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Found 22 Skills
Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
BK-CI 数据库设计规范与表结构指南，涵盖命名规范、字段类型选择、索引设计、分表策略、数据归档。当用户设计数据库表、优化索引、规划分表策略或进行数据库架构设计时使用。
Airtable database automation - views, automations, integrations, and workflow triggers
Summarize database schema design from requirement inputs and produce implementation-ready outputs for Go + Ent in this repository. Use when the input may be a prompt, Markdown requirement document, repository folder, or runnable demo behavior and you need entity extraction, field/constraint design, weak-relation ID strategy, index planning, Ent schema guidance, and concrete bind/render/service integration impacts.
Supabase development guidelines for database, authentication, real-time subscriptions, and Edge Functions.
Data modeling with Entity-Relationship Diagrams (ERDs), data dictionaries, and conceptual/logical/physical models. Documents data structures, relationships, and attributes.
Get best practices for Entity Framework Core
This skill provides PostgreSQL-specific patterns for database design, optimization, and transaction management
Best practices and guidelines for working with Postgres. Covers schema design, indexing strategies, query optimization, migrations, and common pitfalls. Use when writing SQL, designing database schemas, optimizing queries, or setting up a Postgres database.
World-class backend engineering - distributed systems, database architecture, API design, and the battle scars from scaling systems that handle millions of requestsUse when "backend, api, database, postgres, mysql, mongodb, redis, graphql, rest, authentication, authorization, caching, queue, background job, webhook, migration, transaction, n+1, rate limit, server, node.js, python, go, backend, api, database, architecture, performance, reliability, security" mentioned.
Guides developers in selecting and implementing multi-region patterns for CockroachDB applications, covering active-passive vs active-active architectures, REGIONAL BY ROW, GLOBAL tables, manual geo-partitioning with lease preferences, and live demo setup with validation queries. Use when designing multi-region database topologies, choosing between REGIONAL BY ROW and manual partitioning, building multi-region demos, or optimizing cross-region latency.
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.