Search: agentic
Search MCP servers and agent skills by name, description, category or topic — 333 results.
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...
foryourhealth111-pixel/Vibe-Skills
A skills governed plug-and-play harness for staged, test-driven skill orchestration
mariocandela/beelzebub
Beelzebub is a honeypot framework that lets you build honeypot tools using MCP. Its purpose is to detect prompt injection or malicious agent behavior. The underlying idea is to provide the agent with tools it would never use in its normal work.
idosal/git-mcp
[gitmcp.io](https://gitmcp.io/) is a generic remote MCP server to connect to ANY [GitHub](https://www.github.com) repository or project for documentation
mnemox-ai/tradememory-protocol
Structured 3-layer memory system (trades → patterns → strategy) for AI trading agents. Supports MT5, Binance, and Alpaca.