ml-pipeline-automation

v3.9.0

Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.

CodexClaude Code1 Skill

By Claude Skills MaintainersLicense: MIT227 GitHub starsUpdated last week

Directory evidence

Runtimes: Codex and Claude Code
Parsed components: 1 skill or MCP entry
Source updated: Sep 28, 2026
Manifest status: Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install ml-pipeline-automation for Codex and Claude Code

Installs for the current user

codex plugin marketplace add secondsky/claude-skills
codex plugin marketplace upgrade claude-skills
codex plugin add ml-pipeline-automation@claude-skills

Paste and run these commands in a terminal with Codex. They add and refresh the claude-skills catalog, then install this plugin.

Compatibility: the page URL and API slug “ml-pipeline-automation” remain stable.

Codex: ml-pipeline-automation@agent-plugin-marketplace → ml-pipeline-automation@claude-skills

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually

$ git clone https://github.com/secondsky/claude-skills

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/ml-pipeline-automation/.

Plugin files

plugins/ml-pipeline-automation/

├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
└── skills/ml-pipeline-automation/SKILL.md

Included Skills1

ml-pipeline-automationskills/ml-pipeline-automation/SKILL.md

Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.

Plugin manifests2

plugins/ml-pipeline-automation/.codex-plugin/plugin.json

{
  "name": "ml-pipeline-automation",
  "version": "3.9.0",
  "description": "Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.",
  "author": {
    "name": "Claude Skills Maintainers",
    "email": "[email protected]"
  },
  "license": "MIT",
  "repository": "https://github.com/secondsky/claude-skills",
  "keywords": [
    "ml-pipeline-automation",
    "pipeline",
    "automation",
    "machine-learning",
    "llm",
    "artificial-intelligence"
  ],
  "skills": "./skills/",
  "interface": {
    "displayName": "ML Pipeline Automation",
    "shortDescription": "Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible",
    "longDescription": "Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.",
    "developerName": "Claude Skills Maintainers",
    "category": "AI & Machine Learning",
    "capabilities": [
      "Read",
      "Write"
    ],
    "defaultPrompt": [
      "Help me with ML Pipeline Automation.",
      "Show me best practices for ML Pipeline Automation.",
      "Guide me through using ML Pipeline Automation effectively."
    ]
  }
}

plugins/ml-pipeline-automation/.claude-plugin/plugin.json

{
  "name": "ml-pipeline-automation",
  "description": "Automate ML workflows with Airflow, Kubeflow, MLflow. Use for reproducible pipelines, retraining schedules, MLOps, or encountering task failures, dependency errors, experiment tracking issues.",
  "version": "3.9.0",
  "author": {
    "name": "Claude Skills Maintainers",
    "email": "[email protected]"
  },
  "license": "MIT",
  "repository": "https://github.com/secondsky/claude-skills",
  "keywords": [
    "ml-pipeline-automation",
    "pipeline",
    "automation",
    "machine-learning",
    "llm",
    "artificial-intelligence"
  ]
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[ml-pipeline-automation on Agent Plugins Marketplace](https://pluginsmp.com/plugins/ml-pipeline-automation)