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qdrant/skills

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Skills that equip agents with Qdrant vector search expertise.

SkillsAgent Skills 165Open source
View on GitHub
Updated 2026-06-16
qdrant/skills GitHub repository

What is qdrant/skills?

This package supplies a set of specialized skills that encode advanced Qdrant knowledge for coding agents. The skills address engineering questions such as quantization choices, sharding strategies, and hybrid search approaches by linking directly to relevant documentation sections.

Agents activate individual skills based on the current task, fetching only the needed references and minimal examples. This design avoids loading entire documentation sets while still supporting complex decisions like tenant isolation or model switches without downtime.

It targets developers and teams integrating Qdrant into AI agent workflows who need reliable guidance on production-grade vector search configurations.

What you can build with qdrant/skills

Handle large-scale vector workloads

Determine whether to scale vertically or horizontally when managing tens of millions of vectors on a single node.

Improve search result relevance

Diagnose poor matches and select appropriate search strategies including hybrid options.

Migrate embedding models safely

Switch between models such as OpenAI and Cohere while maintaining zero downtime using dual vector setups.

Install qdrant/skills

Install
npx skills add qdrant/skills
Quick start
"I have 50M vectors on a single node and search is slow, should I add more nodes?"
→ qdrant-scaling skill activates, recommends quantization and vertical scaling before adding nodes

"My search results are returning irrelevant matches"
→ qdrant-search-quality skill activates, walks through diagnosis and search strategy options

"How do I switch from OpenAI embeddings to Cohere without downtime?"
→ qdrant-model-migration skill activates, guides zero-downtime migration with dual vectors
  1. 1Install via npx skills add qdrant/skills for local availability.
  2. 2Alternatively reference skills.qdrant.tech directly in agent prompts.
  3. 3For Claude Code, add the marketplace and install the Qdrant skill set.
  4. 4Pose a Qdrant-related question to your agent to trigger the matching skill.
  5. 5Review the skill output for references and recommended next steps.

qdrant/skills: pros & cons

Pros

  • +Provides focused architectural guidance without full documentation overhead.
  • +Works across multiple agents through simple URL or marketplace installation.
  • +Covers production concerns like upgrades, monitoring, and deployment options.
  • +Pairs well with companion MCP servers for code snippets and memory handling.

Cons

  • Still under active development so content may shift between releases.
  • Requires compatible agent environments for full local installation.
  • Best suited for users already familiar with basic Qdrant concepts.
Did you find this helpful?

Frequently asked questions

No, you can reference skills.qdrant.tech directly in prompts without installation.

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