| name | model-pruning-helper |
| description | Model Pruning Helper - Auto-activating skill for ML Deployment.
Triggers on: model pruning helper, model pruning helper
Part of the ML Deployment skill category.
|
| allowed-tools | Read, Write, Edit, Bash, Grep |
| version | 1.0.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
Model Pruning Helper
Purpose
This skill provides automated assistance for model pruning helper tasks within the ML Deployment domain.
When to Use
This skill activates automatically when you:
- Mention "model pruning helper" in your request
- Ask about model pruning helper 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 model pruning helper
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with model pruning helper"
- "Set up model pruning helper"
- "How do I implement model pruning helper?"
Related Skills
Part of the ML Deployment skill category.
Tags: mlops, serving, inference, monitoring, production
