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Weights & Biases
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run. | koaning/ | 145 | 1 repo | ~819 | Automated safety check: Notes | No licence | 6 mo ago |
| 2 | Guides an agent through tracking ML experiments with W&B: run logging, config capture, hyperparameter sweeps, artifacts and a model registry. | Orchestra-Research/ | 13k | 9 repos | ~3.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | 3.Compare Same-epoch comparison of training runs across wandb, neptune, tensorboard, or mlflow. | fcakyon/ | 415 | — | ~1.2k | Automated safety check: Pass | MIT | 25 days ago |
| 4 | 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/ | 195 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 5 | Manages biological datasets with LaminDB: versioned artifacts, run lineage, ontology-based annotation, schema validation and links to workflow managers and ML tools. | davila7/ | 33k | 12 repos | ~3.6k | Automated safety check: Pass | MIT | today |
| 6 | 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/ | 113 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 7 | 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/ | 13k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | 3 mo ago |
| 8 | Read, analyze, and manage Weights & Biases (wandb) experiment data for PithTrain runs. | mlc-ai/ | 355 | — | ~1.1k | Automated safety check: Warn | Apache-2.0 | yesterday |
| 9 | Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates. | Jeffallan/ | 12k | — | ~1.9k | Automated safety check: Pass | MIT | 7 days ago |
| 10 | WandB-specific PerforatedAI integration guardrail skill. An agent skill from PerforatedAI/PerforatedAI. | PerforatedAI/ | 237 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 11 | Azure Weights & Biases SDK for .NET. An agent skill from microsoft/skills. | microsoft/ | 3.1k | 5 repos | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 12 | 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/ | 301 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 13 | Build, test, and debug Hermes Agent RL environments for Atropos training. | Tommy-yw/ | 546 | — | ~3.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 14 | 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/ | 3.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 15 | Harvest experiment issue reports and curate docs/reports/index.md only when explicitly requested. | marin-community/ | 3.9k | — | ~645 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 16 | Monitor running experiments, check progress, collect results. | AI4Scientist/ | 128 | 4 repos | ~1.1k | Automated safety check: Pass | No licence | 4 mo ago |
| 17 | Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). | AI4Scientist/ | 128 | 3 repos | ~1.3k | Automated safety check: Notes | No licence | 4 mo ago |
| 18 | Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 19 | Strategic guidance for operationalizing machine learning models from experimentation to production. | ancoleman/ | 525 | — | ~9.2k | Automated safety check: Pass | MIT | 10 mo ago |
| 20 | 20.Sft Launch 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/ | 301 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 21 | Implement machine learning experiment tracking using MLflow or Weights & Biases. | jeremylongshore/ | 2.8k | — | ~954 | Automated safety check: Pass | MIT | yesterday |
| 22 | Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 23 | Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs. | AI4Scientist/ | 128 | 2 repos | ~1.1k | Automated safety check: Notes | No licence | 4 mo ago |
| 24 | Guide for experiment tracking tool setup (MLflow, Weights & Biases, etc.), reproducibility assurance, model registry, and experiment comparison methodology. | revfactory/ | 1.3k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 25 | Execute wandb experiment logger operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~575 | Automated safety check: Pass | MIT | yesterday |