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Repositório GitHub

case-study-series

case-study-series contém 6 skills coletadas de lucifertrj, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.

skills coletadas
6
Stars
22
atualizado
2026-04-24
Forks
7
Cobertura ocupacional
3 categorias ocupacionais · 100% classificado
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Skills neste repositório

ai-memory
Desenvolvedores de software

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
Desenvolvedores web

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
Desenvolvedores de software

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
Desenvolvedores de software

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
Desenvolvedores de softwareAnalistas de sistemas de computador

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
Desenvolvedores de software

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