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Search MCP servers and agent skills by name, description, category or topic — 381 results.
NVIDIA/NemoClaw/nemoclaw-user-reference
Describes the NemoClaw plugin and blueprint architecture and how they orchestrate the OpenClaw sandbox.
NVIDIA/TensorRT-LLM/ad-accuracy-debug
Debug AutoDeploy accuracy regressions vs a reference score (PyTorch backend or published baseline).
NVIDIA/TensorRT-LLM/ad-add-fusion-transformation
Claude Code skill (trtllm-agent-toolkit): implement or extend TensorRT-LLM AutoDeploy fusion transforms under transform/library/ in a TensorRT-LLM checkout.
NVIDIA/TensorRT-LLM/ad-conf-check
Check whether AutoDeploy YAML configs were actually applied by analyzing server logs and optionally graph dumps (AD_DUMP_GRAPHS_DIR).
NVIDIA/TensorRT-LLM/ad-graph-dump
Enable and interpret TensorRT-LLM AutoDeploy FX graph text dumps via AD_DUMP_GRAPHS_DIR.
NVIDIA/TensorRT-LLM/ad-layer-visualizer
Visualize a specific transformer decoder layer from an AutoDeploy FX graph text dump as a hierarchical DOT/PNG diagram.
NVIDIA/TensorRT-LLM/ad-model-onboard
Translates a HuggingFace model into a prefill-only AutoDeploy custom model using reference custom ops, validates with hierarchical equivalence tests.
NVIDIA/TensorRT-LLM/exec-local-compile
Compile TensorRT-LLM on a compute node inside a Docker container.
NVIDIA/TensorRT-LLM/kernel-cute-writing
Write and implement GPU kernels using NVIDIA CuTe DSL (CUTLASS 4.x Python API) — NOT for Triton, CUDA C++, or conceptual explanations.
NVIDIA/TensorRT-LLM/kernel-tileir-optimization
Optimize existing Triton kernels for NVIDIA TileIR backend on Blackwell GPUs (sm_100+).
NVIDIA/TensorRT-LLM/kernel-triton-writing
ONLY for OpenAI Triton (@triton.jit) kernel development.
NVIDIA/TensorRT-LLM/perf-host-analysis
Analyze host/CPU overhead in TensorRT-LLM inference from nsys traces.
NVIDIA/TensorRT-LLM/perf-host-optimization
Profiles and optimizes TensorRT-LLM host/CPU overhead using line_profiler (with nsys support planned).
NVIDIA/TensorRT-LLM/perf-nsight-compute-analysis
Analyze ncu (NVIDIA Nsight Compute) profiling output: SOL% bottleneck classification, roofline analysis, occupancy diagnosis, memory hierarchy analysis, warp stall analysis, metr...
NVIDIA/TensorRT-LLM/perf-nsight-systems
Nsight Systems (nsys) CLI for system-level timeline profiling.
NVIDIA/TensorRT-LLM/perf-optimization
Performance optimization coordination playbook.
NVIDIA/TensorRT-LLM/perf-torch-cuda-graphs
Apply CUDA Graphs to PyTorch workloads — API selection (torch.compile, PyTorch make_graphed_callables, TE make_graphed_callables, MCore CudaGraphManager, FullCudaGraphWrapper, m...
NVIDIA/TensorRT-LLM/perf-torch-sync-free
Identify and eliminate host-device synchronizations in PyTorch code.
NVIDIA/TensorRT-LLM/perf-workload-profiling
Code instrumentation for timing workloads.
NVIDIA/TensorRT-LLM/trtllm-code-contribution
Best practices for contributing code to TensorRT-LLM.
NVIDIA/TensorRT-LLM/trtllm-codebase-exploration
Systematic approach to exploring the TensorRT-LLM codebase before implementing new features or optimizations.
NVIDIA/TensorRT-LLM/trtllm-flashinfer-upgrade
Upgrade flashinfer-python version in TensorRT-LLM.
NVIDIA/TensorRT-LLM/trtllm-moe-develop
Review, design, and refactor TensorRT-LLM PyTorch MoE code for architecture fit, clean code, maintainability, and testability.
NVIDIA/TensorRT-LLM/trtllm-serve-config-guide
Generate a source-backed starting `trtllm-serve --config` YAML for basic aggregate single-node PyTorch serving, aligned with checked-in TensorRT-LLM configs and deployment docs.
NVIDIA/TileGym/adding-cutile-kernel
Add a new cuTile GPU kernel operator to TileGym.
NVIDIA/TileGym/converting-cutile-to-julia
Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents.
NVIDIA/TileGym/converting-cutile-to-triton
Converts cuTile GPU kernels (@ct.kernel) to Triton (@triton.jit).
NVIDIA/TileGym/cutile-autotuning
Use when adding, modifying, optimizing, or debugging CuTile autotuning code.
NVIDIA/TileGym/improve-cutile-kernel-perf
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning.
NVIDIA/TileGym/monkey-patch-kernels-to-transformers
Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' in...
NVIDIA/cuopt/cuopt-developer
Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI).
NVIDIA/cuopt/cuopt-install
Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification.
NVIDIA/cuopt/cuopt-numerical-optimization-api-c
LP, MILP, and QP (beta) with cuOpt — C API only.
NVIDIA/cuopt/cuopt-numerical-optimization-api-cli
LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli).
NVIDIA/cuopt/cuopt-numerical-optimization-api-python
Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Quadratic Programming (QP, beta) with the Python API.
NVIDIA/cuopt/cuopt-routing-api-python
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.
NVIDIA/cuopt/cuopt-server-api-python
cuOpt REST server — start server, endpoints, Python/curl client examples.
NVIDIA/cuopt/cuopt-server-common
cuOpt REST server — what it does and how requests flow.
NVIDIA/cuopt/cuopt-user-rules
Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server).
NVIDIA/cuopt/numerical-optimization-formulation
Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns.
NVIDIA/cuopt/routing-formulation
Vehicle routing (VRP, TSP, PDP) — problem types and data requirements.
NVIDIA/cuopt/skill-evolution
After solving a non-trivial problem, detect generalizable learnings and propose skill updates so future interactions benefit automatically.
NVIDIA/deepstream/deepstream-dev
NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API.
NVIDIA/deepstream/deepstream-import-vision-model
Use this skill to bring any vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engi...
NVIDIA/nemotron-voice-agent/nemotron-voice-agent-deploy
Deploy Nemotron Voice Agent on Workstation (x86), Jetson Thor, or Cloud NIMs.