qdrant-skills

Agent skills for Qdrant vector search covering scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across Python, TypeScript, Rust, Go, .NET, and Java.

Install

If the official marketplace isn’t added yet, run

Category: Database
Author: Qdrant
GitHub: qdrant/skills
Website: skills.qdrant.tech

Good for

Scaling decisions: data volume, QPS, latency, horizontal vs vertical
Diagnose irrelevant search results and choose strategies such as hybrid search
Switch embedding models without downtime
SDK setup and snippets for Python, TypeScript, Rust, Go, .NET and Java

Getting started

Run /plugin install qdrant-skills@claude-plugins-official
Describe your Qdrant problem to Claude, e.g. 50M vectors on one node and slow search: add nodes?
Apply the guidance it loads on quantization, sharding or deployment

Before you install

The skills are under active development; content and structure may change as Qdrant evolves.

Summarized by AI from the project docs; check the official docs before relying on it.

Similar tools

aivenOfficial plugin · Database
Easily deploy managed PostgreSQL (pg), Kafka, OpenSearch, Clickhouse and other databases, streaming and apps. Free tier available, up and running in minutes.
alloydbOfficial plugin · Database
Create, connect, and interact with an AlloyDB for PostgreSQL database and data.
alloydb-omniOfficial plugin · Database
Create, connect, and interact with an AlloyDB Omni database and data.
altimate-codeOfficial plugin · Database
Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools (SQL analysis, column-level lineage, dbt build/test/run, warehouse profiling, FinOps, connectivity to Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB).
azure-sql-developerOfficial plugin · Database
Agent skills for Azure SQL Developer, the Azure SQL Database engine running locally in a container. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.