rag-engineer
Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
140 skills found
Architect and optimize production-grade RAG systems. Master embedding models, vector databases, chunking strategies, and retrieval pipelines for high-accuracy LLM applications.
Streamline technical documentation for BattleScope features, maintaining consistency across API, frontend, and architecture layers.
Master design system architecture: implement design tokens, multi-brand theming, component libraries, and automated design-to-code pipelines for scalable UI foundations.
Implement PCI DSS compliance for secure payment processing, cardholder data protection, and audit preparation using standardized security patterns.
Fetches expert perspectives from OpenAI Codex and Google Gemini for architecture, code reviews, and debugging, with transparent LLM synthesis.
Architects enterprise AI agents from structured specs, generating production-ready code, data flow diagrams, and platform-specific logic for ServiceNow, Salesforce, and Snowflake.
Create and manage Claude Code skills using Anthropic best practices: triggers, hooks, and progressive disclosure.
Guides the creation and organization of Claude Code plugins, including directory scaffolding, manifest setup, component management (commands, agents, skills, hooks), and auto-discovery configuration.
Xcode 26 expert for Liquid Glass, Foundation Models, and Apple Intelligence framework updates across SwiftUI, UIKit, AppKit, and more.
Build modular FastAPI applications using Clean Architecture, including domain-driven design, dependency injection, repository patterns, and testing strategies for scalable Python backend services.
Integration patterns and best practices for TanStack Query, Router, and Start. Ensures type-safe data flow, efficient SSR, and unified caching.
Pull validated startup project data and AI-generated build specifications from CoFounder.im to autonomously orchestrate development in OpenClaw.