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Research & Science · NVIDIA AI Platform · For researchers
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Run a complete protein binder design campaign with NVIDIA Proteina-Complexa: resolve a target structure and hotspots from a name/sequence/PDB, co-design binder sequence+structure with reward-guided… | NVIDIA-BioNeMo/ | 479 | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 2 | A skill your agent uses when asked to run deep research or Deep Researcher Agent research through a reachable NVIDIA Deep Researcher Agent Blueprint backend. | NVIDIA-AI-Blueprints/ | 886 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 3 | Route NVIDIA Parabricks pbrun tools, assess GPU/runtime readiness, and provide version-aware command guidance for FASTQ/BAM processing, RNA-seq, variant calling, BAM QC, and GVCF workflows. | NVIDIA-BioNeMo/ | 479 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 4 | Create a new model wrapper for the PhysicsNeMo CFD benchmarking workflow. | NVIDIA/ | 154 | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 5 | Create a custom metric for the PhysicsNeMo CFD benchmarking workflow. | NVIDIA/ | 154 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 6 | Create a new dataset adapter for the PhysicsNeMo CFD benchmarking workflow. | NVIDIA/ | 154 | — | ~3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 7 | A skill your agent uses when accelerating existing genomics workflows with NVIDIA Parabricks, improving runtime or price/performance, converting pipeline steps to GPUs, or comparing CPU and GPU… | NVIDIA-BioNeMo/ | 479 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 8 | Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use. | davila7/ | 33k | 10 repos | ~2.4k | Automated safety check: Pass | MIT | today |
| 9 | Sets up and runs NVIDIA Cosmos Policy evaluations on the LIBERO and RoboCasa simulators, including headless GPU rendering and inference latency profiling. | Orchestra-Research/ | 13k | — | ~3.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 10 | NVIDIA's runtime safety framework for LLM applications. An agent skill from Orchestra-Research/AI-Research-SKILLs. | Orchestra-Research/ | 13k | 2 repos | ~1.9k | Automated safety check: Warn | MIT | 3 mo ago |
| 11 | 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 | 2 days ago |
| 12 | 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 | 2 days ago |
| 13 | A skill your agent uses when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches. | NVIDIA/ | 3.6k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 14 | NOTE: molecule and target inputs and your NGCAPIKEY are transmitted to external NVIDIA-hosted API endpoints on every call. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 15 | NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. | NVIDIA/ | 3.6k | 1 repo | ~1.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 16 | Proteina-Complexa flow-based protein backbone generation with fold-conditioned sampling guidance. | BioTender-max/ | 200 | — | ~1.4k | Automated safety check: Notes | MIT | 3 mo ago |