Manual GA4 reporting requires repeated property discovery, schema checks, and pagination. This skill guides Rube MCP through reliable reporting and analysis workflows.

dbt projects can become inconsistent as models, tests, and incremental logic grow. This skill provides practical patterns for organized, documented, and efficient transformations.

Complex data questions can produce unreliable conclusions when methods, assumptions, and business goals are unclear. This skill structures analysis, modeling, validation, and communication into a rigorous workflow.

Data teams need architectures that meet throughput, quality, reliability, and cost targets. This skill provides structured guidance for batch, streaming, orchestration, storage, and monitoring decisions.

Feature teams often ship changes without clear evidence or measurable outcomes. This skill guides analysis, A/B testing, instrumentation, rollout, and post-launch review.

Data teams need reliable architectures that meet scale, latency, governance, and cost requirements. This skill turns those requirements into pipeline designs, implementation plans, quality controls, and operating guidance.

Slow queries and weak database designs can raise latency, cost, and operational risk. This skill provides evidence-based guidance for queries, indexes, caching, scaling, migrations, and monitoring.

Database migrations can lock tables, corrupt data, or leave applications incompatible. This skill creates staged plans with validation, rollback, batching, and zero-downtime strategies.

Database changes can cause data loss, downtime, or difficult rollbacks. This skill creates migration plans and ORM examples with validation and recovery steps.

Poor database choices create expensive migrations, weak performance, and operational risk. This skill turns requirements and access patterns into practical schemas, technology choices, and migration plans.

Database projects often span disconnected design, migration, optimization, and operations tasks. This skill organizes those tasks into one phased workflow with focused specialist prompts.

Modern vision projects require choices across detection, segmentation, VLMs, depth, and deployment. This skill guides architecture, model selection, optimization, and edge deployment for practical computer vision systems.

Analytical database work needs schema and query choices that match ClickHouse behavior. This skill gives Claude, Codex, and Claude Code practical patterns for tables, ingestion, aggregation, monitoring, and pipelines.

Custom D3.js visualisation work requires many chart patterns and integration choices. This skill provides reusable guidance, templates, and references for building interactive SVG charts.

RAG projects can ingest weak or unsupported sources that reduce answer quality. This skill gives a structured verification workflow before content enters the knowledge base.

ClickHouse projects often need better schema choices, faster queries, and safer ingestion patterns. This skill provides practical ClickHouse table, query, monitoring, and pipeline guidance.

Teams often struggle to turn metrics, dashboards, and research into clear business decisions. This skill structures analysis, KPI design, forecasting, and recommendations for Claude, Codex, and Claude Code.

Database setup and automation across LibreOffice Base can require unfamiliar connection formats and UNO services. This skill provides focused workflows, examples, and operational guidance.

Azure Monitor queries require correct clients, credentials, resource identifiers, time ranges, and response handling. This skill provides focused Python and Kusto patterns for logs and metrics.

Azure Table integrations require careful client, key, query, and transaction choices. This skill provides focused Python patterns for Storage Tables and Cosmos DB Table API.