Search: agent-skills
Search MCP servers and agent skills by name, description, category or topic — 545 results.
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.
NVIDIA/rag/rag-blueprint
"NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage.
NVIDIA/video-search-and-summarization/alerts
Manage and monitor VSS alerts after the alerts profile is deployed.
NVIDIA/video-search-and-summarization/deploy
Deploy, debug, or tear down any VSS profile using a compose-centric workflow — config (dry-run) with env overrides, review resolved compose, then compose up.
NVIDIA/video-search-and-summarization/report
Produce video analysis reports by discovering the deployed VSS agent, querying POST /generate for a timestamped captioned summary of the clip, then formatting the agent reply as th...
NVIDIA/video-search-and-summarization/rt-vlm
Use this skill when working with the RTVI VLM or RT-VLM microservice API on VSS 3.1.
NVIDIA/video-search-and-summarization/video-analytics
Query video analytics data and metrics from Elastic search via the VA-MCP server (port 9901).
NVIDIA/video-search-and-summarization/video-search
Search video archives using natural language — find events, objects, actions, and people across recorded video using fusion search (Cosmos Embed1 semantic search + CV attribute sea...
NVIDIA/video-search-and-summarization/video-summarization
Summarize a video by calling the VLM NIM or the Long Video Summarization (LVS) microservice directly.
NVIDIA/video-search-and-summarization/video-understanding
Call the vss agent to run video understanding on video to answer a text question.
NVIDIA/video-search-and-summarization/vios
Query VIOS REST APIs: sensor list, recording timelines, video clip extraction, snapshot capture, add/delete sensors and streams
NVIDIA/video-search-and-summarization/vss-frag
Generate video summary reports using the VSS video_search_frag extension with Long Video Summarization (LVS), Enterprise RAG knowledge retrieval, and human-in-the-loop parameter co...