'gemini' 검색 결과

Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.

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Process images, video, audio, PDFs with Gemini API. Generate images (Nano Banana 2), videos (Veo 3), speech (MiniMax TTS), music (MiniMax). Convert documents to Markdown. Multi-provider fallback (Gemini → MiniMax → OpenRouter). Activate when task references media files, asks to analyze/describe/transcribe/extract/generate/convert, or involves non-text binary files.

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Use quando o usuário solicitar a ativação do Gemini CLI para revisão de código, revisão de plano ou processamento de contexto amplo (>200k). Ideal para análise abrangente exigindo janelas de contexto grandes. Usa Gemini 3 Pro por padrão para raciocínio e codificação de última geração.

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Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices.

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Google Gemini API (Gemini Developer API, ai.google.dev) の Interactions API (v1 / v1beta), generateContent, Google GenAI SDK (google-genai / @google/genai), Live API, ephemeral tokens, Managed Agents, Deep Research, function calling, Google Search grounding, File Search, Files API, thought signatures, Nano Banana, Veo, Lyria, Batch API, Flex / Priority inference, OpenAI 互換。

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Check the latest Claude (Anthropic), OpenAI Codex, and Google Gemini model releases from official primary sources, update model selections in this dotfiles repo, and update the Claude Code, Codex, and Gemini CLIs through their configured managers. Every run checks both the model settings and CLI for the selected provider, then scans the invoking repository for hardcoded model IDs. Use when the user asks to "モデル更新", "モデルを最新に", "最新モデル確認", "Codex/Claude Code/Gemini CLI本体の更新", "model bump", "update models", or "update agent CLIs". Do NOT use for one-off model selection in a single conversation, general model questions, or unrelated package updates.

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Install Port Daddy's bounded interactive coordination hooks ("tentacles", from the Giant Squid Harness) into the INTERACTIVE sessions of agentic coding CLIs (Claude Code, Codex, Gemini, Antigravity/agy) by auto-detecting which CLIs are installed and writing PER-PROJECT hook config behind a runtime gate, so coordination fires only inside a Port Daddy project while the daemon is running — never machine- wide-always-on. Use when the user says "install port daddy hooks", "agent CLI hooks", "interactive session hooks", "make coordination hooks fire in interactive sessions", "codex/gemini/agy hooks", or "auto-detect agent CLIs". NOT for generic software/package installation; NOT for installing the Port Daddy daemon or `pd` CLI itself (delegate to the `port-daddy` skill / `pd setup`); NOT for MCP server setup (delegate to `pd mcp install`); NOT for authoring new skills (delegate to `skill-architect` / `skill-creator`); NOT for editing the tentacle scripts themselves (owned by the Giant Squid Harness program; this installer layer is pd-adr-090).

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Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.

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반복하는 LLM API 요청에서 공통 지시와 자료를 캐시로 재사용하기 쉽게 배치합니다. 캐시 사용량, 읽기·쓰기·저장 비용과 응답 시간을 확인해 구성을 검토합니다.

• 반복 API 요청의 공통 지시를 재배치합니다
• 캐시 읽기·쓰기·저장 비용을 계산합니다
• 캐시 사용률과 응답 시간을 측정합니다

장면 내용, 화풍, 카메라 움직임 등의 요구를 정리해 동영상을 생성합니다. 영어 JSON 프롬프트와 Python 스크립트를 사용하며 참조 이미지도 활용합니다.

• 장면 아이디어를 동영상으로 제작
• 참조 이미지를 활용한 동영상 생성
• 화풍과 카메라 움직임 지정

인물·풍경·상품의 화풍, 구도, 조명 등을 정리한 지시로 이미지를 생성합니다. 여러 참고 이미지로 외관과 구도를 유도하고 가로세로 비율도 지정합니다.

• 의상·시대·외모를 지정한 인물 이미지 제작
• 분위기·날씨·조명을 지정한 풍경 제작
• 소재와 촬영 각도를 지정한 상품 이미지 제작

Generate and edit images and videos through Atlas Cloud using one API key across multiple model families. Choose supported models for each task, download the results, and retain details about the model, inputs, and estimated cost.

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• Generate images and videos through one service
• Edit product images using reference materials
• Create videos from images, video, or audio references

Manage the credentials Arize uses to call LLM providers such as OpenAI and Anthropic. Create, inspect, update, or delete connections, configure allowed models and authentication methods, and retrieve connection IDs for use in evaluations.

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• Connect an LLM provider to Arize
• Review existing connections and allowed models
• Rotate stored provider API keys

Guides Python agent development with PydanticAI, covering tool calls and structured outputs checked against defined data types. Explains service injection, provider switching, streaming responses, and tests that run without calling a real language model.

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• Building agents that return validated structured data
• Connecting customer support agents to order data
• Testing agent logic without real model calls

Transcribe audio files through 9Router using models from providers such as OpenAI, Groq, and Deepgram. Receive plain text, structured results with timestamps, or SRT and VTT subtitles, depending on the selected model’s support.

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• Transcribing recorded meetings or interviews
• Creating SRT or VTT subtitles from audio
• Getting transcriptions with timestamps

Build AI applications in Python with Genkit, including conversational agents, generation workflows, streaming responses, and tool use. The skill also guides setup and debugging through traces, recorded details of model inputs, outputs, and actions.

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• Build a chatbot that keeps conversation history
• Implement streaming responses and tool calls
• Investigate Genkit import and API errors

Measure how often a brand appears in sampled answers across five AI platforms using SE Ranking. Compare platform-level percentages with sample-size confidence notes, and also inspect organic search rankings, backlinks, and competitor keyword gaps.

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• Compare brand visibility across five AI platforms
• Check the top 100 organic results for a keyword
• Review a website's backlink profile

Turns research reports and experimental results into a paper through outline planning, figure creation, LaTeX drafting, PDF compilation, and review. Produces editable source files and a compiled PDF, with checks connecting claims to evidence.

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• Turning a research report into a paper draft
• Creating paper figures and tables from experiment data
• Preparing a manuscript for a target venue

Explore a broad research direction through literature searches, idea generation, novelty checks, small pilot experiments, and critical review. Receive ranked ideas plus a refined proposal and experiment plan for the leading candidate, with evidence recorded across stages.

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• Finding concrete ideas within a broad research topic
• Exploring improvements to a reference paper
• Comparing promising ideas through small pilot experiments

Create game images, transparent PNGs, textured 3D models, animated humanoids, sound effects, and voice lines using local GPU tools. Paid API options extend production to assets such as music and animated sprites.

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• Creating transparent character and item images
• Building textured 3D characters and props
• Adding character movement and lip-synced speech

Analyze actual GA4 visits from AI services such as ChatGPT and Perplexity. Compare traffic trends, landing pages, and conversions, then identify page patterns and specific content changes that may improve visibility in AI search.

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• Measuring website visits from AI services
• Comparing AI traffic trends and conversions
• Finding common patterns in pages receiving AI traffic

Evaluate AI agents by preparing test cases, scoring responses and tool use, investigating failures, and comparing results after changes. Supports built-in checks and custom scoring rules, including evaluations performed by a language model.

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• Create test cases for an AI agent
• Check response quality and tool use
• Investigate failed evaluation cases

Build a question set to check whether AI assistants mention your brand. Analyze the answers you collect, compare visibility against competitors, trace cited sources, and receive a prioritized list of opportunities to address gaps.

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• Establishing a baseline for brand visibility in AI answers
• Comparing brand mentions and citations with competitors
• Tracking visibility changes each quarter

Generate images, reference-based edits, and video clips from stills through configured APIs or local Codex and Grok tools. Check available generation options, configure keys, track estimated costs, and resume interrupted jobs.

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• Generate an image or edit using reference images
• Animate a still image
• Check available tools and configure API keys