Weights & Biases agent skills for Claude Code, Codex and other agents.

Azure Weights & Biases SDK for .NET. An agent skill from microsoft/skills.

microsoft/skills

Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner.

NVIDIA/skills

Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning.

NVIDIA/skills

An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.

koaning/gitcharts

Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates.

Jeffallan/claude-skills

Guides an agent through tracking ML experiments with W&B: run logging, config capture, hyperparameter sweeps, artifacts and a model registry.

Orchestra-Research/AI-Research-SKILLs

Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow.

fcakyon/phd-skills

Produces ranked, evidence-grounded next steps when an ML experiment has stalled, drawing on a Leeroopedia knowledge base or on fetched docs and issues.

Leeroo-AI/superml

Manages biological datasets with LaminDB: versioned artifacts, run lineage, ontology-based annotation, schema validation and links to workflow managers and ML tools.

davila7/claude-code-templates

Walks through nanoGPT, Karpathy's compact GPT implementation: training on Shakespeare, reproducing GPT-2, fine-tuning GPT-2 checkpoints and training on your own text.

Orchestra-Research/AI-Research-SKILLs

Bring up the Lego-RL training dashboard (webui/) on whatever machine you are on, adapting to that box's layout instead of assuming this repo's paths.

LegoX/Lego-RL

Read, analyze, and manage Weights & Biases (wandb) experiment data for PithTrain runs.

mlc-ai/pith-train

WandB-specific PerforatedAI integration guardrail skill. An agent skill from PerforatedAI/PerforatedAI.

PerforatedAI/PerforatedAI

Monitor running experiments, check progress, collect results.

AI4Scientist/nano-scientist

Durably ARCHIVE everything informative from a finished run / experiment before it's cleaned up or its cluster artifacts age out — ALL Harbor tracejobs (raw per-trial traces), ALL ray logs, ALL…

open-thoughts/OpenThoughts-Agent

Build, test, and debug Hermes Agent RL environments for Atropos training.

Tommy-yw/RunbookHermes

Verify or complete a new internal Marin developer's local setup and access to GitHub, GCP, Iris, Weights & Biases, Hugging Face, and optional CoreWeave storage.

marin-community/marin

Strategic guidance for operationalizing machine learning models from experimentation to production.

ancoleman/ai-design-components

Harvest experiment issue reports and curate docs/reports/index.md only when explicitly requested.

marin-community/marin

Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs).

AI4Scientist/nano-scientist

Launch SFT via python -m hpc.launch --jobtype sft on any cluster (JSC Jupiter GH200, CINECA Leonardo A100, TACC Vista GH200), with EITHER backend — LLaMA-Factory (default) or axolotl (--sftbackend…

open-thoughts/OpenThoughts-Agent

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

AI4Scientist/nano-scientist

Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology.

revfactory/harness-100

MLflow, Weights & Biases 등 실험 추적 도구 설정, 재현성 보장, 모델 레지스트리, 실험 비교 방법론 가이드.

revfactory/harness-100

W&B expert: experiment tracking, hyperparameter search, artifact management, sweep, team dashboards, performance visualization.

theneoai/awesome-skills