AI Pipeline Orchestration

Build reliable, observable AI workflows — from document ingestion to batch inference to model training pipelines.

When to Use This Skill

Use this skill when:

• Scheduling recurring RAG document ingestion and re-indexing
• Orchestrating multi-step batch LLM processing workflows
• Running nightly model evaluation and fine-tuning jobs
• Building ETL pipelines that feed into AI models
• Managing dependencies between data preparation and model serving

Execution contract

These are application design fragments: adapters, datasets, model files, secrets, vector schemas and deployment handlers are not bundled. Pin supported framework/provider versions, select the actual target and permissions, and authorize schedules, provider charges and writes separately. Use synthetic fixtures first; preserve private data, validate fetched sources, and persist versioned checkpoints to avoid repeating side effects.

Tool Selection