From jeremylongshore-claude-code-plugins-plus-skills
Creates production-ready Flask APIs for ML model deployment with step-by-step guidance, covering model serving, MLOps pipelines, monitoring, and best practices.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jeremylongshore-claude-code-plugins-plus-skills:flask-ml-api-creatorThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides automated assistance for flask ml api creator tasks within the ML Deployment domain.
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
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skillsGuides FastAPI ML endpoint setup, model serving, and production deployment with step-by-step instructions and best practices.
Deploys trained ML models to production via REST APIs, Docker containers, Kubernetes clusters, with data validation, error handling, and performance monitoring.
Builds production ML systems with PyTorch 2.x, TensorFlow, and modern frameworks for model serving, feature engineering, A/B testing, monitoring, and infrastructure.