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case-study-series
case-study-series contains 6 collected skills from lucifertrj, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
AI Memory is a feature that allows you to store and retrieve information from your AI assistant. This can be useful for keeping track of important information, such as your schedule, contacts, and other data.
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
AI Memory is a feature that allows you to store and retrieve information from your AI assistant. This can be useful for keeping track of important information, such as your schedule, contacts, and other data.
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.