The All-in-One AI Plugin for Data Architects

Skills for data architects 15

• architectureRuns architecture decisions end to end, weighing trade-offs and writing the ADR. Example: documenting why you chose Postgres over DynamoDB for billing.
• database designGuides schema, index, ORM, and serverless database choices. Example: adding a composite index so your order lookup drops from seconds to milliseconds.
• database architectDesigns a data layer from scratch and selects technology. Example: planning a sharded customer store that scales past 500 million rows.
• agency senior architectCompares microservices against monoliths, draws architecture diagrams, and analyzes dependencies. Example: showing which three services can split first without breaking reporting.
• agency database schema designerBuilds ERDs, normalizes schemas, and plans migrations. Example: turning a messy spreadsheet of customer tables into a third normal form model.
• data management governance assistantCovers classification, governance, privacy, quality, and lifecycle. Example: drafting a data classification policy that tags PII before it reaches the warehouse.

Plus a start-here assistant, the prompt library and the app builder, and for members the daily brief.

Ready-made prompts 25

• Drafting Data Models4 prompts, like Design a Logical Data Model
• Writing Architecture Documentation3 prompts, like Architecture Decision Record
• Defining Data Governance Policies3 prompts, like Data Classification Policy Development
• Mapping Data Flows And Integrations3 prompts, like Draft A Source-To-Target Mapping
• Selecting Databases And Platforms3 prompts, like Build A Database Comparison Matrix
• Optimizing Queries And Storage3 prompts, like Rewrite A Slow SQL Query
• Explaining Designs To Stakeholders2 prompts, like Translate Data Architecture Into Business Terms

Apps you can build with AI 4

• Architecture decision retrieval mapBuild it to trace why a design was chosen and when that reasoning changed, so new engineers stop re-litigating old decisions. Demo included.
• Data contract drift watchBuild it to connect schema drift to the documented consumers it breaks, before a downstream team finds out in production. Demo included.
• Data migration preparationBuild it to produce reviewable mappings and preflight reconciliation, so migration writes start only after the numbers match. Demo included.
• Managed data pipeline delivery workspaceBuild it to cut pipeline coordination effort while keeping data current, reviewed, and auditable across teams. Demo included.

Your Grok Bot team 12

• Database ArchitectDesigns scalable, performant data layers from scratch or re-architects existing ones.
• Database DesignDesigns schemas, selects databases and ORMs, and optimizes queries based on your context.
• Data EngineerDesigns and builds scalable data pipelines, warehouses, and streaming architectures for reliable analytics infrastructure.
• Senior Data EngineerDesigns and maintains scalable data pipelines and infrastructure for production data systems.
• Database Schema DesignerDesigns production-ready SQL and NoSQL schemas with normalization, indexing, and migration scripts.
• Database OptimizerTune queries, indexes, and architecture for measurable database performance gains.
• Database Migration PlannerPlans and validates cross-provider database migrations with rollback and downtime estimates.
• WarehousePlan and review read-only warehouse analysis with explicit scope and validation checks. No schema guessing or write operations. Hand off admin, pipeli
• ArchitectureAnalyzes requirements, evaluates trade-offs, and documents architecture decisions with ADRs.
• Documentation And AdrsRecords the why behind architectural decisions and code changes.
• Codebase ExplorerAnalyzes unfamiliar codebases and produces a structured mental model with tech stack, architecture, and key patterns.
• HlbpaProduces high-level architectural docs and reviews for codebases, focusing on interfaces, flows, and failure modes.