migration-strategies
Database migration best practices and strategies. Use when managing schema changes.
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Database migration best practices and strategies. Use when managing schema changes.
Expert knowledge for implementing event sourcing in Composable Rust. Use when implementing event-sourced aggregates, working with EventStore trait or PostgreSQL, designing event schemas, implementing state reconstruction, dealing with optimistic concurrency and version tracking, or questions about event sourcing, CQRS, and persistence patterns.
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
Define database models and schemas with proper data types, constraints, relationships, and validation rules. Use this skill when creating or modifying database models, ORM entities, schema definitions, or data validation layers. When working on Prisma schema files, TypeORM entities, Drizzle schema definitions, Mongoose models, database model classes, files defining table structures and relationships, validation schemas for database entities, or files implementing data integrity constraints and cascading behaviors.
Understand the specific data model, entities, and database operations for Project SENTINEL. Use when writing database queries, creating migrations, or explaining the data architecture.
Build and run LLM-powered data processing pipelines with DocETL using Claude models. Use when users say "docetl", want to analyze unstructured data, process documents, extract information, or run ETL tasks on text. Helps with data collection, pipeline creation, execution, and optimization. This version uses Anthropic Claude Haiku for all LLM operations.
Investigate ClickHouse query failures, exceptions, crashes, and error patterns. Use for error analysis and failure investigation.
Comprehensive guide to data lakehouse architecture combining data lake flexibility with data warehouse performance using Delta Lake, Iceberg, and Hudi
Interact with Dagster data orchestration platform running locally or on Kubernetes. Use when Claude needs to monitor Dagster runs, get run logs, list assets/jobs, materialize assets, launch jobs, or debug pipeline failures. Supports both local Dagster dev server and Kubernetes deployments where each job run is a separate pod.
Apply cleaning and filtering actions based on data quality decisions and generate filtered log artefacts.
Diagnose CI/CD pipeline failures, analyze Jenkins build logs, and troubleshoot deployment issues. Use when builds fail, checking pipeline status, investigating errors, or understanding deployment health.
Complex task decomposition and workflow orchestration specialist. Use PROACTIVELY for multi-step projects, ChromaDB integration, semantic search architecture, tool/agent coordination, and knowledge base design. (project)
Store ClickHouse Cloud credentials in Doppler + 1Password for gapless-crypto-clickhouse. Use when setting up new services, rotating credentials, or backing up authentication material. Covers API keys, connection details, and database password storage.
Comprehensive guide to data quality validation, testing frameworks, anomaly detection, and data observability for production data pipelines
Automatically applies when optimizing database queries. Ensures EXPLAIN analysis, proper indexing, N+1 prevention, query performance monitoring, and efficient SQL patterns.
Agent orchestration pattern for multi-step email processing pipeline. Cost tracking, circuit breakers, graceful degradation, specialized agents. Triggers on "agent", "orchestrator", "pipeline", "multi-step processing", "specialized agents".
Comprehensive diagnostic tool for troubleshooting OADP/Velero backup and restore problems with automated checks and recommendations.
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
GenStage, Broadway, and Flow for Elixir data pipelines
Query remote Parquet files via HTTP without downloading using DuckDB httpfs. Leverage column pruning, row filtering, and range requests for efficient bandwidth usage. Use for crypto/trading data distribution and analytics.