ORM

Interact with Metabase analytics and BI platform for querying dashboards, retrieving card results, and exporting data. Activated when users mention "Metabase", "대시보드", ask about analytics dashboards, or need BI data exports.

DuckDB data lakehouse development with Dagster orchestration and Apache Iceberg integrationfor floe-platform. Use when: (1) Building data pipelines with DuckDB as compute engine,(2) Configuring dbt-duckdb with Polaris plugin, (3) Reading/writing Iceberg tables viaPolaris catalog, (4) Creating Dagster assets with DuckDB, (5) Designing catalog-firstlakehouse architecture, (6) Connecting to REST catalogs with inline credentials.

Manages Prisma schema operations, database migrations, and data relationships for the digital marketplace. Use when working with database schema changes, product data models, or subscription management tables.

Creates git commits for already-staged changes following conventional commit format. ALWAYS check git diff --cached FIRST to verify staged changes. Use when user asks to commit staged changes, create a commit, or mentions commit-staged. Generates concise one-liner messages or overview with bullet points. Never stages files - only commits what user already staged.

SQLAlchemy Python SQL toolkit and ORM with powerful query builder, relationship mapping, and database migrations via Alembic

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.

Build enterprise Blazor applications with MudBlazor component library. Use when creating forms, data grids, dialogs, navigation, theming, layout systems, or integrating with Neatoo domain objects. Covers installation, components, validation, data display, and enterprise patterns.

Drizzle ORMを使用したデータベース操作を支援。スキーマ変更、マイグレーション、シードデータ投入、DBリセットで使用。トリガー例：「DBを更新」「スキーマ変更」「テーブル追加」「カラム追加」「シード実行」「マイグレーション」

Async SQLAlchemy 2.0+ database patterns for FastAPI including session management, connection pooling, Alembic migrations, relationship loading strategies, and query optimization. Use when implementing database models, configuring async sessions, setting up migrations, optimizing queries, managing relationships, or when user mentions SQLAlchemy, async database, ORM, Alembic, database performance, or connection pooling.

This skill provides guidance for implementing robust Qdrant vector database integration with RAG (Retrieval Augmented Generation) systems, including proper async client handling, error management, and performance optimization.

Analyzes Ecto queries for N+1 problems, missing preloads, and performance issues.

CloudBase platform knowledge and best practices. Use this skill for general CloudBase platform understanding, including storage, hosting, authentication, cloud functions, database permissions, and data models.

Analyze and optimize database schemas, identify performance issues, and suggest improvements. Use when working with database structure, indexes, or query performance.

Install, configure, and validate local ClickHouse for gapless-crypto-clickhouse development and backtesting. Use when setting up local development environment, enabling offline mode, improving query performance for backtesting, or running E2E validation. Includes mise/Homebrew/apt installation, mode detection, connection validation, and E2E workflow scripts.

Type-safe ORM for Cloudflare D1 databases using Drizzle. This skill provides comprehensivepatterns for schema definition, migrations management, type-safe queries, relations, andCloudflare Workers integration.Use when: building D1 database schemas, writing type-safe SQL queries, managing databasemigrations with Drizzle Kit, defining table relations, implementing prepared statements,using D1 batch API for transactions, or encountering "D1_ERROR", transaction errors,foreign key constraint failures, migration apply errors, or schema inference issues.Prevents 12 documented issues: D1 transaction errors (SQL BEGIN not supported), foreign keyconstraint failures during migrations, module import errors with Wrangler, D1 binding not found,migration apply failures, schema TypeScript inference errors, prepared statement caching issues,transaction rollback patterns, TypeScript strict mode errors, drizzle.config.ts not found,remote vs local database confusion, and wrangler.toml vs wrangler.jsonc mixing.Keyw

Use this skill whenever the user wants to create, restructure, or standardize a NestJS backend project in TypeScript, including folder layout, config, environment setup, tooling, and initial integrations (TypeORM-ready, testing-ready, and deployment-friendly).

Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, designing ML database schemas, integrating trained models with applications, or when user mentions FastAPI ML endpoints, prediction forms, model serving, ML API deployment, inference integration, or production ML deployment.

AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inline, tabular, expanded), 3 delimiters (comma, tab, pipe), key folding for nested objects. Triggers on structured data, arrays, repeated patterns. Use TOON by default when tokens matter - RAG pipelines, tool calls, agents, benchmarks. Keywords "data", "array", "list", "table", "log", "transaction", "metric", "analytics", "API", "database", "query", "TOON".

Patterns and best practices for Better-T-Stack projects (TanStack Router, Hono, Drizzle, tRPC, Better Auth)

Detects N+1 queries, suggests eager loading, and recommends database indexes