software-engineering

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

GitHub review, comment handling, and CI triage workflows with approval-gated write actions.

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

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

Core developer workflow skills: planning, execution, communication, and powerup discovery.

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

Quality gates for spec-driven development: adversarial plan verification and structured code review.

Search-first codebase understanding, context retrieval, mapping, pattern detection, and living project intelligence.

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

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