Overview
What It Does
Ml Pipeline Workflow packages a focused devops & cloud workflow for an AI agent. Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Task ideas
Popular Use Cases
- Inspect deployment or infrastructure state
- Automate a repeatable operations task
- Troubleshoot configuration and runtime issues
- Apply documented production practices
Installation
Install this Agent Skill
Claude Code
npx skills add https://github.com/wshobson/agents --skill ml-pipeline-workflowCommands derived from the public GitHub SKILL.md record. Checked 2026-09-02. Review the source before running them.
Before you start
Requirements
| Claude Code | Required / review |
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Popularity context
Why It’s Popular
Ml Pipeline Workflow is a verified Agent Skill from wshobson with a public SKILL.md, compatible with Claude Code, Codex.
Alternatives
