llm-ops - LLM-OPS for production AI operations
Supports production LLM operations including RAG, embeddings, vector databases, fine-tuning, prompt engineering, cost optimization, evaluations, and AI architectures.
Tags
Updated: 2026-10-01Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Implement RAG pipelines
- Create embedding pipelines
- Configure vector databases
- Apply fine-tuning workflows
- Engineer advanced prompts
- Optimize LLM costs
- Evaluate quality
- Design production AI architectures
- Preserve workflow provenance
- Select supporting source files
Inputs
- Project context
- Project requirements
- User task
- Upstream workflow files
- Provenance metadata
- Repository context
Outputs
- Workflow guidance
- Provenance notes
- File selection recommendations
- Quality evaluation
- Handoff recommendations
- Review summaries
Requirements
- Access to repository files
- Access to copied upstream files