ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
/plugin marketplace add wshobson/agents
/plugin install machine-learning-ops@wshobson/agents
Design and implement a complete ML pipeline for: $ARGUMENTS
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
Streamline your git workflow with simple commands for committing, pushing, and creating pull requests
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review