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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create. | huggingface/ | 11k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 2 | 2.Py Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC. | crazyguitar/ | 8.2k | — | ~886 | Automated safety check: Pass | MIT | yesterday |
| 3 | Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs. | huggingface/ | 11k | 2 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 4 | Operates the Inspire ML platform through its local `inspire` CLI: picking account, workspace and resources, launching notebooks, jobs and services, then cleaning up. | realZillionX/ | 549 | — | ~1.4k | Automated safety check: Pass | MIT | 10 days ago |
| 5 | Deploys SageMaker endpoints with autoscaling, CloudWatch alarms and tags on by default, using scripts for real-time, scale-to-zero and async setups. | huggingface/ | 11k | 1 repo | ~6.9k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 6 | 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 repo | ~1.9k | Automated safety check: Pass | MIT | 4 days ago |
| 7 | Guides an agent through tracking ML experiments with W&B: run logging, config capture, hyperparameter sweeps, artifacts and a model registry. | Orchestra-Research/ | 13k | 10 repos | ~3.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 8 | Amazon SageMaker AI Operational Review. An agent skill from aws/tools-for-devops-agent. | aws/ | 100 | 1 repo | ~3.9k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | Runs ML training and batch jobs across clouds with SkyPilot, using spot instances, automatic region selection and managed recovery to cut GPU cost. | Orchestra-Research/ | 13k | 4 repos | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 10 | Deploys open models or custom weights from Model Garden to Agent Platform endpoints, checks deployment status and cleans up endpoints, confirming before any change. | google/ | 21k | — | ~5k | Automated safety check: Pass | Apache-2.0 | today |
| 11 | Register a new AI model in DroidGear's model registry by fetching specs from models.dev. | Sunshow/ | 127 | — | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 12 | Guides an agent through designing an MLOps pipeline that covers data preparation, training, validation and deployment, with DAG orchestration and reference guides. | wshobson/ | 40k | 13 repos | ~1.8k | Automated safety check: Pass | MIT | 3 days ago |
| 13 | Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis. | NVIDIA/ | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 14 | Declare the pipeline from data source to predictor as a skrub DataOps graph. | probabl-ai/ | 137 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | today |
| 15 | Sets up and maintains AzureML-ready Python projects as uv workspaces with devcontainers, a Makefile and job YAML, so local runs match cloud jobs and experiments stay reproducible. | Kilo-Org/ | 190 | — | ~3.1k | Automated safety check: Notes | MIT | 9 days ago |
| 16 | Evaluate one learner with skore.evaluate. An agent skill from probabl-ai/skills. | probabl-ai/ | 137 | — | ~4.3k | Automated safety check: Pass | BSD-3-Clause | today |
| 17 | Guide to renting GPUs on Lambda Labs for ML training and inference: on-demand instances, 1-Click Clusters, SSH access, persistent filesystems and alternatives. | Orchestra-Research/ | 13k | 5 repos | ~3k | Automated safety check: Warn | MIT | 3 mo ago |
| 18 | Tracks ML experiments, versions models in the MLflow registry and covers deployment and reproducibility, with autologging for common frameworks. | Orchestra-Research/ | 13k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 19 | 19.Edit how to use the edit command properly | omegaml/ | 107 | — | ~206 | Automated safety check: Pass | Apache-2.0 | today |
| 20 | World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. | davila7/ | 32k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | today |
| 21 | Read-only audit of one persisted skore report: audit/NN<stem.py (jupytext percent), 1:1 with experiments/ and journal/. | probabl-ai/ | 137 | — | ~9.4k | Automated safety check: Pass | BSD-3-Clause | today |
| 22 | Azure Machine Learning SDK v2 for Python. An agent skill from microsoft/skills. | microsoft/ | 3.1k | 6 repos | ~2.2k | Automated safety check: Pass | MIT | yesterday |
| 23 | ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. | alirezarezvani/ | 28k | 2 repos | ~2.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 24 | Azure Weights & Biases SDK for .NET. An agent skill from microsoft/skills. | microsoft/ | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | yesterday |
| 25 | OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA. | oracle/ | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 26 | 26.ML Engineer Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps | RightNow-AI/ | 18k | — | ~987 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 27 | Build, test, and debug Hermes Agent RL environments for Atropos training. | Tommy-yw/ | 546 | — | ~3.3k | Automated safety check: Pass | MIT | 4 mo ago |
| 28 | Establish model registry standards, governance controls, metadata schemas, approvals, and lifecycle policies for enterprise AI deployments. | sickn33/ | 47k | 2 repos | ~3.9k | Automated safety check: Pass | MIT | today |
| 29 | Strategic guidance for operationalizing machine learning models from experimentation to production. | ancoleman/ | 526 | 1 repo | ~9.2k | Automated safety check: Pass | MIT | 10 mo ago |
| 30 | Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. | aiskillstore/ | 430 | 8 repos | ~2.8k | Automated safety check: Pass | No licence | today |
| 31 | 31.Nemo Curator Curate LLM training data: dedupe, filter, PII redaction. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 139 | 2 repos | ~2.6k | Automated safety check: Pass | MIT | today |
| 32 | Agent Platform Model Registry Management. An agent skill from google/skills. | google/ | 21k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 33 | Copy skore reports between local, Hub, and MLflow with skore sync, and optionally switch the recorded upload destination. | probabl-ai/ | 137 | — | ~1.6k | Automated safety check: Pass | BSD-3-Clause | today |
| 34 | Use during planning, implementation, PR review, or /qv-qip-triage when a change may affect public SDK API, native dependency, plugin contract, model registry contract, runtime, transport, storage… | tetherto/ | 681 | — | ~746 | Automated safety check: Pass | Apache-2.0 | today |
| 35 | Design and implement a complete ML pipeline for: $ARGUMENTS. An agent skill from aiskillstore/marketplace. | aiskillstore/ | 430 | 8 repos | ~2.6k | Automated safety check: Pass | No licence | today |
| 36 | Speed up long-sequence transformer training and inference. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 139 | 1 repo | ~2.7k | Automated safety check: Pass | MIT | today |
| 37 | 37.Guidance Constrain LLM output with grammars; guarantee valid JSON. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 139 | 1 repo | ~3.8k | Automated safety check: Pass | MIT | today |
| 38 | 38.Modal Serverless GPU cloud for ML jobs and model APIs. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 139 | 1 repo | ~2.3k | Automated safety check: Pass | MIT | today |
| 39 | 39.Saelens Train sparse autoencoders to interpret model features. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 139 | 1 repo | ~3.7k | Automated safety check: Pass | MIT | today |
| 40 | 40.Simpo Reference-free preference alignment, simpler than DPO. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 139 | 1 repo | ~1.4k | Automated safety check: Pass | MIT | today |
| 41 | 41.Slime RL post-training for LLMs with Megatron and SGLang. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 139 | 1 repo | ~2.7k | Automated safety check: Pass | MIT | today |
| 42 | Read-only health check that a brand profile is production-ready: required fields, voice and audience completeness, guardrails, compliance-jurisdiction coverage, connector configuration and MCP… | indranilbanerjee/ | 855 | 1 repo | ~3.3k | Automated safety check: Notes | MIT | 4 days ago |
| 43 | Execute feature store connector operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | 1 repo | ~574 | Automated safety check: Pass | MIT | today |
| 44 | Manage model registry manager operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | 1 repo | ~569 | Automated safety check: Pass | MIT | today |
| 45 | Automate ML workflows with Airflow, Kubeflow, MLflow. An agent skill from secondsky/claude-skills. | secondsky/ | 227 | 1 repo | ~3.2k | Automated safety check: Pass | MIT | 9 days ago |
| 46 | Deploy production recommendation systems with feature stores, caching, A/B testing. | secondsky/ | 227 | 1 repo | ~3.6k | Automated safety check: Pass | MIT | 9 days ago |
| 47 | Neo4j Graph Data Science (GDS) embedded plugin via Python client or Cypher — covers graphdatascience client 2.x, GraphDataScience, gds.graph.project.native, gds.graph.project.cypher, snakecase… | neo4j-contrib/ | 114 | — | ~5k | Automated safety check: Notes | MIT | yesterday |
| 48 | Execute use when provisioning Vertex AI infrastructure with Terraform. | jeremylongshore/ | 2.8k | — | ~709 | Automated safety check: Pass | MIT | today |