This skill enables Claude to design and visualize database schemas. It leverages normalization guidance (1NF through BCNF), relationship mapping, and ERD generation to create efficient and well-structured databases. Use this skill when the user requests to "design a database schema", "create a database model", "generate an ERD", "normalize a database", or needs help with "database design best practices". The skill is triggered by terms like "database schema", "ERD diagram", "database normalization", and "relational database design".

This skill enables Claude to manage database replication, failover, and high availability configurations using the database-replication-manager plugin. It is designed to assist with tasks such as setting up master-slave replication, configuring automatic failover, monitoring replication lag, and implementing read scaling. Use this skill when the user requests help with "database replication", "failover configuration", "high availability", "replication lag", or "read scaling" for databases like PostgreSQL or MySQL. The plugin facilitates both physical and logical replication strategies.

This skill manages database recovery operations using the database-recovery-manager plugin. It enables disaster recovery, point-in-time recovery (PITR), and automated failover strategies for production database systems. Use this skill when the user requests help with "database recovery", "disaster recovery", "point-in-time recovery", "PITR", "backup validation", "recovery testing", or "multi-region failover" for databases. It automates backup verification and recovery testing.

This skill enables Claude to design, implement, and manage table partitioning strategies for large databases. It is triggered when the user needs to optimize query performance, manage time-series data, or reduce maintenance windows for tables exceeding 100GB. Use this skill when asked to "create database partitions", "optimize database queries with partitioning", "manage large database tables", or when the user mentions "partitioning strategy", "data archival", or uses the command `/partition`. The skill helps automate partition maintenance and data lifecycle management. It focuses on database best practices and production-ready implementations.

This skill enables Claude to manage database schema changes through version-controlled migrations. It is activated when the user requests to create, apply, or rollback database migrations. The skill supports generating timestamped migration files with both up and down migrations for PostgreSQL, MySQL, SQLite, and MongoDB. It helps in tracking schema evolution and ensuring safe database modifications. Use this skill when the user mentions "database migration", "schema change", "add column", "rollback migration", or "create migration".

This skill uses the database-index-advisor plugin to analyze query patterns and recommend optimal database indexes. It identifies missing indexes to improve query performance and unused indexes that can be removed to save storage and improve write performance. Use this skill when the user asks to "analyze database indexes", "optimize slow queries", "find missing indexes", "remove unused indexes", or requests help with "database index optimization". The plugin analyzes database workloads, detects potential indexing issues, and provides actionable recommendations for indexing strategies.

This skill enables Claude to monitor database health using real-time metrics, predictive alerts, and automated remediation. It's designed for production-grade database health monitoring for PostgreSQL and MySQL, detecting performance degradation, resource exhaustion, and replication issues. Use this skill when the user requests to monitor database health, check database performance, receive database alerts, or automate database remediation. The skill is triggered by phrases like "check database health", "monitor database performance", "database health check", or "/health-check".

This skill enables Claude to automatically generate comprehensive documentation for existing database schemas using the database-documentation-gen plugin. It is triggered when the user requests database documentation, ERD diagrams, or a data dictionary. The plugin supports multiple database engines and generates documentation that includes ERD diagrams, table relationships, column descriptions, indexes, triggers, stored procedures, and interactive HTML documentation. Use this skill when you need to document existing database schemas for team onboarding, architectural reviews, or data governance purposes. The trigger terms include "database documentation", "ERD diagram", "data dictionary", and `/db-docs`.

This skill leverages the database-diff-tool plugin to compare database schemas, generate migration scripts, and provide rollback procedures. It is triggered when the user requests database schema comparisons, migration script generation, or database synchronization. Use this skill when asked to identify differences between database schemas (PostgreSQL or MySQL), create safe migration scripts with transaction safety, validate changes before deployment, or generate rollback procedures. The skill is activated by requests involving terms like "database diff", "schema comparison", "generate migration script", "database synchronization", or `/db-diff`.

This skill uses the database-deadlock-detector plugin to detect, analyze, and prevent database deadlocks. It monitors database lock contention, analyzes transaction patterns, and suggests resolution strategies. Use this skill when the user asks to "detect database deadlocks", "analyze deadlock causes", "monitor database locks", or any requests related to database deadlock prevention and resolution. This skill is particularly useful for production database systems experiencing recurring deadlock issues. The plugin's command `/deadlock` is triggered by these requests.

This skill optimizes database connection pooling for enhanced performance and resource management. It is activated when the user requests assistance with connection pooling, database performance tuning, or connection lifecycle management. Use this skill to implement and configure connection pools in various programming languages, identify optimal pool settings, and troubleshoot common connection-related issues. The skill is triggered by phrases like "connection pooling," "optimize database connections," or "improve database performance with connection pool."

This skill automates database backups using the database-backup-automator plugin. It creates scripts for scheduled backups, compression, encryption, and restore procedures across PostgreSQL, MySQL, MongoDB, and SQLite. Use this when the user requests database backup automation, disaster recovery planning, setting up backup schedules, or creating restore procedures. The skill is triggered by phrases like "create database backup", "automate database backups", "setup backup schedule", or "generate restore procedure".

This skill helps implement database audit logging for tracking changes and ensuring compliance. It is triggered when the user requests to "implement database audit logging", "add audit trails", "track database changes", or mentions "audit_log" in relation to a database. The skill provides options for trigger-based auditing, application-level logging, Change Data Capture (CDC), and parsing database logs. It generates a basic audit table schema and guides the user through selecting the appropriate auditing strategy.

This skill automates database archival processes. It helps reduce primary database size by moving historical records to archive tables or cold storage solutions like S3, Azure Blob, or GCS. The plugin supports PostgreSQL and MySQL, implementing automated retention policies, compression, compliance tracking, and zero-downtime migration. Use this when the user mentions "database archival", "archive old database records", "retention policies", "cold storage", or "reduce database size." It is particularly useful for handling requests related to data lifecycle management and compliance requirements in database systems.

Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions. Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

This skill enables Claude to generate realistic test data and database seed scripts for development and testing environments. It uses Faker libraries to create realistic data, maintains relational integrity, and allows configurable data volumes. Use this skill when you need to quickly populate a database with sample data for development, testing, or demonstration purposes. The skill is triggered by phrases like "seed database", "generate test data", "create seed script", or "populate database with realistic data".

Automate budget vs actual variance analysis in Excel with flagging, commentary, and executive summaries for financial reporting and FP&A teams Activates when you request "excel variance analyzer" functionality.

This skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. It is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing transfer learning. It analyzes the user's requirements, generates code for adapting the model, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when you need to leverage existing models for new tasks or datasets, optimizing for performance and efficiency.

This skill enables Claude to forecast future values based on historical time series data. It analyzes time-dependent data to identify trends, seasonality, and other patterns. Use this skill when the user asks to predict future values of a time series, analyze trends in data over time, or requires insights into time-dependent data. Trigger terms include "forecast," "predict," "time series analysis," "future values," and requests involving temporal data.

This skill empowers Claude to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. It analyzes user preferences, item features, and interaction data to generate personalized recommendations. Use this skill when the user requests to build a recommendation engine, needs help with collaborative filtering, wants to implement content-based filtering, or seeks to rank items based on relevance for a specific user or group of users. It is triggered by requests involving "recommendations", "collaborative filtering", "content-based filtering", "ranking items", or "building a recommender".