Qdrant Skills for AI Agents - Qdrant

This post introduces 'Qdrant Skills,' a new open-source initiative to encode Qdrant's production knowledge into a format navigable by AI agents. It addresses the 'agent gap' where agents can call APIs but lack the diagnostic and decision-making expertise for complex system tuning. Skills are organized by problem (e.g., 'What to do if search quality is bad?') rather than by feature, providing imperative guidance, 'use when' triggers, and crucial 'what NOT to do' advice, linking directly to documentation. The post demonstrates significant improvements in agent performance (96% assertion pass rate vs. 65%) when using skills, highlighting their value in navigating Qdrant's engineering tradeoffs like memory vs. latency and recall vs. throughput. It also mentions the complementary qcloud-cli for agentic infrastructure management.