Organize object storage with lifecycle policies.

Expert-level data mesh architecture, domain-oriented ownership, data products, federated governance, and self-serve platforms

Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.

Design data models with Pydantic schemas, comprehensive validation rules,

Detect PII, mask data, and manage consent and encryption.

Data product design patterns with contracts, SLAs, and governance for building self-serve data platforms using Data Mesh principles.

Enforce data quality rules and validations on pilot data streams and repositories. Use when checking for missing values, schema compliance, consistency issues, or anomalies before analysis and reporting.

Implement validation, profiling, and anomaly detection.

Build and refresh eval datasets from Front, run routing evals, and analyze agent response quality.

- [Purpose](#purpose)

Ensure Alpaca API is used for quality data, not yfinance fallback. Trigger when: (1) crypto volume filter fails unexpectedly, (2) zero-volume bars in data, (3) API key configuration issues.

Analyze fundamental data primitives, type systems, and state management patterns in a codebase. Use when (1) evaluating typing strategies (Pydantic vs TypedDict vs loose dicts), (2) assessing immutability and mutation patterns, (3) understanding serialization approaches, (4) documenting state shape and lifecycle, or (5) comparing data modeling approaches across frameworks.

Design dimensional models and fact tables.

'Use SQL (PostgreSQL) when:'

Allows read-only access to the SQL database to allow querying and analysis using natural language

Understanding and implementing database locking mechanisms for concurrency control.

Create Prisma schema models with relations and indexes. Use when designing database schemas, adding models, or defining entity relationships.

database-patterns

| Atributo | Valor |

Document database schemas, ERD diagrams, table relationships, indexes, and constraints. Use when documenting database schema, creating ERD diagrams, or writing table documentation.

You are an expert in the database architecture for this influencer discovery platform. This skill provides comprehensive knowledge about the Postgres schema, Drizzle ORM patterns, normalized user tabl

VaultCPA database schema reference with 50+ Prisma models, relationships, and query patterns. Use when working with database models, designing features, or understanding data structure.

Enforces project database schema conventions when creating or modifying Drizzle ORM table definitions, including constraints, indexes, relations, and column patterns. This skill should be used proactively whenever working with schema files to ensure consistent schema design for PostgreSQL with Neon serverless.

Configure and operate TinyDB for JSON-based document storage. Use when setting up databases, creating queries, or managing data persistence.

RDBMS access patterns for DuckDB, MySQL (keycloak), PostgreSQL (dw, x3rocs), SQL Server (sage1000, x3), and DBISAM (Exportmaster) using ODBC and native drivers

Databricks documentation reference. Use as a lookup resource alongside other skills and MCP tools for comprehensive guidance.

description: Create or update Dataverse schema components (entities, attributes, relationships, option sets) via Web API

Deploy solutions, PCF controls, and web resources to Dataverse using PAC CLI

This skill provides guidance on designing Dataverse table schemas and data models. Use when users ask about "Dataverse table design", "Dataverse schema", "Dataverse relationships", "Dataverse columns"

Handle datetime and timezone conversions correctly across frontend, API, and database. Use this skill when working with datetime-local inputs, scheduling features, due dates, reminders, or any time-sensitive functionality. Covers the critical pitfall of browser datetime-local inputs lacking timezone info.

Query Deutsche Bahn train connections and prices.

提供通用的数据库查询工作流程、SQL 模板和结果分析方法。使用 exec_sql 工具执行查询。

Initialize database infrastructure for new projects

提供v3_metadata数据库的SQL查询模板，包括对象编码（object_code）、对象名称、事件、按钮配置、自定义字段、元数据字段、插件中心等表的查询。查询对象编码、对象名称、自定义对象时使用。使用 exec_sql 工具执行查询。

Comprehensive guide to optimizing database queries, understanding EXPLAIN plans, indexing strategies, and eliminating N+1 queries

Guide for recovering data from SQLite Write-Ahead Log (WAL) files that may be corrupted, encrypted, or inaccessible through standard methods. This skill should be used when tasks involve SQLite database recovery, WAL file analysis, encrypted database files, or discrepancies between tool outputs and filesystem access.

Execute DDL (Data Definition Language) statements - CREATE, ALTER, DROP tables, indexes, views on 30+ databases using DbCli. CRITICAL - requires mandatory backup before DROP/ALTER operations. Use when user needs to create schema, modify structure, or drop database objects.

Execute INSERT, UPDATE, DELETE statements on 30+ databases using DbCli. Includes mandatory backup procedures before destructive operations. Use when user needs to modify data, insert records, update fields, or delete rows. Always create backups first.

Export table data as SQL INSERT statements from 30+ databases using DbCli. Essential for creating backups before dangerous modifications (UPDATE/DELETE/DROP). Use when user needs to backup data, migrate tables, or create portable SQL dumps.

Interactive SQL mode for 30+ databases using DbCli. Provides REPL environment for exploratory queries, rapid prototyping, and database administration. Includes safety prompts before dangerous operations (UPDATE/DELETE/DROP). Use when user wants interactive database session.

Toolkit for analyzing Thai legacy DBF accounting databases using roonpoo, Parquet, and DuckDB.

This skill enables AI agents to help users monitor dbt execution using the

Guide AI agents through a systematic, user-choice-driven installation process for dbt-core on local

Deploy, manage, and monitor dbt projects natively within Snowflake using web-based workspaces,

Complete step-by-step guide for setting up dbt Projects on Snowflake from beginning to end.

Build defensible DCF models with cited sources, Excel export, and sensitivity analysis

Domain-Driven Design 기획 및 설계 전문 skill. 프로젝트 도메인 분석, Bounded Context 정의, Aggregate 설계, Context Mapping, Event Storming, Ubiquitous Language 정의 등 DDD 전체 프로세스를 지원합니다. 사용 시기: (1) DDD 기획/설계를 요청할 때 (2) 도메인 모델링을 요청할 때 (3) Bounded Context, Aggregate, Domain Event 설계 시 (4) 화면정의서/DB정의서에서 도메인 추출 시 (5) Context Map 작성 시 (6) Kotlin DDD 코드 생성 시

Identify unused code and remove safely.

Orchestrates formal debates with proposition and opposition sides, coordinating debaters and judges through structured exchanges. Use when running debate exchanges, managing debate rounds, or continuing interrupted debates.