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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Covers serving LLMs with SGLang, whose RadixAttention reuses cached prefixes, and constraining output to JSON, regex or grammar for agent and tool-calling workloads. | Orchestra-Research/ | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 50 | This is an experimental Skill. An agent skill from GoogleCloudPlatform/accelerated-platforms. | GoogleCloudPlatform/ | 106 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 51 | Run and troubleshoot the inference backends on the DGX Spark pair that FastLLM proxies to — starting or stopping models with vLLM, SGLang or sparkrun, choosing memory and speculative-decoding… | azrtydxb/ | 108 | — | ~980 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 52 | Productionize a vLLM-Omni diffusion model after its Day-0 vertical slice works. | vllm-project/ | 7.1k | — | ~5.5k | Automated safety check: Pass | Apache-2.0 | today |
| 53 | Serves an LLM on a supported AMD EPYC server CPU using vLLM with zentorch, in Docker, Podman, or conda. | amd/ | 408 | — | ~5.7k | Automated safety check: Notes | MIT | 2 days ago |
| 54 | 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 |
| 55 | Sync documentation with project state using ICAV workflow. An agent skill from Netis/heron. | Netis/ | 102 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 7 days ago |
| 56 | Breaks LLM torch profiler traces down by forward pass, layer and kernel, with timing tables and Perfetto time ranges for the layers you want to inspect. | BBuf/ | 938 | — | ~3.9k | Automated safety check: Pass | No licence | 6 days ago |
| 57 | Generate and run tests for vllm-project/vllm-omni with CI-aligned levels and markers; wire new tests into Buildkite (test-ready.yml for L1/L2, test-merge.yml for L3, test-nightly.yml for L4). | vllm-project/ | 7.1k | — | ~17k | Automated safety check: Pass | Apache-2.0 | today |
| 58 | Quick install and deploy vLLM, start serving with a simple LLM, and test OpenAI API. | vllm-project/ | 102 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 59 | Autonomously optimizes end-to-end LLM inference throughput on AMD Instinct GPUs and reports a validated gain, using the Hyperloom multi-agent optimizer. | amd/ | 408 | — | ~1.7k | Automated safety check: Notes | MIT | 2 days ago |
| 60 | Uses Meta's LlamaGuard moderation model to screen prompts and model replies against six safety categories, with vLLM, FastAPI and NeMo Guardrails setups. | Orchestra-Research/ | 13k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 61 | Compares SGLang, vLLM, TensorRT-LLM and TokenSpeed on one model and workload, searching server flags to find the best deployment command within a latency SLA. | BBuf/ | 938 | — | ~7.5k | Automated safety check: Pass | No licence | 6 days ago |
| 62 | 62.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 | yesterday |
| 63 | Optimize Ollama configuration for the current machine's hardware. | luongnv89/ | 131 | — | ~4.1k | Automated safety check: Notes | MIT | yesterday |
| 64 | Benchmarks LLM inference and drives GPU kernel optimization with Magpie. | amd/ | 408 | — | ~2.3k | Automated safety check: Pass | MIT | 2 days ago |
| 65 | A skill your agent uses when an SGLang, vLLM, TensorRT-LLM, or TokenSpeed serving/model optimization task needs prior model-family PR evidence. | BBuf/ | 938 | — | ~1.5k | Automated safety check: Pass | No licence | 6 days ago |
| 66 | 66.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 | yesterday |
| 67 | 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 | yesterday |
| 68 | 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 |
| 69 | Run local evaluations for Hugging Face Hub models with inspect-ai or lighteval. | henryalouf/ | 157 | — | ~1.6k | Automated safety check: Pass | MIT | 4 mo ago |
| 70 | Implement a production SageMaker endpoint with autoscaling, CloudWatch alarms, and tags. | waybarrios/ | 534 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 71 | Runs deterministic byte-parity and paired performance campaigns for Dynamo offline KV-aware replay across native-G1 vLLM and SGLang configurations, including forced scheduler-pressure and… | ai-dynamo/ | 8.3k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | today |
| 72 | 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 |
| 73 | Given a .mlir file (or a directory of .mlir files) with TTIR ops, run the same TTIR normalization passes as D2MFrontendPipeline before D2M, then produce per-file outputs: preprocessed.mlir… | tenstorrent/ | 314 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 74 | Select and verify the current region-specific serving container URI for a SageMaker model deployment. | waybarrios/ | 534 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 75 | Durably ARCHIVE everything informative from a finished run / experiment before it's cleaned up or its cluster artifacts age out — ALL Harbor tracejobs (raw per-trial traces), ALL ray logs, ALL… | open-thoughts/ | 301 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 13 days ago |
| 76 | Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. | sickn33/ | 47k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 77 | Curated upstream guidance for Huggingface Community Evals; use when the workflow matches the user goal. | sickn33/ | 47k | 1 repo | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 78 | Build, test, and debug Hermes Agent RL environments for Atropos training. | Tommy-yw/ | 546 | — | ~3.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 79 | Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio. | sickn33/ | 47k | 2 repos | ~1.6k | Automated safety check: Pass | MIT | 2 days ago |
| 80 | 80.Vllm Server Deploy and manage vLLM for high-throughput LLM inference. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | 2 days ago |
| 81 | Audit the DeepSeek V3 MPK demo + builder chain end-to-end and confirm logical equivalence with vLLM's reference implementation. | mirage-project/ | 2.5k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | 4 days ago |
| 82 | Configures Hyperloom after pip install --target . An agent skill from AMD-AGI/Hyperloom. | AMD-AGI/ | 219 | — | ~7.1k | Automated safety check: Notes | Unknown | yesterday |
| 83 | 83.Vllm Deploy and serve LLMs with vLLM behind an OpenAI-compatible endpoint, with tool calling enabled for agent workloads. | Prism-Shadow/ | 2.5k | — | ~1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 84 | Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). | wshobson/ | 40k | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 85 | LLM and ML model deployment for inference. An agent skill from ancoleman/ai-design-components. | ancoleman/ | 525 | — | ~3.4k | Automated safety check: Pass | MIT | 10 mo ago |
| 86 | Root-cause a vLLM torch-nightly CI regression report. An agent skill from pytorch/test-infra. | pytorch/ | 113 | — | ~2.4k | Automated safety check: Pass | Unknown | 2 days ago |
| 87 | Add and manage evaluation results in Hugging Face model cards. | sickn33/ | 47k | 2 repos | ~418 | Automated safety check: Pass | MIT | 2 days ago |
| 88 | Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data. | NVIDIA/ | 3.6k | 1 repo | ~2.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 89 | Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 90 | 90.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 | 2 days ago |
| 91 | 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 |
| 92 | vLLM: high-throughput LLM serving, OpenAI API, quantization. | Luciole-Studio/ | 171 | 2 repos | ~2.3k | Automated safety check: Pass | MIT | 3 days ago |
| 93 | lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.). An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 2 repos | ~3.1k | Automated safety check: Pass | MIT | 3 days ago |
| 94 | 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 | 2 days ago |
| 95 | Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph… | agentsope/ | 436 | — | ~5.8k | Automated safety check: Pass | MIT | 2 days ago |
| 96 | Review vLLM-routed torch-nightly root causes against existing upstream vLLM issues using read-only search results, and emit a validated upstream-checks artifact for the filer. | pytorch/ | 113 | — | ~1.3k | Automated safety check: Pass | Unknown | 2 days ago |