From jeremylongshore-claude-code-plugins-plus-skills
Generates Flask APIs for ML model serving and deployment, including MLOps pipelines, inference, monitoring, and production configurations with step-by-step guidance.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for flask ml api creator tasks within the ML Deployment domain.
Configures FastAPI endpoints for ML model serving, inference, MLOps pipelines, monitoring, and production optimization. Generates production-ready code and best practices for ML deployment APIs.
Guides Flask web app development including routing, Jinja2 templates, blueprints, extensions like SQLAlchemy and Login, REST APIs, and Gunicorn deployment.
Deploys trained ML models to production via REST APIs, Docker containers, Kubernetes clusters, with data validation, error handling, and performance monitoring.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for flask ml api creator tasks within the ML Deployment domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with flask ml api creator" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production