'openai api' 검색 결과

Generate, remix, and manage short video clips through OpenAI's Sora API. Use it to create cinematic shots, produce b-roll—supplementary footage for an edit—or try different versions of a video concept.

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• Creating cinematic shots
• Producing supplementary footage for an edit
• Trying different versions of a video concept

Connect AI agents to OmniRoute for text and image generation, speech synthesis, transcription, and web search. Use OpenAI-compatible APIs and create embeddings, numerical representations of text, through documented requests.

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• Add text generation to an AI agent
• Generate or edit images from instructions
• Turn text into speech or transcribe audio

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

Improve research through up to four rounds of external language model review, fixes, and reassessment. Use an OpenAI-compatible API to identify weaknesses, prioritize changes, and keep a cumulative record of reviewer responses, actions, and experiment results.

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• Identify weaknesses before submitting research
• Revise research using an external model's feedback
• Track review scores, changes, and experiment results

Find and run local AI models with llama.cpp. Choose GGUF model files and quantization levels that fit available memory, launch a command line session or local server, and test an OpenAI-compatible API on your computer.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find models to run on a local computer
• Choose quantization for available memory
• Launch and test a local OpenAI-compatible API

Implement and debug data fetching in Expo and React Native apps. Get guidance on API requests, caching, error handling, authentication tokens, offline behavior, and environment configuration, with fetch, React Query, and SWR options.

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• Implementing API requests in an app
• Choosing React Query or SWR for caching
• Investigating network errors and retries

Generate and edit project images with OpenAI's Image API, including UI mockups, icons, illustrations, social cards, and visual references. This catalog entry helps agents discover the skill; the complete workflow requires installing the upstream bundle.

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• Creating UI mockup images
• Generating icons and illustrations
• Preparing social card images

Add Codex as the agent that plans tasks and coordinates tools in NanoClaw. Choose it for individual groups alongside Claude, with conversation history and session resume using a ChatGPT subscription or OpenAI API key.

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• Adding Codex as a NanoClaw agent provider
• Choosing Claude or Codex for each group
• Setting up ChatGPT or API key authentication

Turn text into audio files for narration, product demos, phone prompts, or accessibility reads using the OpenAI Audio API. Choose built-in voices and delivery directions, then generate a single clip or a batch of files.

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• Create narration from an explainer script
• Generate a voiceover for a product demo
• Produce a batch of phone menu prompts

Turn API documentation or existing scripts into reusable command-line tools that Codex can run from any folder. Builds focused read and write commands, consistent JSON output, authentication handling, installation instructions, and a companion skill.

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• Turn an API into reusable commands
• Make an internal script available from any folder
• Build a tool for downloading and searching logs

Add an LLM provider to DeepChat by choosing a suitable API connection method, updating authentication and model configuration, and making focused source changes with tests for the affected behavior.

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• Adding an OpenAI-compatible provider
• Connecting a provider through an existing transport
• Implementing provider-specific authentication

Check AI watermarks through Google, OpenAI, Microsoft, or Meta verification services. The skill links results to file hashes, identifiers used to verify file integrity, and records separate evidence for each configured account and verification route.

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• Checking watermarks through provider verification services
• Comparing Gemini results across configured accounts
• Recording API and browser checks separately

Help implement Azure OpenAI features in C# and .NET applications using SDK examples. Cover authentication, chat, document-backed answers, image generation, and audio processing, including transcription and speech generation.

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• Adding streaming chat to a .NET application
• Generating JSON responses in a defined format
• Building answers backed by Azure AI Search

Helps design focused AI products built on APIs such as OpenAI and Anthropic. Covers product strategy, prompts, model selection, user experience, usage tracking, and cost management for tools aimed at solving specific customer problems.

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• Planning an AI SaaS product for a specific problem
• Designing prompts for product features
• Balancing model choices, costs, and user experience

Generate illustrations, icons, game textures, sprites, and mockups from written descriptions using OpenAI or Google Gemini. The skill selects an available provider, saves the resulting image, and reports its location.

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• Generate icons or illustrations from descriptions
• Create game textures and sprites
• Make mockups to explore visual ideas

Build, review, and refactor ASP.NET Core web applications using official guidance. Helps choose application structure, implement pages and APIs, configure authentication and services, and plan testing, performance improvements, deployment, and version upgrades.

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• Choose an application model for a new project
• Build pages and HTTP APIs
• Review authentication and application configuration

Guides you through running large language models on CPUs, Apple Silicon, and AMD or Intel GPUs. Covers choosing GGUF model files, reducing memory through quantization, and starting an OpenAI-compatible chat server.

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• Running a local LLM on an Apple Silicon Mac
• Trying LLM inference on a CPU-only machine
• Choosing a model format that fits available memory

Search ClinicalTrials.gov studies by condition and recruitment status, then receive concise summaries. Use the same client to inspect API field definitions, allowed values, search areas, and field statistics, with an option to save raw responses.

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• Finding recruiting studies for a specific condition
• Getting concise summaries of clinical trial search results
• Checking API field definitions and allowed values

アプリケーションに LLM API(OpenAI / Anthropic / Gemini 等)を組み込む際のコスト最適化・セキュリティ・運用の必須パターン集。 「AI機能を付けて」「AIで読み取り」「画像認識」「PDFから抽出」「OCR」「自動分類」「レコメンド」「AI連携」「OpenAI APIを使う」 「チャットボット」「LLMを組み込む」などの文脈で、新規アプリ・既存アプリを問わず必ず使用する。 ユーザーが「AI」と明示しなくても、非構造データ(画像/PDF/自由文)からの情報抽出・分類・判別の要件が含まれるなら必ずこのスキルを読むこと。 AI機能のコスト見積・APIキー管理・利用量ダッシュボードの設計・レビューでもトリガーする。 実測グラウンディング付きの費用試算が必要な場合は Skill llm-cost-simulator を併用。 既定スタック(社内業務アプリ、mvp-first)の必須スキルではない optional 群。上記の AI 要件が要件定義で明示された場合、 または app-orchestrator の要件フラグ「AI機能あり」で指示された場合のみロードする。

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Review OpenAI Cookbook documentation and notebook prose for technical accuracy, readable wording, consistent terminology, and publication metadata. Make focused edits, preserve notebook code and outputs, and report unresolved issues with validation results.

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• Review documentation before merging a pull request
• Polish notebook Markdown cells
• Check publication metadata and author records

Send prompts to Novita AI models such as DeepSeek and GLM from the command line. Retrieve answers as readable text or structured JSON, stream responses as they arrive, and check available models and API connectivity.

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• Send questions to DeepSeek or GLM
• Display responses as they arrive
• Retrieve AI responses as JSON

Run language models locally with llama.cpp on CPUs, Apple Silicon, or AMD and Intel GPUs. The skill guides model setup, memory-saving GGUF format choices, interactive chat, and serving models through an OpenAI-compatible API.

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• Running a language model on a CPU-only computer
• Setting up local chat on an Apple Silicon Mac
• Choosing model quantization to fit available memory

Test Qwen Code CLI behavior from model requests through tool execution. Reproduce bugs, check terminal interactions and MCP tool connections, and inspect API logs using real models or mock servers for controlled scenarios.

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• Reproduce reported CLI bugs and verify fixes
• Test MCP tool connections through the CLI
• Check terminal rendering and keyboard interactions

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.

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