メニュー
Write or update a HANDOFF.md so a fresh agent can continue this work. Use when the user says "handoff", "compact this", "context is full", or "/clear and continue".
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
Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications. Triggers: chatbot, chat app, agent dashboard, AI application, Next.js AI, useChat, streamText, ai-elements, build AI app, create chatbot
Build AI chat interfaces with pre-built shadcn-style components (Message, Conversation, PromptInput, Reasoning, Sources, Tool, Artifact, CodeBlock, Branch, Suggestions, Task, Image, ChainOfThought, InlineCitation, WebPreview, and more). Use when adding AI chat UI to a Next.js + AI SDK app, installing AI Elements components via the CLI (`bun x ai-elements@latest add <name>` or `npx shadcn@latest add @ai-elements/<name>`), composing message displays with markdown, building prompt inputs with attachments, or rendering streaming reasoning and tool output.
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). Use when implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, managing 'use cache: private' for compliance scenarios, pass-through/interleaving patterns, GET Route Handler caching, debugging cache issues, and reviewing Cache Component implementations.
Next.js App Router best practices covering file conventions, RSC boundaries, async APIs, data patterns, hydration errors, metadata, route handlers, image/font optimization, and bundling. Use when writing or reviewing Next.js code to prevent hydration errors, RSC violations, data waterfalls, and configuration mistakes.
Advanced patterns for production Next.js web chatbots built with AI SDK 6 + ai-elements. Covers tool calling with human-in-the-loop (HITL) approval, PostgreSQL session persistence, GDPR consent gating, SQL-first search, per-tool UI rendering, popup widget embedding, message feedback, follow-up suggestions, scope enforcement, and evals. Use when building a customer support bot, conversational interface, or any web chatbot needing tool approval, database sessions, or custom tool output components. Not a scaffolding tool — use `/ai-app` to scaffold from scratch, `/ai-sdk-6` for general SDK questions, `/ai-elements` for chat UI components, `/vercel:chat-sdk` for multi-platform (Slack/Teams/Discord) bots.
OpenAI Agents SDK (Python) development. Use when building AI agents, multi-agent handoffs, function tools, guardrails, sessions, streaming, or tracing with the `openai-agents` / `agents` Python package — including Azure OpenAI via LiteLLM. Triggers on imports from `agents`, uses of `Runner.run_sync`/`Runner.run_streamed`, `@function_tool`, `AgentOutputSchema`, `SQLiteSession`, or questions about the openai-agents-python SDK.
| name | handoff |
| description | Write or update a HANDOFF.md so a fresh agent can continue this work. Use when the user says "handoff", "compact this", "context is full", or "/clear and continue". |
| argument-hint | What will the next session focus on? |
Write or update a handoff document so the next agent with fresh context can continue.
HANDOFF.md exists in the project root, read it first.HANDOFF.md in the project root with: