「assistant」の検索結果

Run Telegram as a scoped auto-reply assistant grounded in the owner's vault and written in their voice: whitelisted low-stakes chats are answered autonomously, while anything financial, committing, sensitive or from an unknown contact becomes a draft for the owner. Triggers: "handle my telegram", "reply for me in <chat>", or a new message in a whitelisted chat.

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。

Agentic design-to-build pipeline that turns a Figma design into a built WordPress site using the Figma MCP server (read side) and the Elementor MCP server (write side) attached as MCP Apps on an NV oOS assistant. Covers the 7-stage pipeline (Scope → Read → Plan → Tokenize → Build → Verify → Handoff), the normative stage rules (get_design_context first, tokenize before build, drafts only, never publish, Figma read-only), the build-manifest contract (schema + example in reference/build-manifest.md), the design-file contract (frame/section/variable naming in reference/design-file-contract.md), assistant wiring (figma + elementor MCP Apps, OAuth + application passwords, host allowlist), safety rules, and troubleshooting. Use when asked to build or create a site, page, or landing page from a Figma design, to wire Figma MCP or Elementor MCP for design-to-build work, to approve or produce a build manifest, or to debug a failed design-to-build run.

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 operational guide for the NV oOS (Open Operator System) WordPress plugin in Docker/WSL2 — setup, assistant creation, credential tokens, MCP tool calling, API key auto-detection, env var bridging, common fixes, and IGCSE study configuration. Use when setting up the plugin for the first time, creating assistants programmatically, generating MCP bridge tokens, troubleshooting Docker path issues, bridging API keys, or calling tools via JSON-RPC over HTTP.

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 or audit an `/llms.txt` file at the site root that makes the site legible to LLMs and AI answer engines at inference time, following the llms.txt proposal (Jeremy Howard, 2024). Use this skill whenever the user asks to "build llms.txt", "create llms.txt", "generate llms.txt", "audit llms.txt", "make my site LLM-friendly", "expose the site to AI assistants", "let ChatGPT / Claude / Perplexity cite my site", "add an AI assistants index", or asks about `.md` companion pages for LLM consumption. Output is a valid `llms.txt` file (or an audit) plus optional `.md` companion page generation for top pages.

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 for explicit undergraduate data-science teaching, assignment guidance, concept clarification, method selection, or output interpretation. Do not activate merely because a task contains data or Python code.

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。

Japanese document co-authoring and editing assistant with proofreading checklist, keigo adjustment, essay structure patterns (起承転結, PREP), and revision tracking. Triggers on requests for 文章推敲, 共同執筆, 文章校正, 敬語調整, 文体統一, レビュー依頼, ドキュメント編集.

Windows アプリ開発 (Win32 / WPF / WinForms 相互運用) の相互運用・近代化リファレンス。 Win32 API, CreateWindowExW, WNDPROC, メッセージループ, COM (IUnknown, CoCreateInstance, ComPtr), CsWin32, windows-rs, C++/WinRT (winrt::com_ptr, IAsyncOperation, IDL, ABI 相互運用), C#/WinRT (cswinrt, ComWrappers, AOT/trimming, WindowNative), XAML Islands (DesktopWindowXamlSource, DesktopChildSiteBridge, WindowsXamlManager), WPF/WinForms 相互運用 (HwndHost, HwndSource, WindowsFormsHost, ElementHost), UWP から Windows App SDK / WinUI 3 への 移行 (namespace mapping, AppWindow, DispatcherQueue, .NET Upgrade Assistant)。

NVIDIA Sync デスクトップアプリのリファレンス。DGX Spark, DGX Station, 汎用 SSH Linux ホストへのリモート接続管理。mDNS 自動検出, 手動 IP 登録, SSH config インポート, Tailscale 連携, 自動ネットワーク切替。 Cluster Assistant, ConnectX-7 クラスタトポロジ, netplan 設定検証。 VS Code, Cursor, VS Code Insiders, NVIDIA AI Workbench 起動, カスタムアプリ登録, ポートフォワード, SSH トンネル。

OpenAI API (developers.openai.com) の Responses API リファレンス。 text generation, embeddings, structured outputs, streaming, function calling, programmatic tool calling, conversation state, prompt caching, reasoning models, background mode, compaction, multi-agent。 webhooks, error codes, rate limits, Realtime API server controls。 公式 SDK (Python / JavaScript(JS) / .NET / Java / Go / Ruby), openai CLI。 Chat Completions / Assistants からの移行, deprecations。

Interactive Flutter Widget implementation assistant that guides you through widget implementation decisions by asking structured questions about state management, widget type (screen/component), and state sharing. Use this skill when you need help determining the appropriate Flutter widget architecture for your implementation.

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。

Sequential multi-step setup flow (assistant/wizard) with AdwNavigationView, Back/Forward navigation, progress indication. Use when building onboarding or setup flows with ordered steps.

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。

Describes the agent skills shipped with NemoClaw and how to access them by cloning the repository. Use when users ask about AI agent support, coding assistant integration, or the .agents/skills/ directory. Trigger keywords - nemoclaw agent skills, ai coding assistant, cursor, claude code, copilot.

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 AI assistant application with NLU, dialog management, and integrations

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。

Control Home Assistant - smart plugs, lights, scenes, automations.

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。

Control Home Assistant smart home devices, run automations, and receive webhook events. Use when controlling lights, switches, climate, scenes, scripts, or any HA entity. Supports bidirectional communication via REST API (outbound) and webhooks (inbound triggers from HA automations).

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。

Research AI coding assistant products, audiences, user stories, social proof, hacks, and unmet needs for apps like Cursor, Claude Code, Codex, Warp Code, Devin, Windsurf, GitHub Copilot, Cline, Aider, and homegrown agent stacks. Use when designing or positioning agentic developer tools, Port Daddy Agent Harbor, swarm consoles, background coding agents, or competitive/product research for AI software engineering. NOT for implementing the coding agent runtime, generic market research, or UX mockups without developer workflow evidence.

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 production-grade AI agents from scratch using patterns inspired by production-grade agentic systems like Claude Code. Covers two audiences — (1) workflow builders who need planner+executor pipelines, human-in-the-loop checkpoints, and multi-agent orchestration, and (2) application embedders who need HTTP/SSE APIs, multi-user session management, and React frontend integration. Use when asked to build an AI agent, create a coding assistant, embed an agent in an app, build an API agent, clone Claude Code, build a CLI agent, design an agent architecture, scaffold an agentic system, or automate a multi-step workflow. Triggers on keywords like agent builder, agent blueprint, coding assistant, CLI agent, agentic tool, claude code clone, agent scaffold, agent architecture, workflow automation, multi-agent, planner executor, SSE streaming, agent API.

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。

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

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。

Review Home Assistant migration as untrusted versioned input and no-clobber output.

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。

Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.

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。

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

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。

Explain how this assistant works and help users understand computer access, confirmation or login blocks, and Slack errors. Use for capability questions and confusing product limitations; verify the actual state and give a supported next step. Also use for questions about their avatar or profile picture (their icon or the picture at the top) or the color of messages they send (message color, chat bubble color, or text bubble color).

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。

For use only in threads for this proactive personal assistant. Investigate software issues; inspect, write, review, or test code; work on a repository or local engineering file; or create, fix, or monitor a pull request or CI run. Use for actual engineering or product QA work, not a general programming explanation.

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。

Any explicit Muse Code setting question or change (model, reasoning effort, /settings) requires a silent read_skill call for bundled:manage-settings as FIRST ACTION—no assistant text or other tool first. Never use for repository, app, eval, or other non-Muse 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。