「rev」の検索結果

Zero-config animations for React, Vue, Solid, Svelte, Preact with @formkit/auto-animate (3.28kb). Prevents 15 documented errors including React 19 StrictMode bugs, SSR imports, conditional parents, viewport issues, drag & drop conflicts, and CSS transform bugs. Use when: animating lists/accordions/toasts, troubleshooting SSR animation errors, React 19 StrictMode issues, or need accessible drop-in transitions with auto prefers-reduced-motion.

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。

AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.

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。

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

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。

Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases. Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors.

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。

Complete email marketing system — deliverability, list building, sequences, cold outreach, automation, analytics, and revenue optimization. Zero dependencies.

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。

Enterprise-grade customer support system: ticket triage, response templates, escalation workflows, CSAT tracking, knowledge base management, and churn prevention. Turns your AI agent into a support team lead.

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。

Scan AI agent skills for security vulnerabilities — detects code injection, prompt injection, credential exfiltration, supply chain attacks, and 69+ threat patterns. Use when installing new skills, auditing existing ones, reviewing untrusted code, or validating packages before publishing.

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。

Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.

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。

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

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。

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".

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。

Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search 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。

Securely store, search, and use secrets (API keys, tokens, passwords, SSH keys) with hal-vault, an SSH-key encrypted local secret store. Use when the user shares a credential that should be saved, asks what secrets are stored or where a key is, or when a command/workflow needs a secret injected. Core discipline - never print raw secret values into chat, logs, or files; reference secrets only by their masked form, and use --reveal only to feed another process, never into a command argument (where it lands in the machine's process table) or into text you write down.

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。

Requires OFOX_API_KEY — create one at https://app.ofox.ai. Generate a handheld, phone-shot UGC clip — imperfect framing, one practical light, vertical, no cinematic grading, no beauty filter. It inverts the polish every other video skill here defaults to — a UGC clip that looks like an ad has failed. Use when a user wants a video that reads as filmed by a real customer rather than by an agency, e.g. "a real-looking phone unboxing of this product", "a creator first-impression clip for TikTok", "an honest review video, nothing slick", or "make it look like a customer shot it". Do not use for a polished brand ad (see seedance-ad-creative), plain catalog footage (see seedance-product-video), a dialogue scene between people (see seedance-short-drama), or a set of cheap vertical drafts to choose from (see shorts-reels).

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。

Weekly pipeline health analysis with velocity metrics, stage distribution, forecasting, and actionable recommendations

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。

Finds upsell and cross-sell opportunities in existing client accounts. Detects new product launches, traffic growth, hiring signals, funding events, and underutilized services. Maps opportunities to agency service offerings.

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。

Weekly pipeline metrics, forecast, and trend dashboard in structured markdown

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。

Builds Quarterly Business Review decks for active clients. Pulls metrics, generates structured QBR with wins, challenges, roadmap, and recommendations. Uses crm-writer to read client 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。

Enriches inbound leads with firmographic and technographic data. Takes minimal lead info and enriches via WebSearch, Apollo, or ZoomInfo to produce a complete lead record with company size, revenue, tech stack, social profiles, and decision-maker details.

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。

Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Deduplicates against CRM (Google Sheets). Supports Apollo API and MCP tools.

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。

pytest + httpx + TestClient patterns for the FastAPI backend. Dependency overrides for auth, FakeSupabase mocking, HTTPException assertions. Use when writing or reviewing backend/tests/test_*.py.

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。

Vitest + React Testing Library patterns for the Next.js 15 frontend. Co-located component tests, mocking lib/api.ts, testing Server Components, CartProvider harness. Use when writing or reviewing *.test.ts(x) files in frontend/.

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。

Preview a Remotion video

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。

Preview a Remotion video

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。

Preview a Remotion video

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。