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qdrant-skills Claude Code Plugin

Author
Qdrant
Category
Database
Topics
Databases & Storage · AI Agents & AI App Development · Claude Code Customization & Workflow
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-07-24 (UTC)
Source (GitHub) last updated
2026-08-19 (UTC) (8 days ago)

The explanation below is AI-generated. Please verify it against the sources.

qdrant-skills is a plugin that packages a collection of agent skills giving coding assistants detailed operational knowledge about Qdrant vector search. It covers topics such as scaling, performance tuning, search quality, monitoring, deployment choices, embedding model migration, version upgrades, and client SDK usage. The skills are organized hierarchically, with narrower sub-skills nested under broader topics like scaling or performance optimization. According to the sources, a recommended installation method is a single meta-skill called Qdrant Advisor, which fetches the latest guidance live from a skills website rather than bundling static content. The plugin targets engineering decision-making rather than tutorials, aiming to point an agent to the right guidance for a given production problem.

About the service

Qdrant is a vector search engine that can be run locally, self-hosted, embedded in an application, or used as a managed cloud service; the skills help an agent choose among these deployment options and manage the engine across its lifecycle.

What you can do with qdrant-skills

  • Get guidance on scaling decisions such as data volume growth, query throughput, and latency tuning
  • Diagnose and fix performance issues involving search speed, memory usage, and indexing speed
  • Improve search result quality through diagnosis, hybrid search, and reranking strategies
  • Set up monitoring, health checks, and debugging workflows for production Qdrant clusters
  • Plan multitenancy isolation using payload partitioning and tiered or region-based approaches
  • Compare deployment options, including local, Docker, self-hosted, embedded, and cloud setups
  • Migrate embedding models without downtime and plan safe version upgrades NET, and Java

Sources

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