MLOps Lifecycle Manager
CommunityEnd-to-end ML lifecycle orchestration.
Data & Analytics#mlops#model-deployment#feature-store#experiment-tracking#model-monitoring#mlops-lifecycle#model-versioning
Authorwilliamzujkowski
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Manage ML model lifecycle from development to deployment with experiment tracking, versioning, monitoring, and automated retraining workflows.
Core Features & Use Cases
- Experiment tracking and configuration
- Model versioning and registry management
- Deployment design for batch/online/edge and governance
- Model monitoring and drift detection
- Automated retraining triggers and workflows
Quick Start
Set up a production-ready MLOps lifecycle that tracks experiments, versions models, deploys online, and enables monitoring and automated retraining.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: MLOps Lifecycle Manager Download link: https://github.com/williamzujkowski/cognitive-toolworks/archive/main.zip#mlops-lifecycle-manager Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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