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Found 260 Skills
Creates Robot Framework test cases for SnapLogic account creation. Use when the user wants to create accounts (Oracle, PostgreSQL, Snowflake, Kafka, S3, etc.), needs to know what environment variables to configure, or wants to see account test case examples.
Configure data accelerators for local materialization and caching in Spice (Arrow, DuckDB, SQLite, Cayenne, PostgreSQL, Turso). Use when asked to "accelerate data", "enable caching", "materialize dataset", "configure refresh", "set up local storage", "improve query performance", "choose an accelerator", or "configure snapshots".
Better Auth — framework-agnostic TypeScript authentication & authorization library. Covers setup, email/password, social OAuth (40+ providers), passkeys, magic links, 2FA, organizations, sessions, plugins, admin, hooks, and security hardening. Use when implementing auth with Better Auth: configuring auth instances, adding providers, setting up database adapters (Prisma, Drizzle, PostgreSQL, MySQL, SQLite, MongoDB), integrating with frameworks (Next.js, Nuxt, SvelteKit, Astro, Hono, Express, Elysia, Fastify, Expo), managing sessions, or extending with plugins.
Use this skill whenever writing, reviewing, or refactoring Terraform code that provisions Azure resources. The skill enforces Microsoft Cloud Security Benchmark (MCSB) controls, CIS Azure Foundations Benchmark v2.0 rules, Azure Well-Architected Framework Security Pillar recommendations, and all Terraform IaC best practices that prevent Microsoft Defender for Cloud security recommendations from being raised. Activate whenever the user mentions Azure, azurerm provider, ARM, Defender for Cloud, Terraform on Azure, AKS, App Service, Storage, Key Vault, SQL, PostgreSQL, MySQL, Redis, Service Bus, Event Hub, Cosmos DB, API Management, or any Azure PaaS in a Terraform context — even if they don't explicitly ask about security or MDC.
Open-source lightweight cross-platform database management tool built with Tauri, Vue 3, and Rust supporting MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, ClickHouse, and SQL Server.
Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/AlloyDB Omni/MySQL/Oracle/MSSQL/CockroachDB/Yugabyte/MongoDB/GizmoSQL/Redis/Spanner/BigQuery/Azurite/MinIO tests. Not for mocked DBs.
Creates new Robot Framework test cases for SnapLogic pipeline testing. Use when the user wants to create a new test file, add test cases to existing files, or needs test templates for specific system types (Oracle, PostgreSQL, Snowflake, etc.).
Database sharding for PostgreSQL/MySQL with hash/range/directory strategies. Use for horizontal scaling, multi-tenant isolation, billions of records, or encountering wrong shard keys, hotspots, cross-shard transactions, rebalancing issues.
This skill should be used when the user asks to "create a new FastAPI project", "setup a fastapi api", "new fastapi project", "scaffold a fastapi app", "initialize a fastapi backend", or "start a new python api". Scaffolds a complete production-ready FastAPI project with SQLAlchemy, PostgreSQL, JWT auth, Pydantic v2 settings, and uv package management.
Add a Docker dev service to this project. Supported services: Redis, RabbitMQ, PostgreSQL, MySQL/MariaDB, MongoDB. Writes Docker Compose and Taskfile configs to .devtools/.
Use this skill whenever working with QuestDB — a high-performance time-series database. Trigger on any mention of QuestDB, time-series SQL with SAMPLE BY, LATEST ON, ASOF JOIN, ILP ingestion, or the questdb Python/Go/Java/Rust/.NET client libraries. Also trigger when writing Grafana queries against QuestDB, creating materialized views for time-series rollups, working with order book or financial market data in QuestDB, or any SQL that involves designated timestamps or time-partitioned tables. QuestDB extends SQL with unique time-series keywords — standard PostgreSQL or MySQL patterns will fail. Always read this skill before writing QuestDB SQL to avoid hallucinating incorrect syntax.
Implement AI Coaching best practices on AnalyticDB for PostgreSQL (ADBPG): Leverage Supabase projects (training data management) + ADBPG instances with vector optimization to build RAG-driven coaching systems that guide users through domain-specific workflows, decision-making, or skill development. Use when: User wants to create Supabase projects (spb-xxx), ADBPG instances (gp-xxx), vector knowledge bases, or RAG-driven coaching systems on ADBPG. Triggers: "Supabase", "ADBPG", "vector database", "knowledge base", "RAG", "AI coaching", "coaching system", "spb-xxx", "gp-xxx"