Verify Pipeline
Run a full health check across the MDS pipeline: ingestion (dlt/Airbyte) load status, BigQuery freshness per source, ingest reconciliation (source-vs-destination row counts), dbt model freshness, MCP server health, and raw-vs-staging row count integrity. Invoke when the user wants to confirm the pipeline is healthy or asks 'is everything working?
Add Source
Add a new data source (dlt pipeline, BigQuery native transfer, or on-prem database via Tailscale) to an existing Modern Data Stack. Invoke when the user wants to integrate a new SaaS, database, or Google service into the warehouse.
Agentic Data Engineer
A Claude Code harness that turns a session into an agentic data engineer for SMBs — packaged as an installable plugin, built from a skillpack of skills that stand up a cheap, self-hostable Modern Data Stack (Tailscale + dlt + BigQuery + dbt + optional MCP), end-to-end and headless.
Troubleshoot
Diagnose pipeline issues by reading logs and state across Airbyte, dbt, BigQuery, the VPS, and Tailscale. Invoke when verify-pipeline reports a failure, the user says 'something's broken', or a sync hasn't run.
Add Dbt Model
Add a new dbt model (staging, intermediate, or marts) to an existing MDS deployment. Invoke when the user wants to transform raw data, build an analytics table, or expose a new metric in BigQuery.
Create Mds
Build a Modern Data Stack (Tailscale + dlt + BigQuery + dbt-core + systemd timers + optional MCP) from scratch on a new VPS for a small or medium business. Invoke when the user wants to bootstrap data integration end-to-end.
Add Mcp Skill
Add a new BigQuery-backed skill to the MCP server: a tool exposed to AI agents plus the .md context files that describe the underlying data. Invoke when the user wants AI agents (claude.ai, Claude Code, Cursor) to query a new domain of the warehouse.