database management向けのClaudeスキルを発見してください。25個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Populates Bknd databases with initial, test, and development data using standardized seeding patterns and idempotent logic.
Removes database entities safely from Bknd.io by managing relationship dependencies, data backups, and destructive schema synchronization.
Optimizes database performance through advanced indexing strategies, EXPLAIN plan analysis, and efficient query pattern implementation.
Retrieves and queries data from Bknd database entities using the SDK or REST API with advanced filtering and relation support.
Streamlines the process of adding and configuring data fields within Bknd entities using both UI-based and code-first approaches.
Configures and automates production database setup for Bknd applications across various cloud and self-hosted providers.
Manages schema changes in Bknd apps including entity renaming, field type updates, and safe data migration workflows.
Enables advanced data retrieval in Bknd.io projects using complex filter conditions and logical operators.
Creates and configures database entities for Bknd applications using either a code-first approach or the visual admin interface.
Streamlines high-volume data operations in Bknd.io using optimized batch processing, chunking, and error handling strategies.
Defines and manages complex data relationships, foreign keys, and associations within the Bknd.io ecosystem.
Automates data validation and impact analysis for dbt projects using the Recce framework.
Optimizes AgentDB vector databases using quantization, HNSW indexing, and batch operations to achieve massive performance gains and memory reduction.
Designs, optimizes, and manages relational and NoSQL databases using industry-standard patterns and performance-tuning techniques.
Lints PostgreSQL functions, analyzes codebase usage, and generates actionable maintenance reports to ensure database integrity.
Implements robust Row-Level Security (RLS) policies for multi-tenant and user-scoped database architectures.
Analyzes and optimizes modular architecture health for Logseq Template Graphs by evaluating balance, cohesion, and dependencies.
Master production-grade SQL optimization, schema design, and database performance tuning for data engineering workflows.
Optimizes database query performance and prevents connection pool exhaustion using proven Postgres and Supabase patterns.
Explains Logseq's Datascript database architecture, including entity relationships, built-in classes, and property type systems.
Automates and guides the implementation of horizontal database sharding strategies to improve system performance and scalability.
Optimizes database performance through advanced SQL query patterns, strategic indexing, and detailed execution plan analysis.
Analyzes database slow query logs to identify performance bottlenecks and provide actionable indexing and optimization strategies.
Provides a standardized data model reference for orchestrating Product Management workflows and requirements within Airtable.
Architects robust data warehouses using star schemas, dimensional modeling, and enterprise SQL patterns for scalable analytics.
Generates secure, production-ready Row Level Security policies for Supabase tables with support for complex account architectures and admin bypass.
Builds and optimizes complex Datalog queries for Logseq's database-driven graphs.
Implements type-safe SQLAlchemy repository patterns for consistent database operations and session management.
Implements type-safe SQL queries and repository patterns using jOOQ for robust Kotlin and Java database interactions.
Optimizes database connection pooling to enhance application performance and resource management efficiency.
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