'openai' 검색 결과

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

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

Check package changes against changesets, the files describing release updates, to assess summaries and required version increases. Use it to review pull requests or uncommitted changes and obtain a structured verdict with errors, warnings, and the required bump.

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• Reviewing changeset compliance in a pull request
• Checking release notes against uncommitted changes
• Choosing the appropriate version bump

Guide for ingesting the latest OpenAI TypeSpec specification into the openai-dotnet SDK. Use this when asked to update or ingest OpenAI API specs, copy base TypeSpec files from upstream, fix client TSP compile errors, or run code generation for new API areas.

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Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Use ONLY when the user explicitly names OpenAI or GPT as the provider: "gpt image", "openai image", "generate image with openai", "用 openai 画图", "用 GPT 生成图片". For generic image requests without a provider, use nanobanana-skill instead. Do NOT use for diagrams (架构图/流程图) — draw those with Mermaid or code.

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Query the OpenAI developer documentation via the OpenAI Docs MCP server using CLI (curl/jq). Use whenever a task involves the OpenAI API (Responses, Chat Completions, Realtime, etc.), OpenAI SDKs, ChatGPT Apps SDK, Codex, MCP integrations, endpoint schemas, parameters, limits, or migrations and you need up-to-date official guidance.

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Raise real concurrency in asyncio LLM batch scorers built on the OpenAI SDK (AsyncOpenAI, including OpenAI-compatible providers like DeepSeek). Use when: (1) raising an asyncio.Semaphore above ~100 produces no throughput gain, (2) a batch pipeline saturates near 100 in-flight requests despite a larger semaphore, (3) planning a high-concurrency campaign against a provider with no hard rate limit (DeepSeek v4-flash tolerates 2000+ in flight). Root cause: AsyncOpenAI's default httpx pool caps max_connections at 100, silently bottlenecking any larger semaphore — you must pass a custom http_client with httpx.Limits sized to the semaphore.

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Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting guidance, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains.

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ChatGPT 안에서 조작하는 앱의 구상부터 React 위젯과 상태 공유 구현까지 안내합니다. 현재는 사용이 권장되지 않으며 후속 스킬로 전환하도록 안내합니다.

• ChatGPT 앱의 기능 정리
• 서버와 연동하는 화면 구현
• 화면 상태를 ChatGPT와 공유

Codex CLI가 OmniRoute에 연결되도록 설정합니다. 운영체제와 셸을 감지하고 설정 파일과 일곱 가지 프로필을 만든 뒤 환경 변수 설정과 동작 확인을 진행합니다.

• Codex CLI를 OmniRoute에 연결
• 여러 운영체제에서 Codex 설정
• 이름이 있는 일곱 가지 프로필 생성

Update the published Remotion plugin for Codex and ChatGPT to a released version. Prepare and validate an upload ZIP, preserve existing listing details, and follow the dashboard workflow through review and publication verification.

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• Update the public plugin to a released Remotion version
• Prepare an upload ZIP while preserving listing details
• Resume an existing draft or review

Design autonomous coding agents with patterns inspired by Cline and OpenAI Codex. Explore tool calling interfaces, permission and approval systems, browser automation, and workflows where people review or guide the agent's actions.

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• Planning an autonomous coding agent
• Designing tool and function calling interfaces
• Defining permissions and approval steps

Guides development of ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK, covering server tools, React interfaces, and shared state. This skill is deprecated and directs users to mcp-app-builder.

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• Plan a ChatGPT app with interactive widgets
• Implement MCP server tools and React widgets
• Manage widget state and context shared with ChatGPT

Plan voice AI systems by comparing direct speech processing with separate transcription, language generation, and speech synthesis stages. Covers response delays, detecting when people speak, interruptions, and noise handling to guide conversational interface design.

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• Compare architectures for a voice AI system
• Review delays across conversation processing stages
• Design handling for interruptions during speech

Set up LLM serving with structured responses, including JSON and outputs restricted to specified patterns. Covers reusing shared prompt calculations, tool calling, and multi-turn conversations through SGLang, with examples for server setup and application integration.

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• Extract information into JSON with a defined schema
• Build agents that call tools
• Reuse shared prompts across chat requests

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

Implement, update, test, or document TypeScript provider packages, the adapters connecting supported services and frameworks. This skill focuses on work under ts/packages/providers and directs the agent to read the provider workflow before making changes.

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• Implement a TypeScript provider
• Modify a service or framework adapter
• Test provider-specific changes

Compare SDK implementation with English documentation to find missing features, incorrect defaults, and outdated behavior descriptions. Report evidence and suggested locations, or make requested updates while keeping navigation consistent and following the repository’s documentation checks.

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• Auditing documentation for a specific SDK feature
• Updating English docs after implementation changes
• Correcting outdated settings and default values

Generate photos, illustrations, product mockups, and other bitmap images, or edit existing pictures with background changes, object removal, and transparent cutouts. Use reference images to guide variations and save selected assets for the project.

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• Create a website hero image or illustration
• Replace a product photo background or remove objects
• Make a transparent cutout

Generate images from text or reference images using multiple image services. Choose aspect ratios, sizes, and quality settings, or generate a collection of images in batches from saved prompt files.

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• Create illustrations from text descriptions
• Change scenes using reference images
• Generate images in specific aspect ratios

Guides image classification and search with OpenAI's CLIP by comparing images with text descriptions, without additional training. Includes batch processing, image-text matching, and category-based checks for potentially inappropriate images.

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• Classify images using text labels without additional training
• Search an image collection with natural-language descriptions
• Compare how closely images match text descriptions

Connect streaming APIs to Ant Design X by implementing a Chat Provider, an adapter for request and message formats. Choose built-in providers where suitable, transform custom responses, and configure authentication, retries, and stream parsing.

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• Connect a private streaming API to Ant Design X
• Choose a provider for OpenAI or DeepSeek
• Convert responses containing multiple fields

Adapt a streaming API to Ant Design X by selecting or implementing a Chat Provider, the layer that converts requests and responses into chat messages. Includes custom formats, incremental message assembly, and nonstandard stream handling.

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• Choose a built-in provider for OpenAI or DeepSeek
• Connect a private SSE API to Ant Design X
• Convert responses with multiple fields into chat messages