Qdrant Skills - Agent Skills for Qdrant Vector Search

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.

Disclaimer

These skills are under active development. Skill content and structure may change between versions as Qdrant evolves.

Usage

Qdrant maintains a growing set of skills, and their content changes as Qdrant evolves. There are a few ways to give your agent access to them.

Recommended: install the Qdrant Advisor

Install one skill — the Qdrant Advisor — and your agent always has the freshest, most relevant Qdrant guidance, with nothing to manage as the skills change:

npx skills add qdrant/skills/meta/qdrant-advisor

The Advisor ships no static content of its own. When you raise a Qdrant problem, it searches skills.qdrant.tech live, traverses the skill hierarchy along the branch that matches your symptom, and grounds its diagnosis in the current, authoritative guidance, loading only the relevant context. Because it fetches fresh every session, you don't need to reinstall to stay current, and you don't have to remember a URL or hope the site is in the model's training data.

Using the claude.ai web app? The Advisor can't fetch skills.qdrant.tech on its own when you are using the web app. You need to add Use skills.qdrant.tech to your prompt (refer to Pass the URL directly).

Alternative: pass the URL directly

If you'd rather not install anything, pass the URL of the skills site in your prompt. The agent fetches the skill relevant to your current problem:

Use skills.qdrant.tech

This keeps context focused, but you have to include the URL in every prompt.

Offline: install the full skill set

If you want the skills available offline, or triggered automatically without the Advisor, install the complete set locally. See the Installation section.

Quick Start

With the Qdrant Advisor installed, just ask your agent about Qdrant. The Advisor triggers automatically and loads the matching guidance live:

"I have 50M vectors on a single node and search is slow, should I add more nodes?"
→ Advisor loads the scaling guidance, recommends quantization and vertical scaling before adding nodes

"My search results are returning irrelevant matches"
→ Advisor loads the search-quality guidance, walks through diagnosis and search strategy options

"How do I switch from OpenAI embeddings to Cohere without downtime?"
→ Advisor loads the model-migration guidance for a zero-downtime switch with dual vectors

Prefer the URL method? Add Use skills.qdrant.tech to the same prompts:

"I have 50M vectors on a single node and search is slow, should I add more nodes? Use skills.qdrant.tech"

"My search results are returning irrelevant matches. Use skills.qdrant.tech"

Skills

Skill	Useful for
qdrant-clients-sdk	SDK setup, code examples, snippet search across Python, TypeScript, Rust, Go, .NET, Java
qdrant-scaling	Scaling decisions: data volume, QPS, latency, query volume, horizontal vs vertical
qdrant-sizing	Sizing RAM, disk, CPU, and node count before a deployment is provisioned.
qdrant-performance-optimization	Search speed, memory usage, indexing performance
qdrant-search-quality	Diagnosing bad results, search strategies, hybrid search
qdrant-monitoring	Metrics, health checks, debugging optimizer and cluster issues
qdrant-multitenancy	Isolating multiple tenants within a Qdrant deployment: payload partitioning, tiered multitenancy, and region-based data isolation
qdrant-deployment-options	Choosing between local, self-hosted, cloud, and hybrid
qdrant-edge	Building on the embedded shard: server sync, on-device BM25, snapshots, reuse vs reimplement
qdrant-migration-tool	Using the Qdrant Migration Tool CLI to move data from another vector database into Qdrant
qdrant-model-migration	Switching embedding models without downtime
qdrant-version-upgrade	Safe upgrade paths, compatibility guarantees, rolling upgrades

Installation

Qdrant Advisor (recommended)

If you want a single, always-current skill instead of the full set, install only the Qdrant Advisor:

npx skills add qdrant/skills/meta/qdrant-advisor

This installs just the qdrant-advisor meta-skill. It ships no static content of its own, it loads the relevant Qdrant skills live from skills.qdrant.tech on demand, so you always get the latest guidance without reinstalling. It is not part of the npx skills add qdrant/skills bundle.

npx skills

Install using the npx skills CLI:

npx skills add qdrant/skills

Claude Code

Add the marketplace, then install all Qdrant skills:

/plugin marketplace add qdrant/skills
/plugin install qdrant@qdrant

Cursor

Install from the Cursor Marketplace or add manually via Settings > Rules > Add Rule > Remote Rule (GitHub) with qdrant/skills.

Clone / Copy

Clone this repo and copy the skill folders into the appropriate directory for your agent:

Agent	Skill Directory	Docs
Claude Code	~/.claude/skills/	docs
Cursor	.cursor/skills/	docs
OpenCode	~/.config/opencode/skill/	docs
OpenAI Codex	~/.codex/skills/	docs
Pi	~/.pi/agent/skills/	docs

MCP Servers

For additional Qdrant context, pair skills with these MCP servers:

Server	Purpose
mcp-code-snippets	Search Qdrant docs and code examples across all SDKs
mcp-server-qdrant	Store and retrieve memories, manage collections directly

Getting Help

Found a bug or wrong advice in a skill? Open an issue on GitHub and include:

• The skill name
• The prompt you gave your agent
• What the agent said vs what it should have said

Contributing

If you are interested in contributing, follow the instructions in CONTRIBUTING.md.