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Databricks MLflow Workflow

databricks-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Guides ML engineers through the Databricks secondary workflow that links Feature Store engineering, MLflow experiment tracking, model registry versioning, and serving so production-grade models can be trained and deployed.

LangChain Reference Architecture

langchain-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

Provides production-ready LangChain architectural patterns, covering layered services, LLM provider abstraction, chain registry, RAG flows, and multi-agent orchestration for scalable enterprise apps.

Model Registry Manager

model-registry-manager

jeremylongshore/claude-code-plugins-plus-skills

Automates guidance for model registry manager tasks within ML deployment, covering serving, MLOps pipelines, monitoring, and production optimization whenever that trigger phrase appears.

Model Version Tracker

tracking-model-versions

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to manage AI/ML model versions through the model-versioning-tracker plugin, automating logging, lineage tracking, performance summaries, and version retrieval whenever users request registry or deployment support.

Agent Orchestration Manager

agent-orchestrator

sickn33/antigravity-awesome-skills

Central orchestrator for multi-agent skills that automatically scans registries, matches capabilities to queries, sequences workflows, and keeps the registry synchronized to coordinate complex requests.

Prompt Governance Toolkit

prompt-governance

alirezarezvani/claude-skills

Helps teams treat prompts like production code by providing registry, eval, and governance workflows for versioning, testing, and promoting prompts safely across environments.

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