ml-pipeline-workflow
๐ฏSkillfrom wshobson/agents
|A production-ready plugin system with 112 AI agents, 146 skills, 16 workflow orchestrators, and 79 development tools organized into 73 focused plugins for Claude Code.
Overview
ML Pipeline Workflow is a specialized agent skill within the wshobson/agents plugin ecosystem for Claude Code. It belongs to a production-ready system of 112 specialized AI agents, 146 agent skills, and 79 development tools organized into 73 focused plugins. The skill provides expertise on machine learning pipeline workflow design through progressive disclosure, loading knowledge only when activated.
Key Features
- Progressive Disclosure - Loads ML pipeline knowledge only when the skill is activated for minimal context overhead
- Data/AI Domain Expertise - Part of the data and AI category covering end-to-end ML pipeline orchestration
- Multi-Agent Orchestration - Integrates with 16 workflow orchestrators specifically designed for complex ML pipeline operations
- Composable Design - Can be combined with data quality, feature engineering, and model deployment plugins for comprehensive ML workflows
- Marketplace Installation - Available through the wshobson/agents marketplace for selective plugin loading
Who is this for?
This skill is designed for ML engineers and data scientists who need AI-assisted guidance on designing and implementing machine learning pipeline workflows. It is particularly useful for teams building production ML systems that require structured pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
Part of
wshobson-agents
Installation
npx vibeindex add wshobson/agents --skill ml-pipeline-workflownpx skills add wshobson/agents --skill ml-pipeline-workflow~/.claude/skills/ml-pipeline-workflow/SKILL.mdSKILL.md
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