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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 collected
6
Stars
22
updated
2026-04-24
Forks
7
Occupation coverage
3 occupation categories · 100% classified
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Skills in this repository

ai-memory
software-developers

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.

2026-04-24
frontend-design
web-developers

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.

2026-04-24
qdrant-vector-search
software-developers

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.

2026-04-24
skill-creator
software-developers

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.

2026-04-24
ai-memory
software-developerscomputer-systems-analysts

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.

2026-03-10
vector-search
software-developers

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.

2026-03-10