「cloud」の検索結果

Use ONLY when calling the `browser_execute` tool or driving a real browser via the Chrome DevTools Protocol. Required reading before the first `browser_execute` call in a session. Covers the three connection methods (local Chrome with remote debugging, isolated debug-port profile, Browser Use cloud), the in-process `session` / `console` snippet model, attaching to a page target, common CDP commands, the per-project `.bcode/agent-workspace/` for reusable scripts, and screenshot auto-attachment.

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。

Writes, improves, or rewrites Seedance 2.0 prompts that TRANSFORM footage the user already has (video-to-video), rather than building a scene from scratch. Use whenever a real clip is the starting point and they want to: add a VFX element (set a head or hair on fire, transform a hand, make a limb invisible), swap the environment around a preserved subject (desert, clouds, lava, a neon city), drop a giant photoreal creature behind or onto a subject/landmark, relight or regrade so subject and added elements read as one shot, sync a crash-zoom or push-in to a spoken line or timecode, or generate a matching transformed start frame to animate from. Also use when they paste such a prompt and ask to change its lighting, timing, creature, or runtime, or say 'make a Seedance prompt for this video' with a clip attached. This is the video-to-video specialization; for a brand-new scene from image references with no source clip to preserve, higgsfield-seedance applies 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。

LlamaIndex 官方用户文档离线知识库，用于检索并回答 LlamaIndex Python 框架的安装、RAG、数据加载、索引、检索与查询、Agent、Workflow、模型、Embedding、向量库、评估、可观测性、部署、LlamaCloud 和 LlamaParse 等问题，也可生成有文档依据的示例代码与排障建议。当用户提到 LlamaIndex、llama-index、LlamaParse、VectorStoreIndex、QueryEngine、Retriever、AgentWorkflow 或相关集成用法时使用；纯源码贡献、内部实现审查或与 LlamaIndex 无关的通用 AI 问题不使用。

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 the full QuarkPanTool → mswnlz GitHub content publishing pipeline. Supports Quark / Baidu / Aliyun drives with multi-account rotation. Use when the user provides share URLs and wants: (1) auto-detect drive type and route to correct handler, (2) save resources with automatic account rotation, (3) clean junk files from shared folders, (4) copy promotional files into each folder, (5) generate permanent encrypted share links, (6) auto-classify items into local content dirs (book/movies/AIknowledge/tools/etc.), (7) append/update YYYYMM.md and README index, (8) local git commit, (9) send unified Telegram notifications to multiple groups, (10) rebuild site and deploy to Cloudflare 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。

Your software-engineering brain trust. Named personas across 11 cells covering cloud architecture, reliability/SRE/observability, data and storage, security, FinOps, languages and runtimes, systems programming, web and 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。

Use when adding server-side API routes to an Expo Router app (+api.ts files) for secrets, database access, third-party proxies, webhooks, CORS, or EAS Hosting deploys. Covers file routing, env vars, and Cloudflare Workers limits.

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。

Speech-to-text transcription via OpenAI Whisper. Supports two modes — Local CLI (no API key, runs on-device) and Cloud API (fast, scalable, requires OPENAI_API_KEY). Use when the user needs to transcribe audio files, translate speech, or convert audio to text.

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 ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.

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 the agent must open a URL, fill a form, click through a flow, screenshot a page, or extract data from a live page. Covers two providers (agent-browser local CLI, agentic-browser cloud) and the shared @e ref workflow.

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 setting up Firebase Cloud Messaging, managing permissions and tokens, handling background/foreground notification taps, or dispatching messages server-side (HTTP v1).

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 calling callable functions (httpsCallable), passing data to server-side logic, handling function errors/timeouts, configuring regions, or testing with the Emulator Suite.

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 setting up Firestore, designing schemas, doing CRUD, creating listeners, paginating queries, configuring indexes, enabling offline persistence, or writing security rules.

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。

Safely inspect and modify local Avibe configuration, routing, runtime settings, watches, scheduled tasks, Avibe Cloud remote access, and operational state. Also use it to report an Avibe bug, send product feedback, or file a feature request from the current conversation.

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。

Standards for Feign clients and asynchronous messaging with Spring Cloud Stream. Use when implementing Feign HTTP clients or async event messaging in Spring Boot microservices.

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。

Integrate Android app notifications using Firebase Cloud Messaging and NotificationCompat. Use when setting up FCM, notification channels, or client-side notification taps; defer Flutter, server sends, WorkManager orchestration, and generic Intent handling.

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。

Select and verify the current region-specific serving container URI for a SageMaker model deployment. Use after the deployment pathway is chosen and before endpoint code; never infer an image URI from memory.

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。

Train or fine-tune language models with TRL or Unsloth on Hugging Face Jobs, including SFT, DPO, GRPO, reward models, and GGUF conversion. Use for cloud LLM training; use huggingface-vision-trainer for vision 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。

Create an isolated Python environment with a compatible Python version and boto3 for SageMaker or AWS automation. Use before executing AWS Python code; do not use for general Python environment setup.

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。

Plan and coordinate a model deployment to Amazon SageMaker, including serving stack and real-time versus async inference. Use as the entry point for SageMaker hosting requests, before image, IAM, and endpoint implementation skills.

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。

Verify or select a SageMaker execution role before creating models, endpoints, or training jobs. Use when a role ARN is missing or IAM access fails; inspect existing roles before proposing role creation.

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。

HashiCorp Vault, cloud secret managers, rotation strategies, and zero-trust secret access

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。

Hierarchical memory organization for multi-session context retention. Wings (projects) > Rooms (domains) > Drawers (decisions). Semantic search across all memories with zero cloud dependency.

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。

Cloud Run deployment, BigQuery optimization, Pub/Sub patterns, IAM best practices

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。

Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns

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。