seek-and-analyze-video

This skill provides expert guidance on deploying and optimizing local LLMs using tools like Ollama, llama.cpp, and vLLM. Use it for selecting models, calculating VRAM requirements, and applying quantization formats (GGUF, EXL2) for efficient local inference. It's ideal for developers needing privacy-focused AI deployment on their own hardware.

This skill enables AI agents to persistently index and intelligently query video content from platforms like YouTube and TikTok using Memories.ai's LVMM. It's designed for building searchable video knowledge bases, analyzing social media trends, or summarizing lectures and meetings. Developers should use it when their applications require deep, reusable analysis of video content rather than one-time processing.

This skill provides expert guidance on deploying and optimizing local LLMs using tools like Ollama, llama.cpp, and vLLM. It helps developers select models, manage VRAM, and apply quantization formats (GGUF, EXL2) for efficient local inference. Use it when planning hardware requirements or implementing privacy-focused AI solutions on local hardware.

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.