Agent Skills

OSMO CLI Agent

osmo

Manage OSMO cloud compute: check pools, GPUs, quotas, submit and monitor workflows, inspect logs, and create apps using the OSMO CLI.

ROCm Triton Kernels (RMSNorm, RoPE 3D, GEGLU, AdaLN)

kernels

Guidance and examples for writing, benchmarking, and integrating optimized Triton kernels on ROCm (MI355X, R9700) for diffusers and transformers workloads.

cuEquivariance Torch (cuet)

cuequivariance

PyTorch GPU-accelerated equivariant tensor primitives and layers (SegmentedPolynomial, tensor products, spherical harmonics, equivariant linear layers) for buil

Terradev — Cross‑Cloud GPU Provisioning

Terradev

Provision and manage GPUs across clouds, create GPU Kubernetes clusters, deploy inference endpoints, and burst local compute to cloud with BYOAPI credential saf

SparkJS - 3D Gaussian Splat Renderer

sparkjs-skill

Tools and guidance for building, editing, and optimising 3D Gaussian splat scenes in the browser using SparkJS and Three.js.

vLLM-Omni Video Generation

vllm-omni-skills

Generate videos (text→video, image→video, text+image→video) using vLLM-Omni and Wan2.2-style diffusion models, with guidance on parameters and performance trade

MaxText Performance Analysis

maxtext-slurm

A post-training analysis workflow that uses TGS tagging, TraceLens, and IRLens to diagnose model training performance, GPU utilization, and kernel-level hotspot

Sub-Agents (Parallel Agent Orchestration)

modal-auto-research-skills

Orchestrate multiple autonomous Claude Code agents across separate GPUs or sandboxes to run parallel experiments, debugging sessions, or batch workloads with st

MoE Expert-Parallel Overlap (Megatron-Bridge)

skills

Guidance and configs to enable expert-parallel communication overlap in Megatron-Bridge for MoE models — use to hide dispatch/combine latency and improve throug

CV Model Training

cv-train-stack

Review, run, validate and audit computer vision model training with checks for dataset quality, preprocessing consistency, augmentation, and deployment validati

NVIDIA NIM Model Caller

openclaw-nim-skill

Call NVIDIA NIM-hosted LLMs from OpenClaw to offload heavy model work and conserve main-agent tokens.

MoE Expert-Parallel Overlap

megatron-bridge

Guides enabling and validating MoE expert-parallel communication overlap in Megatron-Bridge to hide dispatch/combine latency and improve throughput.

HPC Python Patterns

claude-skill-registry

Guidance and patterns for Python parallelism and GPU/CPU performance: threading vs multiprocessing vs asyncio, CUDA streams, PyTorch DDP, and benchmarking.

Run LLMs Locally (Harbor)

harbor

Deploy, configure, and troubleshoot a full local LLM stack (Ollama, llama.cpp, vLLM, Open WebUI, SearXNG, Open Terminal) using the Harbor toolkit.