rag-systems
Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization
Browse published AI skills maintained by pluginagentmarketplace. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
678Repository stars across indexed skills
1,622Repository forks
216Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization
Implement agent memory - short-term, long-term, semantic storage, and retrieval
Ensure agent safety - guardrails, content filtering, monitoring, and compliance
Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design
Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management
Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.