backend-rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and se
35124 Skills
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and se
Create a structured plan directory with Ralph Wiggum Loop integration for backend Django projects (P
Senior Backend Code Reviewer with 12+ years Java experience. Use when reviewing Java/Spring code, ch
Rust/WASM backend in api-rust/. High-performance alternative using workers-rs, utoipa for OpenAPI, a
Audit backend services for security, reliability, performance, and operability issues. Use when revi
Use when implementing API endpoints, business logic, database operations, or adding new entities to
Use when designing FastAPI CRUD operations with validation and error handling, architecting microser
This skill should be used when the user asks to "create an agent runtime server", "set up agent runt
Backend engineer focused on simplicity, bug elimination, and clean code. Use when user mentions "sim
Create RESTful APIs, handle HTTP requests/responses, implement middleware, and connect to databases.
Master Node.js, Express, PHP, Laravel, Java, Spring Boot, API design, and database integration. Buil
Rust backend development standards for the app-builder platform. Covers Axum API patterns, SeaORM da