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DevOps & Cloud · vLLM
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones. | huggingface/ | 11k | 1 repo | ~4.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 2 | Runs the end-to-end vLLM Ascend release process: opens the release checklist and feedback issues, scans for release-blocking bugs and test coverage gaps, and generates release notes and announcements. | vllm-project/ | 2.9k | — | ~7.2k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Deploys SageMaker endpoints with autoscaling, CloudWatch alarms and tags on by default, using scripts for real-time, scale-to-zero and async setups. | huggingface/ | 11k | 1 repo | ~6.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 4 | Plans memory headroom, works through out-of-memory failures and watches temperature and power during long ML training jobs on NVIDIA DGX Spark. | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 5 days ago |
| 5 | 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 |
| 6 | Advisory guidance for Amazon EKS architecture and configuration decisions — compute strategy, networking, security, reliability, cost, autoscaling, observability, multi-tenancy, and upgrade planning. | aws-samples/ | 115 | — | ~5k | Automated safety check: Pass | MIT-0 | 2 days ago |
| 7 | Compose, edit, refactor, and validate Lego-RL train/eval/infer .env configs and reusable scripts/templates modules. | LegoX/ | 113 | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 8 | Interactively build, push or load, and deploy an airunway component (controller or any provider) to the cluster | ai-runway/ | 102 | — | ~927 | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 9 | Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. | vllm-project/ | 102 | — | ~2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 10 | 10.Vss Deploy Deploys and manages VSS through setup.sh and its Docker Compose overlays. | open-edge-platform/ | 171 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 11 | 11.Upgrade Deps Upgrade focused runtime dependencies in AReaL. An agent skill from areal-project/AReaL. | areal-project/ | 5.8k | — | ~6k | Automated safety check: Pass | Apache-2.0 | today |
| 12 | A skill your agent uses whenever a developer needs to deploy VSS to Kubernetes, helm install VSS, configure values.yaml for VSS, or run VSS on k8s with GPU/vLLM for the… | open-edge-platform/ | 171 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | today |
| 13 | Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. | oracle/ | 125 | — | ~1.5k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 14 | Implement a production SageMaker endpoint with autoscaling, CloudWatch alarms, and tags. | waybarrios/ | 534 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | 4 days ago |
| 15 | Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server. | vllm-project/ | 102 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | 6 mo ago |
| 16 | Build, test, and debug Hermes Agent RL environments for Atropos training. | Tommy-yw/ | 546 | — | ~3.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 17 | Configures Hyperloom after pip install --target . An agent skill from AMD-AGI/Hyperloom. | AMD-AGI/ | 219 | — | ~7.1k | Automated safety check: Notes | Unknown | today |
| 18 | 18.LLM Gateway Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. | sickn33/ | 47k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 19 | 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 | yesterday |
| 20 | Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. | google/ | 21k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | today |
| 21 | 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 | yesterday |
| 22 | [omh] Self-hosted LLM serving on GPUs: choose the serving engine and quantization from decision tables, prepare deployment as an idempotent runbook with observed-only verification, and measure the… | rlaope/ | 3.2k | — | ~2.2k | Automated safety check: Pass | MIT | today |
| 23 | How to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 24 | Deploy a GPU workload on CoreWeave with kubectl. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 25 | 25.LLM Gateway Deploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. | BagelHole/ | 1.2k | — | ~2k | Automated safety check: Pass | MIT | 4 mo ago |
| 26 | 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 |