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Found 465 Skills
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.
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepSeek, OpenRouter) using SwiftOpenAI-CLI. Use this skill when users ask to "use grok", "ask grok", "use groq", "ask deepseek", or any similar request to query a specific LLM provider in agent mode.
Use this skill for AI video generation. Triggers include: "generate video", "create video", "make video", "animate", "text to video", "video from image", "video of", "animate image", "bring to life", "make it move", "add motion", "video with audio", "video with dialogue" Supports text-to-video, image-to-video, video with dialogue/audio using Google Veo 3.1 (default) or OpenAI Sora.
Local speech-to-text using OpenAI Whisper. Runs fully offline after model download. High quality transcription with multiple model sizes.
Set up and configure the Syncfusion Blazor Smart TextArea for AI-powered inline or popup text autocompletion. Covers OpenAI, Azure OpenAI, Ollama, and custom IChatInferenceService backends, plus UserRole, UserPhrases, and suggestion display mode customization.
Guide for using Netlify AI Gateway to access AI models. Use when adding AI capabilities or selecting/changing AI models. Must be read before choosing a model. Covers supported providers (OpenAI, Anthropic, Google), SDK setup, environment variables, and the list of available models.
Recipes and configs for serving LLMs locally on RTX 3090 GPUs using vLLM, llama.cpp, and SGLang with OpenAI-compatible API
Automated AI content pipeline from research to video generation using Claude/OpenAI and Remotion
Automate content creation from research to video generation using Claude/OpenAI AI with auto-posting capabilities
Microsoft Teams bots and AI agents - Claude/OpenAI, Adaptive Cards, Graph API
AI image generation using Google Gemini (Gemini) and OpenAI GPT-Image. Generate, edit, iterate, and create assets.