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qdrant-skills

Plugin

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.

212DevOps

Install

claude plugin install qdrant-skills@claude-plugins-official

What is 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.

What's inside

10 bundled components — installing the plugin installs all of them.

Skills (10)

qdrant-clients-sdk

shell

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

qdrant-deployment-options

Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new proje

qdrant-edge

Guides building on Qdrant Edge, the embedded in-process shard. Use when someone asks 'how to sync Edge with the server', 'keep a local shard in sync with Qdrant Cloud', 'BM25 or keyword search on Edge', 'hybrid search on Edge', 'embeddings on device', 'Edge snapshots', 'apply a partial snapshot', 'w

qdrant-model-migration

Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dim

qdrant-monitoring

Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production

qdrant-multitenancy

Guides tenant isolation architecture in Qdrant for multi-tenant or multi-user applications. Use when someone asks 'how to isolate customer data', 'how to build multi-tenant search/RAG', 'how many collections should I create', 'how to partition tenants by payload', 'a customer's data legally has to s

qdrant-performance-optimization

Navigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-mo

qdrant-scaling

Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.

qdrant-search-quality

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'sho

qdrant-version-upgrade

Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.

What this can do

Capabilities declared by the plugin's own components — read straight from their frontmatter, not inferred.

Run shell commands

1 component declare Bash

Inherit all session tools

5 components declare no tool restrictions

~825 tokens of context used while enabled, before you invoke anything

All declared tools (4)
BashGlobGrepRead

Trust

87/100 · Excellent

2 factors scored below maximum

Runs shell commandsUnscoped tools

Documentation

README · ~4 min read

Qdrant Skills - Agent Skills for Qdrant Vector Search

Qdrant

Agent skills for building with Qdrant vector search

Skills encode deep Qdrant knowledge so coding agents can make the engineering decisions that determine whether vector search works well: quantization, sharding, tenant isolation, hybrid search, model migration, and more.

Philosophy

Skills are not documentation. Qdrant already has docs in markdown. Skills answer "when?" and "why?", not "how?"

They are structured as the handbook of a Solutions Architect working on Qdrant: given a problem, navigate to the exact place in the documentation where the answer lives. No tutorials, no concept explanations. Only references and minimal snippets where absolutely necessary.

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