「ooh」の検索結果

Configures privacy settings for enterprise HR systems including SAP SuccessFactors, Workday, and BambooHR. Covers role-based access controls, automated data retention enforcement, cross-border transfer configurations, audit logging, data subject rights facilitation, and field-level security. Keywords: HR system, SAP SuccessFactors, Workday, BambooHR, RBAC, retention automation, cross-border transfer, privacy configuration.

日本語の概要は準備中です。原文の説明を表示しています。

BambooHR integration. Manage hris data, records, and workflows. Use when the user wants to interact with BambooHR data.

日本語の概要は準備中です。原文の説明を表示しています。

Automate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.

日本語の概要は準備中です。原文の説明を表示しています。

Automate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.

日本語の概要は準備中です。原文の説明を表示しています。

Automate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.

日本語の概要は準備中です。原文の説明を表示しています。

Automate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.

日本語の概要は準備中です。原文の説明を表示しています。

Automate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.

日本語の概要は準備中です。原文の説明を表示しています。

Automate BambooHR tasks via Rube MCP (Composio): employees, time-off, benefits, dependents, employee updates. Always search tools first for current schemas.

日本語の概要は準備中です。原文の説明を表示しています。

Generate one or more standalone Meta image-ad creatives via Nano Banana 2 / Nano Banana Pro (Gemini Flash Image family) through the Arcads external API. Locks the model family, auto-strips platform chrome, enforces edge-safe layouts. Use when the user asks for a "Nano Banana ad", "Gemini image ad", "nano-banana-2 ad creative", "make a static image ad with Gemini", or anchors on a need for photoreal / lifestyle / multi-reference / handheld-object / clay-texture ad creatives (sticky-note flatlays, held-whiteboard signs, lifestyle portraits, ingredient collages, OOH photography). Does NOT trigger on ChatGPT Image cues — use chatgpt-image-ad for those.

日本語の概要は準備中です。原文の説明を表示しています。

When the user wants to plan paid ads strategy, allocate ad budget, or choose paid channels. Also use when the user mentions "paid ads," "paid media," "PPC," "SEM," "web ads," "app ads," "TV ads," "CTV," "OOH," "banner ads," "ad network," "ad alliance," "Taaft ads," "Shopify App Store ads," "Google Ads," "Meta Ads," "PMF testing," "PMF validation," "test product-market fit with ads," "ad spend," "ad budget," "ROAS," "paid acquisition," "Quality Score," or "ad-to-page alignment." For Google Ads execution, use google-ads. For Meta Ads execution, use meta-ads. For landing page alignment, use landing-page-generator.

日本語の概要は準備中です。原文の説明を表示しています。

Always-on operational guardrails, model-independent. Apply on EVERY task and EVERY model (Fable, Opus, Sonnet, Haiku, and any future tier) whether or not fable-mode's staged loop is running. Three rules: (1) verify-before-flag — never raise a warning about a problem that hasn't been confirmed present by a direct check; (2) warning batching — accumulate minor concerns and surface them together at a threshold instead of interrupting piecemeal; (3) find-and-replace safety — word-boundary anchoring on sed/substring edits plus a corruption grep afterward. Trigger whenever a response would flag a problem, raise a warning, or edit files with search-and-replace. These are behavioral contracts with the user, not capability aids — they do not depend on model strength.

日本語の概要は準備中です。原文の説明を表示しています。

Run fable-mode execution discipline on Claude Sonnet. Routes the task to the @fable-worker-sonnet agent, whose definition carries the staged loop with step-3 verification enforced hardest (Sonnet's known gap), optionally followed by a cold @fable-verifier pass. Trigger when the user explicitly asks for thorough/systematic/"deep work" handling on Sonnet ("fable on sonnet", "stage this on sonnet", "deep work mode, sonnet"). The balanced default between Haiku (cheap/fast) and Opus/Fable (peak reasoning). Do NOT use for ordinary single-pass tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Run fable-mode execution discipline on Claude Fable 5.1 — the top of the escalation ladder and the strongest staged run available. Routes the task to the @fable-orchestrator agent with its model overridden to Fable (`model: "fable"`), which stages the work, delegates artifact production to @fable-worker-sonnet / @fable-worker-haiku, and cold-checks deliverables with @fable-verifier. Trigger when the user explicitly asks for thorough/systematic/"deep work" handling on the strongest model ("fable on fable", "stage this on fable", "deep work mode, fable", "run this on 5.1"), or when a fable-opus run reports the task exceeds Opus's ceiling. Benchmarked 2026-09-02: zero correctness delta on Fable 5.1 at ~1.1× tokens, ~2× wall — a provenance runner, not an accuracy runner. Do NOT use for ordinary single-pass tasks — prefer fable-opus, fable-sonnet, or fable-haiku when the task doesn't need peak reasoning. Fable is plan-included; bulk work still routes down-tier.

日本語の概要は準備中です。原文の説明を表示しています。

Run fable-mode execution discipline on Claude Opus — one rung below Fable 5.1 on the escalation ladder. Routes the task to the @fable-orchestrator agent (Opus, Write-less), which stages the work, delegates artifact production to @fable-worker-sonnet / @fable-worker-haiku, and cold-checks deliverables with @fable-verifier. Trigger when the user explicitly asks for thorough/systematic/"deep work" handling on Opus ("fable on opus", "stage this on opus", "deep work mode, opus"). Escalate to fable-fable when the orchestrator reports the task exceeds Opus's ceiling. Do NOT use for ordinary single-pass tasks — and prefer fable-sonnet or fable-haiku when the task doesn't need peak reasoning.

日本語の概要は準備中です。原文の説明を表示しています。

Run fable-mode execution discipline on Claude Haiku. Routes the task to the @fable-worker-haiku agent, whose definition carries the staged loop with tightened verification (no bare "unverified" allowed) and an escalate-don't-improvise rule. Trigger when the user explicitly asks for thorough/systematic handling run cheaply or fast ("fable on haiku", "deep work mode but cheap", "stage this on haiku"). For bulk mechanical work. Do NOT use for tasks needing synthesis — benchmark note: at n=1 the skill's effect on Haiku swung both directions (+25 / −17); route quality-critical work to fable-sonnet instead.

日本語の概要は準備中です。原文の説明を表示しています。

Enforces staged execution discipline on large tasks: a written stage plan, delegation to named fable agents where the runtime supports it, a failable verification check at each stage, and a skeptical self-review before delivery. Trigger when the user explicitly asks ("do this thoroughly", "be systematic", "deep work mode") OR when the task objectively spans multiple files, multiple sources, or multiple sessions. Do NOT trigger on ordinary multi-step requests that a direct attempt handles fine. For a run pinned to a specific model, use fable-fable, fable-opus, fable-sonnet, or fable-haiku instead. Always-on guardrails (verify-before-flag, warning batching, sed safety) live in the companion execution-guardrails skill.

日本語の概要は準備中です。原文の説明を表示しています。

Automatic final verification pass on completed deliverables. Runs automatically at the end of every fable-mode run (fable-mode, fable-fable, fable-opus, fable-sonnet, fable-haiku) — those skills invoke it before delivery. Also triggers when the user says "double check this", "double-check", or wants the finished work re-checked without doing it themselves. Uses a panel of model-tier checker agents (Haiku for mechanical checks, Sonnet for logic/requirements, Opus to adjudicate disagreements) to verify the finished output — not to redo the task. Any FAIL gets fixed and re-checked before delivery. Do NOT trigger on work still in progress, and never trigger on its own output (no recursion).

日本語の概要は準備中です。原文の説明を表示しています。

YouTube/マルチプラットフォーム動画からAIでハイライトを抽出し、 バイリンガル字幕付きクリップを自動生成するスキル。 「動画からクリップを切り出して」「ハイライトを抽出」「字幕付きクリップ」等で発動。

YouTube Data API v3 を使用した動画アップロードスキル。 Shorts自動検出、UTMリンク自動挿入、予約投稿に対応。 「YouTube投稿」「動画アップロード」「Shorts投稿」等で発動。

架空の見積明細を固定ルールで確認し、計算根拠と提示額との差を報告する。見積を確認して、という依頼で使用する。

動画スクリプトからAI画像生成で絵コンテ（ストーリーボード）を作成するスキル。 「絵コンテを作って」「ストーリーボード生成」「スクリプトから画像を作成」等で発動。

TikTok/YouTube Shorts向けのバイラル動画スクリプト&ストーリーボード生成スキル。 調査済みのバイラルテクニック（3秒フック、モジュラー構造、ループブリッジ、フラッシュテキスト、 スプリットスクリーン等）をスクリプティングとストーリーボード作成に自動組み込み。 「TikTok動画のスクリプト」「バイラル動画を作りたい」「Short動画の台本」等で発動。

Lightsail上のClaude Code tmuxセッションをSSH経由で管理。 「セッション確認」「PR同期」「tmuxの状態」等のリクエストで発動。

X (Twitter) のリアルタイム検索を行い、トピックに関するツイートを収集・分析する。 検索結果を構造化レポート（Markdown + JSON + TXT）として出力。 「Xで検索して」「Twitterで調べて」「ツイートを分析」等で発動。