qdrant-clients-sdk
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
Guides 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
$ npx -y skills add qdrant/skills --skill setup --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/setupContext preview
The summary Claude sees to decide when to auto-load this skill.
Guides 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
name: qdrant-monitoring-setup description: "Guides 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'."
Get Prometheus scraping working first, then health probes, then alerting. Do not skip monitoring setup before going to production.
Use when: setting up metric collection for the first time or adding a new deployment.
Use when: running Qdrant Hybrid Cloud and need cluster-level visibility.
Do not just scrape Qdrant nodes. In Hybrid Cloud, you manage the Kubernetes data plane. You must also scrape the cluster-exporter and operator pods for full cluster visibility and operator state.
Use when: configuring Kubernetes health checks.
Use when: setting up alerts for production or Hybrid Cloud deployments.
Use when: enterprise compliance requires centralized logs or audit trails.
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
Repo: qdrant/skills
Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which…
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…
Setting up and running Qdrant Hybrid Cloud on your own Kubernetes cluster (managed, on-prem, or edge): prerequisites, storage/CSI and backups, installing the…
Guides use of the Qdrant Migration Tool CLI to move vectors, metadata, and sparse embeddings from another vector database into Qdrant. Use when someone asks…
Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update…