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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | 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 |
| 98 | 98.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 |
| 99 | MemoryWhale debugging; compiler failures; terminal diagnostics. | wuisabel-gif/ | 154 | — | ~370 | Automated safety check: Pass | MIT | 3 days ago |
| 100 | Classify one failed NemoClaw GitHub Actions job using bounded, redacted logs and optional retained artifacts. | NVIDIA/ | 23k | — | ~806 | Automated safety check: Pass | Apache-2.0 | today |
| 101 | Research and draft a response to a GitHub issue or question from an external contributor. | NVIDIA/ | 18k | — | ~915 | Automated safety check: Pass | Unknown | today |
| 102 | 102.Watchdog Hold / release GPUs by running a standard SGLang inference server on them (lab convention — occupy a card with a real serving job that fills ~all of its memory AND is driven at stable near-full… | cua-lite/ | 108 | — | ~1.9k | Automated safety check: Pass | No licence | yesterday |
| 103 | Review rubric for the /review pull-request command. An agent skill from NVIDIA/Megatron-LM. | NVIDIA/ | 18k | — | ~839 | Automated safety check: Pass | Apache-2.0 | today |
| 104 | 104.Slime User Guide for using SLIME (LLM post-training framework for RL Scaling). | yzlnew/ | 149 | — | ~3.2k | Automated safety check: Pass | No licence | 3 mo ago |
| 105 | Publish or update a NemoClaw pull request and follow its CI and automated reviews to completion. | NVIDIA/ | 23k | — | ~1k | Automated safety check: Pass | Apache-2.0 | today |
| 106 | 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 |
| 107 | Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)… | awslabs/ | 916 | — | ~910 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 108 | Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming). | yzlnew/ | 149 | — | ~2.4k | Automated safety check: Pass | No licence | 3 mo ago |
| 109 | Review a CV-CUDA operator's input-type, layout, dtype, and channel support matrix. | CVCUDA/ | 2.7k | — | ~248 | Automated safety check: Pass | Unknown | 24 days ago |
| 110 | Computer vision engineering skill for object detection, image segmentation, and visual AI systems. | alirezarezvani/ | 28k | 1 repo | ~3.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 111 | 111.GPU Status Show GPU availability across all SSH servers listed in this project's CLAUDE.md. | CurryTang/ | 176 | — | ~862 | Automated safety check: Warn | No licence | 6 mo ago |
| 112 | Execute a requested NeMo Relay code freeze by cutting a release branch, updating nightly alpha configuration, bumping main, and preparing the required PR. | NVIDIA/ | 192 | — | ~895 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 113 | Generate a validation plan and test scaffolding to check a Primus optimization that has been ported into a user's own training framework, across correctness (numerical accuracy vs a reference)… | AMD-AGI/ | 131 | — | ~1.5k | Automated safety check: Pass | Unknown | today |
| 114 | Guidance for Azure Confidential Computing — protecting data in use through hardware-based Trusted Execution Environments (TEEs). | vinayaklatthe/ | 175 | — | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 115 | Review a CV-CUDA operator's test coverage, including C++ correctness, required cross-layout parity, correctness rigor, and the Python API surface. | CVCUDA/ | 2.7k | — | ~264 | Automated safety check: Pass | Unknown | 24 days ago |
| 116 | Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls. | sickn33/ | 47k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | 2 days ago |
| 117 | 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 |
| 118 | Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 119 | Generate multiple sequence alignments (MSAs) for protein sequences using the ColabFold MSA-Search NIM. | NVIDIA/ | 3.6k | 1 repo | ~4.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 120 | Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. | NVIDIA/ | 3.6k | 1 repo | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 121 | Implements input/output validation guardrails for LLM applications using NVIDIA NeMo Guardrails (Colang), custom Python validators for PII detection, and the Guardrails AI framework, intercepting… | mukul975/ | 34k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 122 | Implements defense-in-depth controls at an AI agent's tool-invocation boundary using tool allowlisting, least-privilege identity binding, NeMo Guardrails policy enforcement, human-in-the-loop… | mukul975/ | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 123 | Probes Retrieval-Augmented Generation pipelines for indirect prompt injection via poisoned retrieved documents and embedding-space manipulation, using NVIDIA garak, Promptfoo red-team plugins, and… | mukul975/ | 34k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 124 | 124.Kernel Profiling Profile GPU kernels using NCU (NVIDIA) or rocprof (AMD) to collect performance metrics. | ZJLi2013/ | 102 | — | ~696 | Automated safety check: Pass | No licence | 6 mo ago |
| 125 | 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 |
| 126 | Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines | microsoft/ | 126 | — | ~469 | Automated safety check: Pass | MIT | yesterday |
| 127 | 127.Model Serving 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 |
| 128 | Verify whether a tagged NeMo Relay release reached GitHub Actions, tagged Go module source, crates.io, PyPI, and npm. | NVIDIA/ | 192 | — | ~415 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 129 | Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. | NVIDIA/ | 3.6k | 1 repo | ~1.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 130 | Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. | NVIDIA/ | 3.6k | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 131 | Generate novel drug-like molecules using the GenMol NIM microservice. | NVIDIA/ | 3.6k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 132 | 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 | yesterday |
| 133 | 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 | yesterday |
| 134 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 135 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 136 | A skill your agent uses for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 137 | A skill your agent uses for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 138 | A skill your agent uses for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 139 | Run RFDiffusion protein backbone design via NVIDIA NIM. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~1.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 140 | A skill your agent uses when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). | NVIDIA/ | 3.6k | 1 repo | ~3.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 141 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | sickn33/ | 47k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 2 days ago |
| 142 | Check whether a CV-CUDA operator is READY to optimize (correctness + bench coverage + captured baseline + profiling) per .agents/guidance/OPTIMIZATIONGUIDELINES.md. | CVCUDA/ | 2.7k | — | ~255 | Automated safety check: Pass | Unknown | 24 days ago |
| 143 | Run the full DEFT smart-data-augmentation loop for NVIDIA TAO Grounding DINO object detection: zero-shot baseline inference, KPI analysis, per-class gap analysis, SigLIP embedding of weak images… | NVIDIA/ | 3.6k | — | ~3.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 144 | Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | yesterday |