Summary

This skill guides users through Qdrant monitoring and observability setup, including Prometheus/Grafana configuration, health checks, and metric-driven debugging. It delegates to two sub-skills (setup and debugging) and provides read-only guidance on tracking performance, identifying bottlenecks, and diagnosing production issues.

Detected Capabilities

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

Risk Signals

Referenced Domains

External domains referenced in skill content, detected by static analysis.

Use Cases

• Set up Prometheus scraping and Grafana dashboards for Qdrant
• Monitor Qdrant health probes and configure alerting rules
• Debug slow requests using query latency metrics
• Investigate optimizer stuck issues via segment metrics
• Diagnose memory growth and analyze resource utilization
• Troubleshoot production performance degradation with metric analysis

Quality Notes

• Skill appropriately uses read-only allowed-tools (Read, Grep, Glob) with no file writes or destructive operations
• Clear trigger scenarios provided in description (optimizer stuck, memory growth, slow requests, health checks)
• Scope is well-bounded to monitoring and observability; does not attempt infrastructure provisioning
• Critical issue: Referenced sub-skills (setup/SKILL.md and debugging/SKILL.md) are not provided in the manifest, making the skill incomplete and untestable
• Minimal inline guidance — skill primarily delegates to external documentation and sub-skills rather than providing actionable steps
• No examples, no edge case coverage (e.g., incomplete metrics, monitoring unavailable), no troubleshooting table