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Found 495 Skills
Build ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK. Use when creating ChatGPT apps, building MCP servers with widgets, defining React widgets, working with Apps SDK, or when user mentions ChatGPT widgets, mcp-use widgets, or Apps SDK development.
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evaluations, managing connections/deployments/datasets/indexes, or using OpenAI-compatible clients. This is the high-level Foundry SDK - for low-level agent operations, use azure-ai-agents-python skill.
Generate AI-powered podcast-style audio narratives using Azure OpenAI's GPT Realtime Mini model via WebSocket. Use when building text-to-speech features, audio narrative generation, podcast creation from content, or integrating with Azure OpenAI Realtime API for real audio output. Covers full-stack implementation from React frontend to Python FastAPI backend with WebSocket streaming.
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
Summarize Codex token usage from local Codex Desktop or CLI session JSONL logs. Use when the user asks to count, audit, total, compare, or report Codex/OpenAI token usage for a period such as today, this week, last month, a calendar month, a rolling 30-day window, peak week, peak day, input/output/cached/reasoning breakdown, or net token usage.
Implements and configure the Syncfusion .NET MAUI AI-Powered Smart Text Editor (SfSmartTextEditor). Use when working with SfSmartTextEditor, AI-powered text input, predictive text suggestions, inline or popup suggestions, or UserRole/UserPhrases configurations. Covers suggestion display modes, custom AI services (Claude, DeepSeek, Gemini, Groq), Azure OpenAI integration, and customization options.
Generate and edit images using OpenAI's GPT Image 1.5 model. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports text-to-image generation and image editing with optional mask. DO NOT read the image file first - use this skill directly with the --input-image parameter.
Use this skill for any image-related AI generation or editing task. Triggers include: GENERATE: "generate image", "create image", "make picture", "draw", "visualize", "image of", "create art", "generate art" EDIT: "edit image", "modify image", "change image", "update image", "fix image", "enhance image" ADD/REMOVE: "add to image", "put in image", "remove from image", "delete from image", "add element" STYLE: "style transfer", "make it look like", "convert style", "apply style", "in the style of" PRODUCT: "product photo", "product placement", "place product", "mockup", "put product on" COMPOSITE: "combine images", "merge images", "blend images", "create composite" Supports text-to-image generation, image editing with references, product placement, style transfer, and multi-image composition using Google Gemini (Nano Banana Pro) or OpenAI DALL-E.
Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or "use Codex to implement/fix/refactor" — or wants to run a queue of coding tasks through Codex while staying the reviewer. Prefer it over a one-shot Codex forwarder (such as the codex-rescue agent) specifically when the user will review the resulting diff and commit it themselves, or wants the full brief → dispatch → review → commit loop across a single task or a queue. Also reach for it proactively for a separate implementation pass on a bounded, well-specified task (an implementation sweep, a migration, a mechanical refactor, parallel work). Covers writing the Codex brief, dispatching it via the bundled relay.mjs helper, waiting for completion, reviewing the result, and committing. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.
Setup Sentry AI Agent Monitoring in any project. Use when asked to monitor LLM calls, track AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Detects installed AI SDKs and configures appropriate integrations.
Transcribe audio files to text using OpenAI Whisper
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration