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.

v1.0.0New

#qdrant

Signing

SignedSLSA L2

Signed by: skills-hub.ai distributor
Method: Distributor-signed by skills-hub.aiCryptographically signed by the skills-hub.ai distributor key at publish time.
Signed: Jul 16, 2026, 8:19 PM

Install this skill

Run this command in your terminal. No account required — it auto-detects your AI tool and installs the skill file.

npx @skills-hub-ai/cli install qdrant-qdrant-advisor

Or download directly:

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Setup by platform

Claude Code

~/.claude/skills/<skill>/SKILL.md

Setup guide →

Install

One-click setup for your editor

Run in your project root

npx @skills-hub-ai/cli install qdrant-qdrant-advisor --target claude-code

Instructions

This skill doesn’t include stateful context yet, instructions only. Learn about stateful skills.

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qdrant-horizontal-scalingDiagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.0 installs qdrant-scaling-data-volumeGuides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.0 installs qdrant-memory-usage-optimizationDiagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory usage so high?', 'how to reduce RAM?'. Also use when memory doesn't match calculations, quantization didn't help, or nodes crash during recovery.0 installs qdrant-relevance-feedbackExpanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense search relevance/recall', 'how to discover/get more relevant results from vector search', 'cheaper/better alternative to reranking', 'using a more heavy/big embedding model for dense search but can't afford it', 'finding more relevant documents beyond the initial search pool', or 'feedback loops'. Also trigger when the user has a search quality problem due to a dense retriever being weak and is considering reranking as a solution — this API may be a better fit0 installs qdrant-monitoring-debuggingDiagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's slow'. Also use when performance degrades without obvious config changes.0 installs qdrant-scaling-query-volumeGuides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.0 installs

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qdrant-model-migrationGuides 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 dimensions, switching providers, or A/B testing models.0 installs qdrant-minimize-latencyGuides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.0 installs qdrant-search-strategiesGuides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too similar', 'need diversity', 'MMR', 'relevance feedback', 'recommendation API', 'discovery API', or 'missing keyword matches'0 installs qdrant-search-qualityDiagnoses 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?', 'should I use reranking?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', or 'how to score recall@k?'. Also use when search quality degrades after quantization, model change, or data growth.0 installs qdrant-monitoring-setupGuides Qdrant monitoring setup including Prometheus scraping, health probes, Hybrid Cloud metrics, alerting, and log centralization. Use when someone asks 'how to set up monitoring', 'Prometheus config', 'Grafana dashboard', 'health check endpoints', 'how to scrape Hybrid Cloud', 'what alerts to set', 'how to centralize logs', or 'audit logging'.0 installs qdrant-vertical-scalingGuides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.0 installs

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skill-creatorCreate new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.15 installs skillifyCreate a reusable, self-healing, self-evolving global skill — either from the current conversation context OR from a plain-language description of a workflow. Triggers on: 'turn this into a skill', 'make a skill from this', 'skillify this', 'capture this as a skill', 'save this workflow as a skill', 'create a skill for this', 'make this repeatable', 'skill this up', 'build me a skill that does X', 'I want a skill for Y', or any time a workflow just played out and the user wants to preserve it. Invoke even if the user only hints at wanting to reuse what just happened.7 installs publish-skillPublish a locally installed skill to the skills-hub registry and sync it to the production platform. Use when: 'publish skill X', 'push skill to hub', 'add skill to registry', 'publish to skills hub', 'share this skill', 'make skill available globally'. Runs entirely from the Mac Studio — no VPS needed.3 installs load-contextLoad a saved conversation context to resume previous work. Supports local files, git repos, and URLs. Triggered by 'load context', 'resume previous work', 'pick up where I left off', 'load saved session', 'reload context'.3 installs extract-templateExtracts a reusable project template from a mature project — captures architecture, pipeline, conventions, CI/CD, Docker, testing, linting, and pitfalls into a portable template. Trigger: extract template, save as template, capture conventions, reusable template, templatize project, snapshot conventions.2 installs skill-testTest a skill's quality before publishing — validate SKILL.md frontmatter schema, check instruction structure for phases and guardrails, score against the marketplace rubric out of 100, simulate a dry run to find failure points, and report a pass/fail verdict with specific fixes2 installs

Frequently asked questions about qdrant-advisor

What does the qdrant-advisor skill do?

How do I install the qdrant-advisor skill?

Run `npx @skills-hub-ai/cli install qdrant-qdrant-advisor` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/qdrant-qdrant-advisor/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

Which AI tools does qdrant-advisor work with?

qdrant-advisor runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Is the qdrant-advisor skill free?

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

How do I use qdrant-advisor after installing it?

In Claude Code, type `/qdrant-qdrant-advisor` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Can I share the qdrant-advisor skill with my team?

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.