agent-evaluation-lab

Analytics engineering, dbt patterns, BigQuery optimization, data quality, and pipeline workflows.

Security review guidance for agent configs, MCP and filesystem exposure, red-team scenarios, and audit prompts.

Safe refactoring, dead-code removal, legacy modernization, and dependency hygiene.

Error diagnosis, fault isolation, log forensics, and incident investigation.

Multi-model orchestration and advisor routing: tri-model review and canonical advisor routing.

Workflow-first MCP server design with schema-first tools, context-aware outputs, and evaluation discipline.

Review-first runbooks for connected-app workflows and multi-system deployment sequencing.

Graph-backed memory and context optimization workflows with graphify first and document conversion helpers second.

ML pipeline design, experiment tracking, model evaluation, training debugging, and reproducibility.

Context-efficient routing: dispatch tables for workflow, review, and codebase-intelligence commands.