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Found 382 Skills
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
This skill should be used when conducting comprehensive research on any topic using the OpenAI Deep Research API. It automates prompt enhancement through interactive clarifying questions, saves research parameters, and executes deep research with web search capabilities. Use when the user asks for in-depth analysis, investigation, research summaries, or topic exploration.
USE FOR AI-grounded answers via OpenAI-compatible /chat/completions. Two modes: single-search (fast) or deep research (enable_research=true, thorough multi-search). Streaming/blocking. Citations.
Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
Generate AI videos using Google VEO 3.1 or OpenAI Sora. Two providers for different strengths - VEO for native audio, Sora for visual quality and longer clips.
Reference guide for permanent free-tier LLM APIs with rate limits, model lists, and OpenAI-compatible integration patterns.
OpenAI integration. Manage Assistants, Files. Use when the user wants to interact with OpenAI data.
Automate content creation from research to video generation using AI-powered content pipeline with Claude, OpenAI, and Remotion
Use when the user asks to generate or edit images via the OpenAI Image API (for example: generate image, edit/inpaint/mask, background removal or replacement, transparent background, product shots, concept art, covers, or batch variants); run the bundled CLI (`scripts/image_gen.py`) and require `OPENAI_API_KEY` for live calls.
Get OpenAI Codex documentation pages in Markdown. Use when you need to reference Codex CLI features, configuration options, or any other Codex functionality.
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
Implement Syncfusion WPF SfAIAssistView for AI chat and conversational assistant interfaces. Use this when building AI assistant UIs, message threads with AI responses, or integrating OpenAI/SemanticKernel in WPF. Covers typing indicators, suggestions, input/response toolbars, stop-responding features, and PromptRequest events using Syncfusion.SfChat.Wpf.