Implement and extend PostHog Data warehouse import sources. Use when adding a new source under products/warehousesources/backend/temporal/dataimports/sources, adding datasets/endpoints to an existing source, or adding incremental sync, resumable imports, webhook ingestion, pagination, credentials validation, and…
Plan and execute product isolation migrations to a facade plus contract layer in PostHog, following the Visual review architecture. Use when a product still exposes internals (models/logic/views) across boundaries and needs migration toward contracts.py + facade/api.py + presentation separation, with a PR strategy…
Guide for using the Grafana MCP to monitor and diagnose the Node.js ingestion pipeline workers in production. Use when investigating event lag, drops, pipeline errors, person/group processing, Kafka consumer health, Redis, Postgres, ClickHouse downstream health, or any ingestion worker question. Covers prod-us and…
Generate a Wren MDL manifest from a database using ibis-server metadata endpoints. Use when a user wants to create or set up a new Wren MDL, scaffold a manifest from an existing database, or onboard a new data source without installing any database drivers locally.
Interact with Wren Engine MCP server via plain HTTP JSON-RPC requests — no MCP client SDK required. Covers session initialization, tool discovery, and calling all 20+ Wren tools (query, deploy, metadata, health check) using standard HTTP POST with JSON-RPC 2.0 payloads. Use when the client cannot or prefers not to use…
Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analysis. Guides the user through the full flow: install dlt, pick a SaaS source, set up credentials, run the data pipeline into DuckDB, then auto-generate a Wren semantic project from the loaded data. Use this skill whenever…
Scaffolds a complete dbt-fabric project for a Fabric Data Warehouse: generates profiles.yml, dbtproject.yml, a column-rich sources.yml (with data types for every table column, ready for dbt contracts), requirements.txt, and .gitignore, then writes them to the local filesystem. Use when the user asks to "set up dbt"…
Analyzes query performance on a Fabric Data Warehouse: captures the estimated execution plan, inspects query insights history, identifies costly operators and missing or stale statistics, inspects data-clustering columns, and proposes or applies optimizations. Use when the user asks to "optimize a query", "why is my…
Investigates the performance of an ENTIRE Fabric Data Warehouse (warehouse-wide, not a single query): surfaces long-running and frequent queries, reads SQL pool resource-pressure insights, audits statistics health, checks result-set caching, reviews and tunes SQL pool configuration, and produces a prioritized findings…
Schema rules for ERD Studio data model files — the .erd-studio/ directory uses a two-file system (YAML model definitions + JSON domain diagrams) with strict format rules you must read before editing. Use this skill whenever the task touches files in .erd-studio/ (domain JSON, logical-models YAML, or .sync-plan.json)…
Audit SQL for the cost & performance anti-patterns that burn warehouse credits. Catches SELECT , full-table scans, non-sargable predicates, Cartesian joins, NULL-trap NOT IN, and 17 more rules. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres.