Airflow DAG Patterns
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and…
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Trust your numbers. Analytics and tracking setup, data pipelines, AI-powered search over your own data, and dashboards that answer the question instead of decorating it.
The common thread is never trusting a single number. Most "GA4 is wrong" cases turn out to be a setup problem, so checking two sources against each other is the default habit here. The search-and-retrieval parts come straight from the memory system we run ourselves.
25 skills · 1 agents · 1 mcp connectors
There is no kit; start from the symptom. Numbers you don’t trust? Begin with Analytics Tracking and Data Quality Frameworks. Reports nobody reads? Start with Data Storytelling.
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and…
Set up, improve, or audit analytics tracking and measurement.
Brain hafiza katmaninda entity-relationship graph kurarak Microsoft GraphRAG mimarisi uygular.
Analytics and data query patterns for metrics, dashboards, reports, KPIs, and funnel analysis
Implement data quality validation with Great Expectations, dbt tests, and data contracts.
Transform data into compelling narratives using visualization, context, and persuasive…
Execute database migrations across ORMs and platforms with zero-downtime strategies, data…
Master dbt (data build tool) for analytics engineering with model organization, testing…
Select and optimize embedding models for semantic search and RAG applications.
Official Firecrawl CLI skill for web scraping, search, crawling, and browser automation.
Create and manage production Grafana dashboards for real-time visualization of system and…
Design effective KPI dashboards with metrics selection, visualization best practices, and…
MCP veri araclari (GSC, GA4, Google Ads Keyword Planner) dogru kullanim kilavuzu.
PostgreSQL + pgvector uzerine uctan uca RAG pipeline chunking (recursive 1024/256 overlap vs…
Design a PostgreSQL-specific schema.
Product event tracking instrumentation skill
Build read models and projections from event streams.
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases…
Playwright MCP kullanarak canli web sayfasinda GA4 dataLayer event'lerinin runtime fire edip…
Implement efficient similarity search with vector databases.
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning.
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically…
Direct Supabase Postgres operations via `mcp__postgres__*` RLS policy audit, migration…
Postgres performance optimization and best practices from Supabase.
Optimize vector index performance for latency, recall, and memory.
Supabase/Postgres schema, RLS and API engineer
GA4 reporting and configuration
With Analytics Tracking: it audits what fires, what double-counts and what never arrives. Most “GA4 is wrong” cases are wiring, not the tool, the skill finds the broken joint before you rebuild dashboards on it.
Yes, this is the shelf our own memory system came from. Brain Graphrag Entity Relation and the RAG skills cover chunking, embedding, hybrid search and the retrieval checks that keep answers grounded.
Both directions: Data Storytelling structures a dashboard so it answers a question instead of decorating one, and Data Quality Frameworks makes sure the numbers feeding it deserve the trust.