Claude Code plugins
5 Plugins aus öffentlichen Claude Code marketplaces. Jedes bündelt Skills, Slash-Commands, Agents, Hooks oder MCP servers, die zusammen installiert werden.
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ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
Twelve MLSys-specific skills for machine-learning-and-systems conference submission strategy, grounded in the official MLSys 2026 Call for Research Papers, Industrial Track CFP, Call for Artifact Evaluations, and dates/organization pages.
academic
ML pipeline design, experiment tracking, model evaluation, training debugging, and reproducibility.
developer tools
Machine learning framework specialists for PyTorch, TensorFlow, and scikit-learn. Expert guidance for ML model development and training.
Design and improve human annotation programs for machine-learning training, validation, and evaluation data, including task and label schemas, active acquisition, annotator guidance, calibration, disagreement, adjudication, provenance, and cost-quality stopping. Do not use for general statistical inference, data storage pipelines, model training, or annotation-interface implementation; route those concerns to data-scientist, data-engineering, ml-engineering, or product-design-and-ux.