qdrant-monitoring
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
npx skills add github/awesome-copilot --skill qdrant-monitoring --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Qdrant Monitoring Qdrant monitoring allows tracking performance and health of your deployment, and identifying issues before they become outages. First determine whether you need to set up monitoring or diagnose an active issue. - Understand available metrics [Monitoring docs](https://search.qdrant.tech/md/documentation/operations/monitoring/) ## Monitoring Setup Prometheus scraping, health probes, Hybrid Cloud specifics, alerting, and log centralization. [Monitoring Setup](setup/SKILL.md) ## Debugging with Metrics Optimizer stuck, memory growth, slow requests. Using metrics to diagnose active production issues. [Debugging with Metrics](debugging/SKILL.md)
- Monitoring Setup
- Debugging with Metrics
What does the qdrant-monitoring skill do?
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
How do I install it?
Run `npx skills add github/awesome-copilot --skill qdrant-monitoring --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.