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AI & LLM Engineering · Prometheus · For developers
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Deploys LLMs with vLLM for high-throughput serving, covering the OpenAI-compatible server, offline batch inference, monitoring and a Docker rollout. | Orchestra-Research/ | 13k | 5 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech. | qdrant/ | 254 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 3 | Set up and manage NVIDIA GPU servers for AI workloads. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~2k | Automated safety check: Notes | MIT | 2 days ago |
| 4 | Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. | sickn33/ | 47k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 2 days ago |
| 5 | Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN… | grafana/ | 282 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 6 | Cost guardrail for AWS DevOps Agent that covers ALL AWS services and native agent tools. | aws/ | 103 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 7 | Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. | BagelHole/ | 1.2k | — | ~2k | Automated safety check: Pass | MIT | 4 mo ago |
