---
name: tensorflow-serving-setup
description: |
Tensorflow Serving Setup - Auto-activating skill for ML Deployment.
Triggers on: tensorflow serving setup, tensorflow serving setup
Part of the ML Deployment skill category.
allowed-tools: Read, Write, Edit, Bash, Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <[email protected]>
---
# Tensorflow Serving Setup
## Purpose
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.
## Capabilities
- 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
## Example Triggers
- "Help me with tensorflow serving setup"
- "Set up tensorflow serving setup"
- "How do I implement tensorflow serving setup?"
## Related Skills
Part of the **ML Deployment** skill category.
Tags: mlops, serving, inference, monitoring, production