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Search MCP servers and agent skills by name, description, category or topic — 2,830 results.
NVIDIA/Model-Optimizer/launching-evals
Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.
NVIDIA/Model-Optimizer/monitor
Monitor submitted jobs (PTQ, evaluation, deployment) on SLURM clusters.
NVIDIA/Model-Optimizer/ptq
This skill should be used when the user asks to "quantize a model", "run PTQ", "post-training quantization", "NVFP4 quantization", "FP8 quantization", "INT8 quantization", "INT4 AW...
NVIDIA/Model-Optimizer/release-cherry-pick
Cherry-pick merged PRs labeled for a release branch into that branch, then open a PR and apply the cherry-pick-done label.
NVIDIA/NeMo-Evaluator/byob
Create custom LLM evaluation benchmarks using the BYOB decorator framework.
NVIDIA/NeMo-Evaluator-Launcher/accessing-mlflow
Query and browse evaluation results stored in MLflow.
NVIDIA/NeMo-Evaluator-Launcher/launching-evals
Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.
NVIDIA/NeMo-Evaluator-Launcher/nel-assistant
Interactive config wizard for NeMo Evaluator Launcher (NEL).
NVIDIA/NeMo-Gym/add-benchmark
Guide for adding a new benchmark or training environment to NeMo-Gym.
NVIDIA/NeMo-Gym/nemo-gym-debugging
Use when debugging a Nemo Gym run or reward profiling job.
NVIDIA/NeMo-Gym/nemo-gym-docs
Maintain the NeMo Gym Fern docs site — add, update, move, or remove pages under fern/.
NVIDIA/NeMo-Gym/nemo-gym-pivot-datasets
Use when creating, validating, or documenting Nemo Gym pivot datasets from rollout, trajectory, chat-completion, Responses API, or tool-call artifacts.
NVIDIA/NeMo-Gym/nemo-gym-reward-profiling
Use to help users get started with Nemo Gym reward profiling.
NVIDIA/NeMo-RL/auto-research
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery.
NVIDIA/NeMo-RL/brev-etiquette
Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets.
NVIDIA/NeMo-RL/launch-nemo-rl
Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI.
NVIDIA/NeMo-RL/linting-and-formatting
Code style guidelines for NeMo-RL (Python and shell).
NVIDIA/NeMo-RL/review-pr
Interactive code review for NVIDIA-NeMo/RL pull requests.
NVIDIA/NeMo-RL/session-memory
Manage durable working-session memory for coding agents.
NVIDIA/NemoClaw/nemoclaw-contributor-create-pr
Create GitHub pull requests that follow the NemoClaw PR template.
NVIDIA/NemoClaw/nemoclaw-contributor-update-docs
Scan recent git commits for changes that affect user-facing behavior, then draft or update the corresponding documentation pages and refresh generated user skills for release prep.
NVIDIA/NemoClaw/nemoclaw-user-agent-skills
Describes the agent skills shipped with NemoClaw and how to access them by cloning the repository.
NVIDIA/NemoClaw/nemoclaw-user-configure-inference
Connects NemoClaw to a local inference server.
NVIDIA/NemoClaw/nemoclaw-user-configure-security
Presents a risk framework for every configurable security control in NemoClaw.
NVIDIA/NemoClaw/nemoclaw-user-deploy-remote
Explains how to run NemoClaw on a remote GPU instance, including the deprecated Brev compatibility path and the preferred installer plus onboard flow.
NVIDIA/NemoClaw/nemoclaw-user-get-started
Installs NemoClaw, launches a sandbox, and runs the first agent prompt.
NVIDIA/NemoClaw/nemoclaw-user-manage-policy
Adds, removes, or modifies allowed endpoints in the sandbox policy.
NVIDIA/NemoClaw/nemoclaw-user-manage-sandboxes
Explains operational tasks after the quickstart: listing sandboxes, status and health checks, logs, diagnostics, port forwards, multiple sandboxes, credential reset, rebuilds, netw...
NVIDIA/NemoClaw/nemoclaw-user-monitor-sandbox
Inspects sandbox health, traces agent behavior, and diagnoses problems.
NVIDIA/NemoClaw/nemoclaw-user-overview
Explains how OpenClaw, OpenShell, and NemoClaw form the ecosystem, NemoClaw's position in the stack, what NemoClaw adds beyond the community sandbox, and when to prefer NemoClaw ve...
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.