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Found 1,806 Skills
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Prisma ORM for TypeScript - Type-safe database toolkit with schema-first development, auto-generated client, migrations, relations, and Prisma Studio
Subscribe to realtime changes in Supabase using WebSocket connections. Use for listening to database changes, presence tracking, and broadcast messaging.
Database schema design, indexing, and migration guidance for MongoDB-based applications.
Implement persistence layers with Spring Data JPA. Use when creating repositories, configuring entity relationships, writing queries (derived and @Query), setting up pagination, database auditing, transactions, UUID primary keys, multiple databases, and database indexing. Covers repository interfaces, JPA entities, custom queries, relationships, and performance optimization patterns.
Assists with SAP HANA Developer CLI (hana-cli) for database development and administration. Use when: installing hana-cli, connecting to SAP HANA databases, inspecting database objects (tables, views, procedures, functions), managing HDI containers, executing SQL queries, converting metadata to CDS/EDMX/OpenAPI formats, managing SAP HANA Cloud instances, working with BTP CLI integration, or troubleshooting hana-cli commands. Covers: 91 commands, 17+ output formats, HDI container management, cloud operations.
Use this skill to analyze an existing PostgreSQL database and identify which tables should be converted to Timescale/TimescaleDB hypertables. **Trigger when user asks to:** - Analyze database tables for hypertable conversion potential - Identify time-series or event tables in an existing schema - Evaluate if a table would benefit from Timescale/TimescaleDB - Audit PostgreSQL tables for migration to Timescale/TimescaleDB/TigerData - Score or rank tables for hypertable candidacy **Keywords:** hypertable candidate, table analysis, migration assessment, Timescale, TimescaleDB, time-series detection, insert-heavy tables, event logs, audit tables Provides SQL queries to analyze table statistics, index patterns, and query patterns. Includes scoring criteria (8+ points = good candidate) and pattern recognition for IoT, events, transactions, and sequential data.
Qdrant vector database: collections, points, payload filtering, indexing, quantization, snapshots, and Docker/Kubernetes deployment.
Support local workflow platform development in the DAP workspace across frontend, backend, and infra teams. Provides access to Kubernetes (Kind), Tilt service management, database queries, and troubleshooting. Use when building backend/API features, adjusting infra configurations, checking logs, running tests, or debugging issues against locally deployed workflow engine components.
Use when running tests to validate implementations, collecting test evidence, or debugging failures. Load in TEST state. Covers unit tests (pytest/jest), API tests (curl), browser tests (Claude-in-Chrome), database verification. All results are code-verified, not LLM-judged.
Working with sqlc and database queries
Deploy applications to Railway. Use when deploying services, databases, or full-stack applications to Railway PaaS. Covers Railway CLI and configuration.