AI model or service
NVIDIA AI Platform agent skills, page 2
NVIDIA AI Platform skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | 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 |
| 50 | Compares a vision-language model's yes/no predictions with ground truth and writes the false-positive and false-negative cases to a JSONL file with a summary report. | NVIDIA/ | 3.5k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 51 | Run TLX kernel performance benchmarks on Hopper, Blackwell, and AMD (gfx950/CDNA4, gfx1250) GPUs. | facebookexperimental/ | 201 | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 52 | Split a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups. | NVIDIA/ | 18k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 53 | Research and draft a response to a GitHub issue or question from an external contributor. | NVIDIA/ | 18k | — | ~913 | Automated safety check: Pass | Unknown | yesterday |
| 54 | Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining. | NVIDIA/ | 3.5k | — | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 55 | A skill your agent uses when the user runs /aicr-triage or asks to triage, review, or clean up a GitHub org-level Projects v2 board (default NVIDIA AICR project 248). | NVIDIA/ | 432 | — | ~6.9k | Automated safety check: Pass | Apache-2.0 | today |
| 56 | Execute a requested NeMo Relay code freeze by cutting a release branch, updating nightly alpha configuration, bumping main, and preparing the required PR. | NVIDIA/ | 190 | — | ~895 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 57 | Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. | github/ | 40k | 1 repo | ~2.6k | Automated safety check: Notes | MIT | yesterday |
| 58 | Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. | NVIDIA/ | 3.5k | 1 repo | ~2.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 59 | Generate multiple sequence alignments (MSAs) for protein sequences using the ColabFold MSA-Search NIM. | NVIDIA/ | 3.5k | 1 repo | ~4.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 60 | Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. | NVIDIA/ | 3.5k | 1 repo | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 61 | Generate synthetic training data using NVIDIA Cosmos world foundation models for SDG pipelines | microsoft/ | 122 | — | ~469 | Automated safety check: Pass | MIT | yesterday |
| 62 | Verify whether a tagged NeMo Relay release reached GitHub Actions, tagged Go module source, crates.io, PyPI, and npm. | NVIDIA/ | 190 | — | ~415 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 63 | Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. | NVIDIA/ | 3.5k | 1 repo | ~1.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 64 | Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. | NVIDIA/ | 3.5k | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 65 | Generate novel drug-like molecules using the GenMol NIM microservice. | NVIDIA/ | 3.5k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 66 | Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes. | NVIDIA/ | 3.5k | 1 repo | ~2.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 67 | Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data. | NVIDIA/ | 3.5k | 1 repo | ~2.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 68 | 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/ | 3.5k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 69 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 70 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.5k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 71 | A skill your agent uses for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. | NVIDIA/ | 3.5k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 72 | Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL… | NVIDIA/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 73 | A skill your agent uses when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches. | NVIDIA/ | 3.5k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 74 | A skill your agent uses for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. | NVIDIA/ | 3.5k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 75 | A skill your agent uses for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. | NVIDIA/ | 3.5k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 76 | Run RFDiffusion protein backbone design via NVIDIA NIM. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~1.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 77 | A skill your agent uses when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). | NVIDIA/ | 3.5k | 1 repo | ~3.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 78 | Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin. | NVIDIA/ | 3.5k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 79 | 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/ | 3.5k | — | ~3.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 80 | Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. | NVIDIA/ | 3.5k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 81 | NOTE: molecule and target inputs and your NGCAPIKEY are transmitted to external NVIDIA-hosted API endpoints on every call. | NVIDIA/ | 3.5k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 82 | Preflight and set up the root-level workflow runtime. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 83 | Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson. | NVIDIA/ | 3.5k | 1 repo | ~2.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 84 | Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output. | NVIDIA/ | 3.5k | 1 repo | ~3.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 85 | A skill your agent uses when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. | NVIDIA/ | 3.5k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 86 | Pretrain a fresh KERMT model from scratch on a user-provided corpus. | NVIDIA/ | 3.5k | 1 repo | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 87 | Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test… | NVIDIA/ | 3.5k | 1 repo | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 88 | NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. | NVIDIA/ | 3.5k | 1 repo | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 89 | Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. | NVIDIA/ | 3.5k | 1 repo | ~4.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 90 | Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. | google/ | 21k | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 91 | Build DeepStream GStreamer pipelines interactively. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 92 | A skill your agent uses to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors… | NVIDIA/ | 3.5k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 93 | Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. | NVIDIA/ | 3.5k | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 94 | Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. | NVIDIA/ | 3.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 95 | Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per platform, build the correct demo container, run it, and verify HSB connectivity… | NVIDIA/ | 3.5k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 96 | Per-pin SFIO / direction / initial-state configurator for a Jetson Orin or Thor custom carrier from the pinmux XLSM. | NVIDIA/ | 3.5k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |