rag-implementation
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
405 skills found
Build production-grade RAG systems using vector databases, semantic search, and LangGraph to ground LLMs in external knowledge.
Explains complex concepts using master teaching frameworks like Feynman, Socratic, and Cognitive Load theory to ensure deep, clear understanding.
Fetch and aggregate the latest Posit news, blog posts, podcast episodes, video content, and event announcements using automated sub-agents.
Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.
Diagnose and debug Agent-to-Agent (A2A) communication, including orchestrator routing, transport connectivity, agent status, and log analysis for multi-agent systems.
Process and generate multimedia with Google Gemini. Analyze audio, images, videos, and PDFs with high-context windows. Supports transcription, visual QA, OCR, and AI-driven image creation.
Provides expert technical guidance for analyzing, parsing, and debugging DWARF format debug information in compiled binaries.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.
Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum CTR with A/B testing variations.
Meta Marketing CLI for Graph API automation, managing ad campaigns, insights reporting, and Instagram publishing with fail-closed security.
Real-time e-commerce price comparison and coupon hunting across major Chinese platforms like Taobao, JD, Pinduoduo, and more.
Comprehensive n8n workflow testing framework for lifecycle validation, node-to-node data flow, error handling, and performance benchmarking in automated environments.