Imported from jeremylongshore/tons-of-skills-marketplace (
skills/08-ml-deployment/tensorflow-serving-setup/SKILL.md). Install upstream withnpx skills add jeremylongshore/tons-of-skills-marketplace --skill tensorflow-serving-setup. Copyright stays with the author (MIT).
Tensorflow Serving Setup
Overview
This skill provides automated assistance for tensorflow serving setup tasks within the ML Deployment domain.
When to Use
This skill activates automatically when you:
- Mention "tensorflow serving setup" in your request
- Ask about tensorflow serving setup patterns or best practices
- Need help with machine learning deployment skills covering model serving, mlops pipelines, monitoring, and production optimization.
Instructions
- Provides step-by-step guidance for tensorflow serving setup
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with tensorflow serving setup" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml deployment concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| 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 |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the ML Deployment skill category. Tags: mlops, serving, inference, monitoring, production