cookiecutter-mlops-package
🥈SilverCookiecutter-mlops-package automates the creation of Python packages and Docker images for MLOps tasks. Operations teams benefit from standardized templates for deploying machine learning models. It connects to CI/CD pipelines and container orchestration tools like Kubernetes.
439560Updated 2w ago
Intermediate30min to implementautomation
Saves ~120 min per use
Quick InstallView Source
git clone https://github.com/fmind/cookiecutter-mlops-package.gitWorks with:
Claude
Overview
About This Skill
https://cookiecutter.readthedocs.io/
How to Use
["1. Install cookiecutter-mlops-package using pip: `pip install cookiecutter-mlops-package`.","2. Run the cookiecutter command to generate a new project: `cookiecutter-mlops-package`.","3. Follow the prompts to customize the template for your project. Make sure to specify the CI/CD tool and container orchestrator you plan to use.","4. Review the generated project structure and make any necessary adjustments to the configuration files.","5. Use the generated Dockerfile and Kubernetes deployment files to deploy your model to your chosen container orchestrator."]
Use Cases
Quickly scaffold a new MLOps project with a predefined structure and best practices.
Automate the testing and quality checks of your machine learning code using integrated workflows.
Build and deploy Docker images for your MLOps applications seamlessly.
Manage dependencies and project tasks using PyInvoke for a more efficient development workflow.
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/fmind/cookiecutter-mlops-packageRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Generate a cookiecutter-mlops-package template for a [PROJECT_NAME] that includes [SPECIFIC_FEATURES]. Ensure the template supports [CI/CD_TOOL] integration and includes Dockerfile configurations for [CONTAINER_ORCHESTRATOR].
Example Output
The cookiecutter-mlops-package template for the 'Customer Churn Prediction' project has been successfully generated. The template includes the following features: 1. **Project Structure**: The template sets up a standardized directory structure with folders for data, models, tests, and documentation. 2. **CI/CD Integration**: The template includes configuration files for GitHub Actions, which will automate the building, testing, and deployment of the model. 3. **Docker Configuration**: The template includes a Dockerfile that specifies the base image, dependencies, and commands to run the model. It also includes a docker-compose.yml file for local development and testing. 4. **Kubernetes Deployment**: The template includes Kubernetes deployment and service YAML files, which will be used to deploy the model to a Kubernetes cluster. 5. **Monitoring and Logging**: The template includes configuration files for Prometheus and Grafana, which will be used to monitor the model's performance and log its predictions. The template also includes a README file with instructions for setting up the project, running tests, and deploying the model. The template is ready to be customized and used for the 'Customer Churn Prediction' project.
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