'gemini' 검색 결과

Delegate repository analysis and coding tasks to Gemini CLI without an interactive session. The skill reads its structured results, summarizes responses and errors, and supports comparing Gemini’s work with another coding agent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a module without editing files
• Delegating coding tasks to Gemini CLI
• Comparing results from different coding agents

Guides migration of existing AI inference workloads to self-hosted GKE, Google’s managed Kubernetes service. Covers requirements, GPU sizing, deployment configuration, model storage, validation, and traffic cutover using gcloud and kubectl.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating an existing Cloud Run AI service to GKE
• Planning a self-hosted replacement for Gemini API inference
• Sizing GPUs and preparing deployment configuration

Provides Gemini CLI delegation workflows for large-context analysis and complex reasoning using Gemini 3.0 Flash and Gemini 3.0 Pro models, including English prompt formulation, execution flags, and safe result handling. Use when the user explicitly asks to use Gemini for tasks such as broad codebase analysis, fast iterations with Gemini 3 Flash, or deep architectural reasoning with Gemini 3 Pro. Triggers on "use gemini", "delegate to gemini", "run gemini cli", "ask gemini", "use gemini for this task", "use gemini 3 flash", "use gemini 3 pro".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

agy(Google Antigravity CLI)経由で Gemini(既定 gemini-3.8-flash-high)に文章を新しく書かせ、テキストだけを受け取る。ユーザーが「Gemini に書かせて」「agy で文章を作って」「別のモデルで下書きを」「Gemini 版の案も」「タイトル案を Gemini に何本か出させて」と言ったとき、および文章の下書き・メール文面・要約・翻訳・タイトルやキャッチコピーの複数案・FAQ・構造化 JSON を Gemini で生成したいときに使う。既存原稿の推敲・批評は agy-review、画像は agy-image を使う。ユーザーが Gemini や agy を指定していない普段の文章作成は Claude 自身が書くので、このスキルは使わない。

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Guides migration from Google AI Studio’s Gemini API to Gemini Enterprise Agent Platform on Google Cloud, covering billing, access permissions, authentication, and connection settings for SDKs and supported agent tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Moving a Gemini application to Google Cloud
• Using Google Cloud credits for Gemini API calls
• Unifying agent authentication and billing

Generate video clips from text descriptions or reference images through multiple API services. Compare available providers by cost and task needs, choose aspect ratios, track generation progress, and refine existing clips through conversational editing with Gemini Omni.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating clips from written scene descriptions
• Animating a product photo
• Creating vertical videos for social media

Cross-model second opinion from Google Gemini — a different AI reviewing the same changes, with deep Google ecosystem knowledge. Three modes: review (pass/fail gate for Google Ads campaigns, SEO metadata, or code), challenge (adversarial stress-test that tries to break your changes), and consult (open Q&A with Gemini on Google Ads strategy, SEO best practices, or implementation questions). Use when the user says "gemini review", "ask gemini", "gemini challenge", "second opinion from gemini", "consult gemini", "stress test with gemini", "what would gemini say", "cross-model review", or "get another opinion". Voice aliases: "gem", "gemini check". Especially useful for Google Ads changes, SEO metadata updates, campaign structure decisions, keyword strategies, and bid/budget changes — Gemini has native Google ecosystem knowledge that complements Claude's analysis.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Gemini CLI로 질문 답변, 글 생성, 파일 내용 요약을 단일 요청으로 수행합니다. 모델과 JSON 출력 형식을 지정하고 확장 기능 등의 관리 명령도 다룹니다.

• 메모 파일 요약
• 단일 요청으로 글 생성
• JSON 형식으로 답변 받기

Generate a client in your chosen language for live, two-way communication with Gemini Enterprise LiveAPI. Includes token renewal, session recovery, tests, and a demo interface for trying text, audio, video, and transcription.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a client for live conversations with Gemini
• Add token renewal and session recovery
• Test audio and video input through a demo interface

Build Gemini API integrations on Google Cloud’s Agent Platform using the Google Gen AI SDK. Get guidance on authentication, text and media processing, structured JSON responses, function calls, caching, batch processing, and real-time voice or video interactions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding Gemini to enterprise applications
• Processing images, audio, and documents
• Generating JSON in a specified format

Use Gemini to discover research papers through related problems and alternative terminology. Results are organized into a table with publication details, code links, and short summaries, with filters for year, venue, and available code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Discover papers beyond an exact keyword match
• Find research papers with open-source code
• Find papers from selected years or venues

Generate short videos with audio from prompts and reference images, then refine them through conversational edits. The skill covers targeted object, lighting, and text changes, plus timed actions, using Gemini Omni Flash through documented video tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating short videos with sound from written prompts
• Assigning reference images to characters, products, or styles
• Refining objects, lighting, and text through conversation

Ask Claude or Gemini through a locally installed command-line tool for focused questions, reviews, brainstorming, or second opinions. Save the prompt, original response, summary, and next steps in a reusable Markdown file.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get a second opinion on a proposed approach
• Ask Claude or Gemini to review work
• Save brainstorming results for later use

Run Gemini CLI to review code, assess technical plans, and analyze large collections of files. Choose a model and execution settings for the task, then capture findings about security, maintainability, architecture, or technical debt.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing security and quality across multiple files
• Checking architecture plans for missing components
• Analyzing the structure of a large codebase

Generate text and images through a reverse-engineered Gemini Web API, an interface reconstructed from the web service. Use reference images for descriptions or variations, and continue conversations across requests with saved sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating images from written prompts
• Describing the contents of reference images
• Creating variations from an existing image

Have Gemini critically review research developed with Codex. Multiple rounds of discussion examine logical gaps, missing experiments, and narrative weaknesses, then turn the findings into experiment plans, paper outlines, and documented research priorities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Get Gemini feedback on research developed with Codex
• Identify logical gaps and missing experiments
• Develop a paper outline through review discussions

Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format

Call Gemini and OpenMaaS models such as Llama, DeepSeek, and Qwen through Google Cloud Agent Platform. Prepare authentication and SDK code, run prompts, configure connection endpoints, and troubleshoot common request errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Send a test prompt to Gemini
• Call Llama or DeepSeek with the OpenAI SDK
• Write code to call an existing custom endpoint

Analyze Google Takeout exports of Gemini conversation history. Use when the user mentions Gemini takeout, Gemini export, Gemini history, Gemini conversation analysis, Google Takeout zip analysis, or drags a takeout zip into the project. Also use when the user asks to "analyze my Gemini data", "what did I talk to Gemini about", or wants to extract insights from Gemini chat logs.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate visual assets through Google Gemini's image generation API, including interface mockups, icons, and illustrations. The supplied entry helps agents discover the skill; running the full workflow requires installing the upstream bundle.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating visual mockups of an interface
• Generating icons for a design
• Creating illustrations for visual materials

Work with BigQuery to create datasets and tables, run SQL queries, ingest data, and manage processing jobs. The skill also covers connections to BigQuery ML and Gemini for machine learning and AI analysis.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating datasets and tables
• Analyzing data with SQL queries
• Ingesting data and managing processing jobs

Operate Gemini Notebook through notebooklm-py commands or its Python API. Set up authentication, organize notebooks and sources, ask questions grounded in those sources, and generate or download outputs such as audio, reports, quizzes, and slide decks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Organizing research sources in notebooks
• Asking questions based on collected sources
• Generating audio or reports from source material

Create model architecture diagrams and method illustrations for academic papers using Gemini. Codex plans the figure and reviews generated images for correct connections, content, layout, and readability, guiding repeated revisions toward a clearer final figure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Illustrate a model architecture for a paper
• Show a method's processing steps and data flow
• Create a conceptual comparison diagram

Improve research through repeated Gemini reviews, code changes, experiments, and analysis. The workflow records full feedback and actions, then stops when both the score and readiness criteria are met or the round limit is reached.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improving research through repeated external reviews
• Implementing and checking fixes for research weaknesses
• Keeping a complete record of reviews and experiments