nooa-agentdoc
Make NVIDIA OO agent types render beautiful documentation for the LLM — doc(), spec(), hidden, Annotated field descriptions, and pformat/pprint tuning. Use…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-12 00:15
Agents & models
26,180 results
nooa-capturing-traces
Capture execution traces from NVIDIA OO Agents. Use when instrumenting an agent run, writing traces to JSONL files, sending traces to the viewer or an…
nooa-context-and-state
Manage what a NVIDIA OO agent sees and remembers — context blocks, event history and queries, history summarization, and persistent memory/storage. Use when…
nooa-self-extending
Let NVIDIA OO agents extend themselves — persistent skill libraries the agent writes and hot-reloads (SkillWriting / self.libs, LibraryManager), in-cell helper…
nooa-trace-explorer
Analyze NVIDIA OO Agents execution traces programmatically with the trace-explorer CLI and Python API. Use when debugging why an agent run failed, inspecting…
nooa-trace-viewer
Run and use the NVIDIA OO Agents trace viewer — the web UI + OTLP receiver for browsing agent traces and eval results. Use when starting the viewer,…
refine-agent-prompt
Render and refine the system prompt of a nooa agent. Use when the user wants to inspect, debug, or improve an agent's prompt, context blocks, or tool…
create-model-verification-card
Create or update concise, agent-readable Megatron Bridge model verification cards. Use when adding a model support card, auditing cross-model convergence…
nemo-mbridge-mlm-bridge-training
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
nemo-mbridge-perf-expert-parallel-overlap
Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex…
nemo-mbridge-perf-moe-long-context
Long-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and…
nemo-mbridge-resiliency
Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.
resiliency
Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine. Use when the…
review-pr
Structured single-agent code review workflow for PRs, commits, and local diffs. Use when asked to review code, understand a PR, rubber duck a change, prepare…
cosmos-automl
Optimize Cosmos Framework reasoner SFT hyperparameters or evaluation prompts with bounded AutoML. Use for numerical, multi-fidelity, population or LLM-guided…
cosmos3-nano-sim-auto-inference
Prepare inputs or run Cosmos3-Nano-Sim-Auto camera-only or joint camera/LiDAR generation with a released or exported student in Cosmos Framework. Check causal…
cosmos3-nano-sim-auto-post-training
Distill Cosmos3-Nano-Transfer-Auto into Cosmos3-Nano-Sim-Auto using customer RGB, WSM, captions and LiDAR in Cosmos Framework. Covers TF, TF-dCM, SF-DMD,…
cosmos3-nano-sim-auto-troubleshooting
Diagnose Cosmos3-Nano-Sim-Auto input, causal inference, distillation, checkpoint and export failures in Cosmos Framework. Check camera mapping, captions,…
cosmos3-nano-sim-bimanual-inference
Generate action-conditioned video with Cosmos3 Nano Sim Bimanual in Cosmos Framework. Download the matched release, prepare RGB and action inputs, run…
cosmos3-nano-sim-bimanual-post-training
Train Cosmos3 Nano Sim Bimanual from Cosmos3-Nano with Cosmos Framework's four native stage TOMLs and a local training bundle. Covers data preparation,…
cosmos3-nano-sim-bimanual-troubleshooting
Diagnose Cosmos3 Nano Sim Bimanual setup, data, training, checkpoint, inference, and evaluation failures by locating the first broken product contract. Use…
cosmos3-nano-sim-transfer-post-training
Prepare aligned spatial controls, RGB targets and captions for Cosmos3-Nano-Sim-Transfer; run native Cosmos Framework Stage 0–3 training with local assets;…
cosmos3-nano-sim-transfer-troubleshooting
Diagnose Cosmos3-Nano-Sim-Transfer setup, checkpoint loading, media alignment, training-state and output failures in an existing workflow.
cosmos3-nano-transfer-auto-inference
Prepare or run Cosmos3-Nano-Transfer-Auto in Cosmos Framework on camera WSM controls and per-view captions, with optional initial RGB and joint LiDAR. Use for…