Skill search for "openai".

Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.

Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.

Build and test web games iteratively using Playwright with time-stepping

Address review and issue comments on open GitHub PRs via CLI

Research Notion content and synthesize findings into structured briefs

Read, create, and review PDFs with layout and visual formatting integrity

Automate real browser interactions for navigation, forms, and scraping

Review code for language-specific security vulnerabilities

Inspect Sentry issues, summarize production errors, and pull health data

Deploy applications and websites to Vercel with preview or production options

Stage, commit, push code, and open a GitHub pull request via CLI

Rules for implementing Figma designs using the Figma MCP server

Translate app pages and layouts into Figma using design system tokens

Translate Figma designs into production-ready code with 1:1 visual fidelity

Create and edit .pptx presentation decks with PptxGenJS

Bootstrap and develop modern WinUI 3 desktop apps with C# and Windows App SDK

AI podcast audio with Azure OpenAI Realtime API

GPT-4, embeddings, DALL-E, and Whisper client

Deploy apps to Cloudflare using Workers, Pages, and platform services

Read, create, and edit .docx documents with formatting and layout fidelity

Debug and fix failing GitHub Actions PR checks using log inspection

Generate and edit images using OpenAI's Image API for projects

Create clean, reproducible Jupyter notebooks for experiments and tutorials

Manage issues, projects, and team workflows in Linear

Automate Netlify deployments with CLI auth, linking, and environment support

Convert conversations into structured, searchable Notion wiki entries

Prep meetings by pulling Notion context and tailoring agendas

Convert Notion specs into linked implementation plans and tasks

Provide authoritative guidance from OpenAI developer documentation

Deploy applications to Render's cloud platform using Git-backed services

Capture desktop, app windows, or pixel regions across OS platforms

Map people-to-file ownership, compute bus factor, and identify risks

Generate repo-specific threat models identifying trust boundaries

Generate, remix, and manage short video clips via OpenAI's Sora API

Generate spoken audio from text using OpenAI's API with built-in voices

Create, edit, analyze, and visualize spreadsheets with formulas

Transcribe audio files to text with optional speaker diarization

Build, review, and architect ASP.NET Core apps (Blazor, MVC, Minimal APIs, etc.)

Build, scaffold, and troubleshoot ChatGPT Apps SDK apps with MCP server and widget UI

Use the Figma MCP server to fetch design context and translate nodes into production code

Connect Figma design components to code components using Code Connect

Create a new blank Figma file or FigJam file

Build or update a professional-grade design system in Figma from a codebase

Prerequisite skill for every use_figma tool call — write/read actions in Figma context

Create visually strong landing pages, websites, and app UIs with restrained composition

Persistent browser and Electron interaction via js_repl for iterative UI debugging

Edit images on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Nano Banana Edit (batch up to 20, identity-preserving default), OpenAI GPT Image 2 Edit (multilingual in-image text rewrite, multi-ref composition, layout precision), Flux Kontext Pro (single-ref high-fidelity local edit), or Z-Image Turbo Inpaint (mask-driven precise region edit). Bundles each model's documented prompting patterns so the skill gets shar...

Edit images with OpenAI GPT Image 2 (the `/edit` endpoint of ChatGPT Images 2.0) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents GPT Image Edit's strengths (preservation language, multilingual in-image text editing, multi-reference up to 10 images, layout / typography precision), the schema, and when to route to Nano Banana Edit / Flux Kontext / GPT Image 2 t2i instead. Calls `runcomfy...

Generate images with GPT Image 2 (ChatGPT Images 2.0) inside Claude Code, using your existing ChatGPT Plus or Pro subscription — no separate OpenAI access, no per-image billing. Supports text-to-image, image-to-image editing, style transfer, and multi-reference composition via the local Codex CLI. Triggers on "gpt image 2", "gpt-image-2", "ChatGPT Images 2.0", "image 2", or any explicit ask to generate or edit an image through the user's ChatGPT plan.

Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into `${CODEX_HOME:-$HOME/.codex}/pets/<name>/` and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2...

Generate and edit images on RunComfy via the `runcomfy` CLI — a smart router across the full image-model catalog: FLUX 2 (Klein 9B/4B, Pro, Dev, Flash, Turbo, Max), Google Nano Banana 2 / Pro, OpenAI GPT Image 2, ByteDance Seedream 5 / 4-5 / 4-0 and Dreamina 4-0, Alibaba Qwen Image and Z-Image Turbo, Wan 2-7. Covers both text-to-image (t2i) and image-to-image / edit (i2i) endpoints — the skill picks the right model for the user's actual intent (typography precision, photoreal portraits, sub-s...

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generat...

Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep watching open PRs so fresh review feedback is surfaced promptly. Use when the user asks Codex to monitor a PR, watch CI, handle review comments, or keep an eye on failures and feedba...

Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.

Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read/write commands, return stable JSON, manage auth, and pair with a companion skill.

Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual...

Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new local plugin, add optional plugin structure, or generate or update repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata.