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Found 1,403 Skills
Build a live MotherDuck dashboard as a Dive. Use when composing one shareable KPI, trend, and breakdown story over existing MotherDuck data, especially when the result should stay a saved workspace artifact rather than a full application.
Kpi Definition Helper - Auto-activating skill for Data Analytics. Triggers on: kpi definition helper, kpi definition helper Part of the Data Analytics skill category.
Use when designing databases for data-heavy applications, making schema decisions for performance, choosing between normalization and denormalization, selecting storage/indexing strategies, planning for scale, or evaluating OLTP vs OLAP trade-offs. Also use when encountering N+1 queries, ORM issues, or concurrency problems.
Process use when you need to track database changes for compliance and security monitoring. This skill implements audit logging using triggers, application-level logging, CDC, or native logs. Trigger with phrases like "implement database audit logging", "add audit trails", "track database changes", or "monitor database activity for compliance".
Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.
PbIdea Framework API Query Skill. Manually triggered by the /pbidea command. Covers: uo_json (JSON parsing/generation/conversion with DataWindow), uo_httpclient / uo_curl (HTTP client, upload and download), encryption and encoding (uo_crypto/uo_rsa/SM2/SM3/SM4/base64), database (uo_database/uo_recordset), WebSuite components such as uo_datawindowex, uo_bson, uo_csv, uo_compress, uo_thread, as well as objects in sciter, web, web_client, haikang, painter libraries.
Set up Kysely with TiDB Cloud (TiDB X), including @tidbcloud/kysely over the TiDB Cloud serverless HTTP driver for serverless or edge environments, plus standard TCP usage. Use for Kysely + TiDB Cloud connection setup, demo snippets, and environment-specific guidance.
Guide for using the AI's persistent journal database
Expert guide for Drizzle ORM best practices, including schema definitions, queries, mutations, transactions, migrations, and performance optimization. Use when working with Drizzle ORM, database schemas, queries, or migrations.
Design and build database schemas and data models in MotherDuck. Produces a file-based project scaffold. Use when creating tables, choosing data types, defining relationships, or restructuring data for analytics workloads.
Architecture multitenant avec approche tiered (Shared/Dedicated Schema/DB), RBAC/ABAC, field-level encryption. Use when working with multitenant applications, tenant isolation, data segregation.
Recomenda arquitetura Laravel, infraestrutura VPS, banco, arquivos, IA, segurança e operação simples para o MVP SaaS.