_figma. Handles plan resolution via whoami if needed.
Build or update full Figma screens by composing instances from a published design system, not hardcoded primitives.
Build a Figma design system that mirrors your codebase through a structured five-phase workflow with mandatory checkpoints.
Translates Figma designs into production code matching the original pixel-for-pixel.
JavaScript rules and gotchas for safely scripting Figma files via the use_figma MCP.
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after exp
Generate Codex-compatible animated pets with validated atlases, QA contact sheets, and pet.json packaging.
imagegen
公式Generate or edit raster images with structured prompts for new assets, edits, and batch variants.
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` t
linear
公式Manage issues, projects & team workflows in Linear. Use when the user wants to read, create or updates tickets in Linear.
Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.
Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys.
Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.
Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.
Research across Notion and synthesize into structured documentation; use when gathering info from multiple Notion sources to produce briefs, comparisons, or reports with citations.
Turn Notion specs into implementation plans, tasks, and progress tracking; use when implementing PRDs/feature specs and creating Notion plans + tasks from them.
Get cited, current answers about OpenAI products, APIs, Codex, and model selection from official developer docs.
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplum
Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrappe
Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging.
Scaffold Codex plugin directories with required manifest, optional folders, and marketplace registry entries.
Deploy applications to Render by analyzing codebases, generating render.yaml Blueprints, and providing Dashboard deeplinks. Use when the user wants to deploy, host, publish, or set up their applicatio
Use when the user explicitly asks for a desktop or system screenshot (full screen, specific app or window, or a pixel region), or when tool-specific capture capabilities are unavailable and an OS-leve
Security reviews, vulnerability reports, and secure-by-default code for Python, JavaScript/TypeScript, and Go projects.
Map people-to-file security ownership from Git history, quantify bus factor, and export graph-ready results.
Produce a repository-grounded AppSec threat model with abuse paths, ranked risks, and concrete mitigations.
sentry
公式Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry CLI; perform read-only queries using the `sentry` command
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflo
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (
speech
公式Turn text into spoken audio via OpenAI TTS, single clips or batched prompts, with a bundled CLI.
Transcribe audio files to text with optional diarization and known-speaker hints. Use when a user asks to transcribe speech from audio/video, extract text from recordings, or label speakers in intervi
Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
Bootstrap, build, verify, and troubleshoot C# WinUI 3 apps with grounded Windows App SDK guidance.
yeet
公式Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
Ottermind スキルについて
これらのスキルは OpenAI が公開・保守しています。公式スキルは元となる製品や API の変更に追随するため、更新が続くサービスと連携する場合に重要です。
スキルは Ottermind のエージェントができる仕事全般をカバーします。編集可能な PowerPoint 資料の作成、商品画像やブランドビジュアルの生成、接続したマシン上でのコードの記述と実行、台本や静止画からの動画制作、表計算データの整形と分析などです。汎用モデルを、あなた固有のその仕事を毎回同じ品質でこなす道具に変えるのがスキルの役割です。
スキルは短い frontmatter を持つただの Markdown ファイルです。実行前に何をするかを正確に読めますし、自分の流儀に合わせて書き換えることも、同僚と共有することもできます。望んだ結果が出たスキルは、エージェントに紐づけたり自動実行に登録したりできるので、同じ作業のために誰かがプロンプトを書き直す必要はなくなります。
- Ottermind のスキルとは何ですか?
- Markdown で書かれた再利用可能な指示パッケージです。ある種類のタスクに必要な文脈・手順・制約をエージェントに与えるので、その日のプロンプトの出来に左右されず結果が安定します。
- スキルはどうやって導入して使いますか?
- 任意のスキルの詳細ページを開き、文書を全文読んだうえでワークスペースにインストールします。以降はタスクが合致すればエージェントが自動的に使いますし、名前を指定して呼び出すこともできます。
- 自分でスキルを作れますか?
- 作れます。スキルは Markdown ファイルで、frontmatter に名前と「いつ使うか」を書くだけです。エージェントに何度も説明し直している手順があるなら、一度スキルとして書き出すのが再現可能にする一番の近道です。
- スキルに追加料金はかかりますか?
- ライブラリからスキルを閲覧・インストールすること自体に料金はかかりません。実行時は他のエージェントタスクと同じようにクレジットを消費し、選んだモデルと作業量によって変わります。