Creates end-to-end ML training pipelines with data preprocessing, model selection, and evaluation
Scanned 9/8/2026
Install to Claude Code
npx -y skills add Eli-yu-first/skillshub --skill Model-Training-Pipeline --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: "Model Training Pipeline"
author: "mlpipeai"
version: "1.0.0"
type: "workflow"
category: "Machine Learning"
license: "MIT"
description: "Creates end-to-end ML training pipelines with data preprocessing, model selection, and evaluation"
tags:
- workflow
- machine-learning
- ai
- automation
models:
- gpt-4o
- claude-3.5-sonnet
- gemini-1.5-pro
parameters:
temperature:
type: number
default: 0.7
min: 0
max: 2
description: "Controls randomness in output generation"
max_tokens:
type: integer
default: 4096
min: 256
max: 16384
description: "Maximum number of tokens to generate"
streaming:
type: boolean
default: false
description: "Enable streaming output"
inputs:
query:
type: string
required: true
description: "Primary input for the skill"
context:
type: object
required: false
description: "Additional context for processing"
outputs:
result:
type: string
description: "Primary output from the skill"
metadata:
type: object
description: "Execution metadata including tokens used and latency"
---
# Model Training Pipeline
Creates end-to-end ML training pipelines with data preprocessing, model selection, and evaluation
## Usage
This skill can be used standalone or as part of an Agent workflow on SkillsHub.
### Standalone
```
skillshub run mlpipeai/Model-Training-Pipeline --input "Your query here"
```
### In Agent
Add this skill to your Agent configuration to enable its capabilities.
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