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概要と使いどころ
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
日本語の概要は準備中です。原文の説明を表示しています。
Manage database migrations and schema versioning. Use when planning migrations, version control, rollback strategies, or data transformations for any database paradigm.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Cockroachdb Cloud — cockroachDB Cloud (Serverless & Dedicated) management via the ccloud CLI and CockroachDB Cloud API. Covers clusters, databases, SQL users, networking, backups, and metrics. Use when managing CockroachDB Cloud clusters or reviewing database health.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Chroma — chroma vector database management, collection inspection, embedding analysis, and query performance monitoring. Covers collection metadata, document counts, distance metrics, index health, and tenant/database configuration. Read this skill before any Chroma operations.
日本語の概要は準備中です。原文の説明を表示しています。
Use when working with Azure Sql — azure SQL Database DTU/vCore analysis, query performance insights, elastic pool management, geo-replication status, and database health monitoring via Azure CLI.
日本語の概要は準備中です。原文の説明を表示しています。
Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.
日本語の概要は準備中です。原文の説明を表示しています。
Expert en migrations de base de données (Flyway, Liquibase, Prisma Migrate, zero-downtime)
日本語の概要は準備中です。原文の説明を表示しています。
Expert en optimisation de bases de données (query plans, indexing strategies, partitioning, vacuum)
日本語の概要は準備中です。原文の説明を表示しています。
Expert en bases de données (PostgreSQL, MySQL, MongoDB, Redis, query optimization, replication)
日本語の概要は準備中です。原文の説明を表示しています。
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
日本語の概要は準備中です。原文の説明を表示しています。
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
日本語の概要は準備中です。原文の説明を表示しています。
PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
日本語の概要は準備中です。原文の説明を表示しています。
Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures.
日本語の概要は準備中です。原文の説明を表示しています。
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
日本語の概要は準備中です。原文の説明を表示しています。
Expert in Drizzle ORM for TypeScript — schema design, relational queries, migrations, and serverless database integration. Use when building type-safe database layers with Drizzle.
日本語の概要は準備中です。原文の説明を表示しています。
Prisma ORM expert for schema design, migrations, query optimization, relations modeling, and database operations. Use PROACTIVELY for Prisma schema issues, migration problems, query performance, relation design, or database connection issues.
日本語の概要は準備中です。原文の説明を表示しています。
Expert patterns for Neon serverless Postgres, branching, connection pooling, and Prisma/Drizzle integration Use when: neon database, serverless postgres, database branching, neon postgres, postgres serverless.
日本語の概要は準備中です。原文の説明を表示しています。
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong. Firestore queries are limited, and you learn this after you've designed your data model. This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is optimized for read-heavy, denormalized data. I
日本語の概要は準備中です。原文の説明を表示しています。
ペネトレーションテストを対話的に実行するスキル。認可確認(Authorization Gate)→カテゴリ選択（Methodology, Reconnaissance, Scanning, VulnerabilityScanning, WebAppTesting, APITesting, PasswordAttacks, Exploitation, PrivilegeEscalation, ActiveDirectory, PostExploitation, WirelessAttacks, NetworkAttacks, SocialEngineering, CloudPentesting, MobileAppTesting, ContainerK8s, BinaryExploitation, OWASPTop10, Reporting, EmailSecurity, DatabaseAttacks, VPNRemoteAccess の全23カテゴリ）→ツール選択→コマンド実行→発見記録(Finding)→レポート生成をステップバイステップで進行。スコープ/除外チェック・ガードレール付き。「ペンテスト実行」「pentest」「侵入テスト」「脆弱性診断」「セキュリティテスト」「pentest executor」で発火。
Automatically syncs Gmail and Google Calendar with a Notion database to keep track of the status of job applications the user has submitted. Use this skill whenever the user asks to "sync my job applications," "update my job tracker," "check where my interviews stand," or something similar — even if they don't explicitly mention Notion, Gmail, or Calendar, and even if they don't have a Notion database set up for this yet. Requires (or guides the user through setting up) the Notion, Gmail, and Google Calendar MCP connectors.
日本語の概要は準備中です。原文の説明を表示しています。
Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
日本語の概要は準備中です。原文の説明を表示しています。
Database migrations, schema evolution, data transformation, and zero-downtime deployments. Use when creating migrations, evolving database schema, transforming data, or planning deployment strategies.
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks about revenue, payments, subscriptions, billing, CRM deals, support tickets, production database tables, or other data that PostHog does not collect natively. Also use when a query fails because a table does not exist or returns no results for expected external data. The data warehouse can import from SaaS tools (Stripe, Hubspot, etc.), production databases (Postgres, MySQL, BigQuery, Snowflake), and other arbitrary data sources. Covers checking existing sources, identifying the right source type, and guiding the setup.
日本語の概要は準備中です。原文の説明を表示しています。
Design database schemas — tables, relationships, indexes, constraints, and ORM setup. Covers relational design, normalization, and common patterns.
日本語の概要は準備中です。原文の説明を表示しています。