ai-pipeline-orchestration
CommunityOrchestrate AI/ML workflows
AuthorBagelHole
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the creation and management of complex AI and Machine Learning workflows, ensuring reliable and observable data pipelines from ingestion to inference.
Core Features & Use Cases
- Workflow Orchestration: Define, schedule, and monitor multi-step AI/ML pipelines using tools like Prefect, Airflow, or Dagster.
- Data Ingestion & Processing: Automate recurring tasks like RAG document ingestion and re-indexing.
- Model Operations: Orchestrate model training, batch inference, and evaluation jobs.
- Use Case: Automate the daily ingestion of new documents into a RAG system, including chunking, embedding, and indexing into a vector store.
Quick Start
Use the ai-pipeline-orchestration skill to set up a daily RAG ingestion pipeline for the provided document sources.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ai-pipeline-orchestration Download link: https://github.com/BagelHole/DevOps-Security-Agent-Skills/archive/main.zip#ai-pipeline-orchestration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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