Database
Database management and queries
snowflake-expert
by personamanagmentlayer
Expert-level Snowflake data warehouse platform, virtual warehouses, data sharing, streams, tasks, and SQL optimization
reflexion
by axiomantic
Use when roundtable returns ITERATE verdict in the Forged workflow. Analyzes feedback to extract root causes, stores reflections in the forge database, identifies patterns across failures, and provides guidance for retry attempts. Prevents repeated mistakes across iterations.
performance-optimization
by ThibautBaissac
Identifies and fixes Rails performance issues including N+1 queries, slow queries, and memory problems. Use when optimizing queries, fixing N+1 issues, improving response times, or when user mentions performance, slow, optimization, or Bullet gem.
openspec-continue-change
by alibaba
Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.
openspec-continue-change
by alibaba
Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.
openspec-new-change
by alibaba
Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.
openspec-new-change
by alibaba
Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.
druid
by alibaba
阿里云计算平台DataWorks(https://help.aliyun.com/document_detail/137663.html) 团队出品，为监控而生的数据库连接池
openspec-apply-change
by alibaba
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
backend-architect
by aibangjuxin
You are a seasoned backend architect with deep expertise in designing scalable, resilient, and secure server-side systems. You are proficient in multiple programming languages (like Go, Python, Node.js), database technologies (SQL and NoSQL), and cloud-native architectures (microservices, serverless). You prioritize system performance, data integrity, and long-term maintainability.
arc-diagrams
by arach
Create architecture diagrams using Arc's JSON format. Use when asked to "create an architecture diagram", "draw a system diagram", "visualize the architecture", or "make a diagram of".
performance-optimisation
by nicholasgriffintn
Analyses and optimises performance across frontend, backend and database interactions. Identifies bottlenecks and implements solutions to enhance speed and efficiency.
quarkus-panache-smells
by emvnuel
Detects and refactors ORM code smells in Quarkus Panache applications using the Repository pattern. Use when reviewing PanacheRepository code, diagnosing N+1 queries, data overfetching, or pagination issues.
ralph
by Dr4gon42
"Autonomous agent loop for completing features. Use when asked to 'use ralph', 'ralph this', or to autonomously implement a feature end-to-end. Creates prd.json with user stories, then executes them one by one until complete."
Vibe Security Skill
by Bigtablet
This skill helps Claude write secure web applications. Use when working on any web application to ensure security best practices are followed.
rails-query-object
by ThibautBaissac
Creates query objects for complex database queries following TDD. Use when encapsulating complex queries, aggregating statistics, building reports, or when user mentions queries, stats, dashboards, or data aggregation.
producthunt
by dylanfeltus
Search Product Hunt launches, products, and makers via the GraphQL V2 API. Use when the user asks about Product Hunt launches, trending products, or wants to research a product's reception. Requires a free developer token (~2 min setup).
data-product-thinking
by hollandkevint
First-principles reasoning for data product decisions. Frames problems as data products, not dashboards or pipelines. Use when evaluating data product strategy, making build-vs-buy decisions, scoping data product features, assessing product-market fit for data offerings, or when someone asks "should we build this data product?"
prisma-workflow
by sabahattinkalkan
Prisma ORM best practices, schema design, migrations, seeding, and query optimization for PostgreSQL. Use when working with database schemas, migrations, or Prisma queries.
dotnet-testing-advanced-testcontainers-database
by kevintsengtw
使用 Testcontainers 進行容器化資料庫測試的專門技能。當需要測試真實資料庫行為、使用 SQL Server/PostgreSQL/MySQL 容器、測試 EF Core/Dapper 時使用。涵蓋容器啟動、資料庫遷移、測試隔離、容器共享等。 Keywords: testcontainers, 容器測試, container testing, database testing, 資料庫測試, MsSqlContainer, PostgreSqlContainer, MySqlContainer, EF Core testing, Dapper testing, Testcontainers.MsSql, Testcontainers.PostgreSql, GetConnectionString, IAsyncLifetime, CollectionFixture
dotnet-testing-advanced-aspire-testing
by kevintsengtw
.NET Aspire Testing 整合測試框架完整指南。當需要測試 .NET Aspire 分散式應用程式、設定 AppHost 測試或從 Testcontainers 遷移至 Aspire 測試時使用。涵蓋 DistributedApplicationTestingBuilder、容器生命週期管理、多服務編排、Respawn 配置與時間可測試性設計。 Keywords: aspire testing, .NET Aspire, DistributedApplicationTestingBuilder, AppHost testing, 分散式測試, AspireAppFixture, IAsyncLifetime, ContainerLifetime.Session, 雲原生測試, 多服務整合, Aspire.Hosting.Testing, Respawn
dotnet-testing-advanced-testcontainers-nosql
by kevintsengtw
Testcontainers NoSQL 整合測試完整指南。當需要對 MongoDB 或 Redis 進行容器化整合測試時使用。涵蓋 MongoDB 文件操作、Redis 五種資料結構、Collection Fixture 模式。包含 BSON 序列化、索引效能測試、資料隔離策略與容器生命週期管理。 Keywords: testcontainers mongodb, testcontainers redis, mongodb integration test, redis integration test, nosql testing, MongoDbContainer, RedisContainer, IMongoDatabase, IConnectionMultiplexer, BSON serialization, BsonDocument, 文件模型測試, 快取測試, Collection Fixture
database-migrations
by ThibautBaissac
Creates safe database migrations with proper indexes and rollback strategies. Use when creating tables, adding columns, creating indexes, handling zero-downtime migrations, or when user mentions migrations, schema changes, or database structure.
gilfoyle
by axiomhq
SRE agent that does what you can't. Queries your observability stack. Finds root causes. Doesn't panic. Doesn't guess. Doesn't care about your feelings. Use for incident response, debugging, root cause analysis, or log analysis.