Databases

This skill enables Claude to analyze capacity requirements and plan for future growth. It uses the capacity-planning-analyzer plugin to assess current utilization, forecast growth trends, and recommend scaling strategies. Use this skill when the user asks to "analyze capacity", "plan for growth", "forecast infrastructure needs", or requests a "capacity roadmap". It is also useful when the user mentions specific capacity metrics like CPU usage, memory, database storage, network bandwidth, or connection pool saturation. This skill is ideal for proactive infrastructure planning and preventing performance bottlenecks.

マルチエージェントシステム設計を専門とするスキル。複数のエージェント間の効果的な協調、ハンドオフプロトコルの設計、情報受け渡しメカニズムにより、スケーラブルで保守性の高い分散システムを構築する。Anchors:• Building Microservices (Sam Newman) / 適用: サービス間の協調設計 / 目的: 疎結合で信頼性の高いエージェント連携• Patterns of Enterprise Application Architecture (Martin Fowler) / 適用: ハンドオフパターン / 目的: 明確なプロトコル設計• Working Effectively with Legacy Code (Michael Feathers) / 適用: 既存システムとの統合 / 目的: 段階的なエージェント導入Trigger:Use when designing multi-agent collaboration, defining handoff protocols, optimizing inter-agent communication, or managing agent dependencies.multi-agent, agent collaboration, handoff protocol, delegation, chaining, parallel agents, feedback loop, orchestration

This skill utilizes the data-validation-engine plugin to ensure database integrity. It automatically validates data types, ranges, formats, referential integrity, and business rules. Use this skill when you need to implement data validation, enforce constraints, or improve data quality within a database. It is triggered by requests for "data validation", "database integrity", or "validation rules". The plugin supports multi-database environments and production-ready implementations.

Build full-stack applications with Supabase (PostgreSQL, Auth, Storage, Real-time, Edge Functions). Use when implementing authentication, database design with RLS, file storage, real-time features, or serverless functions.

Identifies and fixes XSS, SQL injection, and command injection vulnerabilities with validation schemas, sanitization libraries, and safe coding patterns. Use for "input validation", "XSS prevention", "SQL injection", or "sanitization".

This skill implements backup strategies for databases and applications. It generates configuration files and setup code to ensure data protection and disaster recovery. Use this skill when the user requests to "implement backup strategy", "configure backups", "setup data recovery", or needs help with "backup automation". The skill provides production-ready configurations, best practices, and multi-platform support for database and application backups. It focuses on security and scalability.

Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, RabbitMQ, Kafka, SQS, or NATS integration.

Run safe diagnostic commands on the remote memory server. Use for checking logs, container status, disk usage, memory, and running read-only database queries.

Managing Linear issues, projects, and teams. Use when working with Linear tasks, creating issues, updating status, querying projects, or managing team workflows.

Review a pull request or merge request. Use when reviewing PRs, providing code review feedback, or analyzing proposed changes. Supports GitHub and GitLab.

Automatically manages PostgreSQL backups with pgBackRest and Wasabi S3 storage when working with FairDB databases Activates when you request "fairdb backup manager" functionality.

Reactアプリのデータフェッチ、キャッシュ、エラーハンドリング、楽観的更新を整理するスキル。ライブラリ選定から設計・実装・検証までの実務フローを提供する。Anchors:• Stale-While-Revalidate Pattern / 適用: キャッシュ戦略 / 目的: サーバー状態の一貫性確保• React Query vs SWR / 適用: ライブラリ選定 / 目的: 要件に最適な選択• MSW / 適用: テスト環境構築 / 目的: API依存の排除Trigger:Use when implementing data fetching patterns, cache strategies, error handling, optimistic updates, or choosing between SWR and React Query.data fetching, cache strategy, swr, react query, optimistic updates, error handling

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 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.

Performance optimization, profiling, benchmarking, cache optimization, and system-level tuning techniques for C++.

Three.js 3D building system with spatial indexing, structural physics, and multiplayer networking. Use when creating survival games, sandbox builders, or any game with player-constructed structures. Covers performance optimization (spatial hash grids, octrees, chunk loading), structural validation (arcade/heuristic/realistic physics modes), and multiplayer sync (delta compression, client prediction, conflict resolution).

Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents for domain-specific analytics, implementing RAG with document context, or deploying self-service analytics with LLM-generated SQL and visualizations.

Synthesize user feedback from multiple channels and identify patterns to inform product decisions. Use when analyzing feedback, prioritizing feature requests, conducting NPS surveys, or understanding user sentiment. Covers feedback collection, categorization, prioritization frameworks, and closing the feedback loop.

This skill enables Claude to design NoSQL data models. It activates when the user requests assistance with NoSQL database design, including schema creation, data modeling for MongoDB or DynamoDB, or defining document structures. Use this skill when the user mentions "NoSQL data model", "design MongoDB schema", "create DynamoDB table", or similar phrases related to NoSQL database architecture. It assists in understanding NoSQL modeling principles like embedding vs. referencing, access pattern optimization, and sharding key selection.

This skill should be used when inserting files (images, PDFs, Excel files, documents) into the CRM database and linking them to companies, people, events, or sales opportunities. The skill handles base64 encoding, hash calculation, MIME type detection, and SQL insertion automatically through a Python script.