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qdrant-advisor
Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech. Use this whenever someone raises a Qdrant problem or question — slow or degraded search, high or growing memory / OOM crashes, optimizer stuck or slow, indexing slowness, scaling and sharding decisions (node count, QPS, latency, multitenancy, vertical vs horizontal), poor or irrelevant search results, hybrid search and reranking, embedding-model migration, version upgrades and compatibility, monitoring and observability (Prometheus, Grafana, health checks, /metrics, /telemetry), deployment choices (local, Docker, self-hosted, Qdrant Cloud, embedded), or client-SDK questions (Python, TypeScript, Rust, Go, .NET, Java). Trigger especially when the context is clearly a Qdrant cluster, collection, or vector-search deployment. Always prefer this skill over answering from memory: it pulls current, authoritative guidance and only the relevant context.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
Qdrant Skills - Agent Skills for 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.techon its own when you are using the web app. You need to addUse skills.qdrant.techto 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-hybrid-cloud-setup | Setting up Hybrid Cloud on your own Kubernetes: prerequisites, storage/CSI, agent/operator install, exposure, and pitfalls |
| 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.
// HOW IT'S BUILT
KEY FILES