Loading...
Loading...
Found 41 Skills
Design NoSQL database schemas for MongoDB and DynamoDB. Use when modeling document structures, designing collections, or planning NoSQL data architectures.
Best practices for building with Gadget. Use when developers need guidance on models, actions, routes, access control, Shopify/BigCommerce integrations, frontend patterns, API usage, permissions, or framework decisions. Triggers "model", "action", "route", "permission", "access control", "multi-tenancy", "Shopify", "BigCommerce", "frontend", "API client", "filter", "pagination", "webhook", "background job"
Analytics engineering for reliable metrics and BI readiness. Build transformation layers, dimensional models, semantic metrics, data quality tests, and documentation. Use when you need dbt or SQL transformation strategy, metrics definition, or analytics data modeling.
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database optimization or complex analysis.
Comprehensive Pydantic data validation skill for customer support tech enablement - covering BaseModel, Field validation, custom validators, FastAPI integration, BaseSettings, serialization, and Pydantic V2 features
Expert-level Power BI, DAX, M language, data modeling, Power Query, report design, and paginated reports
Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production workflows
Skill for defining terminology and data structures used throughout the project. Covers domain terminology, entities, relationships, and schema design. Use proactively when starting a new project or when data structures are unclear. Triggers: schema, terminology, data model, entity, 스키마, 用語, データモデル, 数据模型, esquema, terminología, modelo de datos, schéma, terminologie, modèle de données, Schema, Terminologie, Datenmodell, schema, terminologia, modello dati Do NOT use for: UI-only changes, deployment, or when schema is already defined.
Execute the implementation planning workflow using the plan template to generate design artifacts.
Help design database schemas, create tables, and plan data models. Activates when users ask to create tables, design schemas, or model data relationships.
Comprehensive SAP ABAP CDS (Core Data Services) reference for data modeling, view development, and semantic enrichment. Use when creating CDS views or view entities in ABAP, defining data models with annotations (@AbapCatalog, @AccessControl, @EndUserText, @Semantics, @UI, @Consumption, @ObjectModel), working with associations and cardinality, implementing input parameters, using built-in functions (string, numeric, date/time), writing CASE expressions and conditional logic, implementing access control with DCL (Data Control Language), handling CURR/QUAN data types with reference fields, troubleshooting CDS errors (SD_CDS_ENTITY105), querying CDS views from ABAP, or displaying data with SALV IDA. Covers ABAP 7.4+ through ABAP Cloud with production-tested patterns. Keywords: ABAP CDS, Core Data Services, CDS view, CDS view entity, define view, define view entity, DDL, Data Definition Language, DCL, Data Control Language, annotations, @AbapCatalog, @AccessControl, @EndUserText, @Semantics, @UI, @Consumption, @ObjectModel, @Metadata, associations, cardinality, TO ONE, TO MANY, path expressions, input parameters, WITH PARAMETERS, built-in functions, CASE expression, CAST, session variables, $session, aggregate functions, GROUP BY, HAVING, joins, INNER JOIN, LEFT OUTER JOIN, access control, DEFINE ROLE, pfcg_auth, authorization, SALV IDA, cl_salv_gui_table_ida, Eclipse ADT, ABAP Development Tools, CDS annotations, Fiori Elements, OData, RAP, ABAP RESTful Application Programming Model, currencyCode, unitOfMeasure, SD_CDS_ENTITY105
Type-driven design principle: transform unstructured data into structured types at system boundaries, making illegal states unrepresentable. Use when writing or reviewing code that validates input, designs data types, defines function signatures, handles errors, or models domain logic. Use when you see validation functions that return void/undefined, redundant null checks, stringly-typed data, boolean flags controlling behavior, or functions that can receive data they shouldn't. Triggers on: "parse don't validate", "type-driven design", "make illegal states unrepresentable", "input validation", "data modeling", "refactor types", "strengthen types", "smart constructor", "newtype", "branded type".