proagent-ml-ai
By diegouis
Provectus ML & AI practice plugin for model training, inference optimization, MLOps pipelines, experiment tracking, prompt engineering, embeddings, vector stores, LLM application development, RAG systems, knowledge graph integration (Graphiti), meta-prompting frameworks, LLM judge evaluation, and AWS AI services (SageMaker, Bedrock).
npx claudepluginhub diegouis/provectus-marketplace --plugin proagent-ml-aiComponent Overview
Component Details
Commands (3)
Overview of all ML & AI capabilities: model training, feature engineering, experiment tracking, deployment, LLM applications, and MLOps.
Review ML artifacts: model architecture, training pipeline, inference optimization, and data quality.
Execute ML/AI operations: train-model, build-pipeline, setup-experiment, create-embedding, deploy-model, build-knowledge-graph, create-meta-prompt, evaluate-with-judge, or validate-pipeline.
Hooks (1)
MCP Servers (5)
README
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Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
External network access
Connects to servers outside your machine
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