Databases
445 skills.
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prisma-next-quickstartprisma1.9KAdopt Prisma Next into a new project, onto an existing database, or as the first move after a bootstrap tool dropped you into a scaffold. Use for "what can I do with Prisma Next", "what can I do next with Prisma", "where do I start", "what should I do first", "just ran createprisma", "createprisma", "npx createprisma", "npx create-prisma", "first steps", "first query", "I have a scaffolded Prisma Next project what now"; for `pnpm dlx prisma-next init` greenfield setup; and for `prisma-next contrreviewing-oracle-to-postgres-migrationgithub1.9KIdentifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.migrating-oracle-to-postgres-stored-proceduresgithub1.9KMigrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies explicit collation mapping (`COLLATE "C"` only when appropriate, locale collations when required). Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.typeormmindrally1.9KGuidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databasescreating-oracle-to-postgres-master-migration-plangithub1.9KDiscovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.turso-cloudtursodatabase1.9KTurso Cloud — fully managed SQLite-compatible database platform, accessed over the network. Use when connecting an application to a Turso Cloud database, creating or scoping auth tokens (JWT, fine-grained permissions, JWKS/external auth providers), or provisioning and managing cloud databases. Covers per-language SDKs (JavaScript/TypeScript, Python, Go, Rust), authentication & authorization, and marketplace integrations (Vercel).ef-corecodewithmukesh1.8KEntity Framework Core patterns for .NET 10. Covers DbContext configuration, migrations workflow, interceptors, compiled queries, ExecuteUpdateAsync, ExecuteDeleteAsync, value converters, and query optimization. Load this skill when working with databases, writing queries, managing schema changes, or when the user mentions "EF Core", "Entity Framework", "DbContext", "migration", "LINQ query", "database", "SQL", "N+1", "Include", "split query", "value converter", "interceptor", or "compiled query"cachingcodewithmukesh1.8KCaching strategies for .NET 10 applications. Covers HybridCache (the default), output caching, response caching, and distributed cache patterns. Load this skill when implementing caching, optimizing read performance, reducing database load, or when the user mentions "cache", "HybridCache", "Redis", "output cache", "response cache", "distributed cache", "IMemoryCache", "cache invalidation", "stampede protection", or "cache-aside".senior-data-engineerdavila71.8KWorld-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.postgresql-database-engineeringmanutej1.8KComprehensive PostgreSQL database engineering skill covering indexing strategies, query optimization, performance tuning, partitioning, replication, backup and recovery, high availability, and production database management. Master advanced PostgreSQL features including MVCC, VACUUM operations, connection pooling, monitoring, and scalability patterns.migratecodewithmukesh1.7KGuided, safe migration workflow covering EF Core schema migrations, .NET version upgrades, and NuGet dependency updates — each with rollback strategies and verification steps. Invoke when: "add migration", "update database", "create migration", "schema change", "new table", "rename column", "upgrade nuget", "update packages", "dependency update", "version upgrade", ".NET upgrade".querying-aws-redshiftaws1.7KEnables Redshift system-table (SYS_*) log publishing to S3 Tables in Apache Iceberg format for both Provisioned clusters and Serverless namespaces, verifies publishing status, and queries the published logs via any Iceberg-compatible engine including Redshift and Athena. Covers system tables such as sys_query_history, sys_query_text, sys_connection_log, sys_query_detail, and sys_session_history. Applies when turning on S3 Tables log publishing for a cluster or namespace, confirming publishing std1-drizzle-schemajezweb1.7KGenerate Drizzle ORM schemas for Cloudflare D1 databases with correct D1-specific patterns. Produces schema files, migration commands, type exports, and DATABASE_SCHEMA.md documentation. Handles D1 quirks: foreign keys always enforced, no native BOOLEAN/DATETIME types, 100 bound parameter limit, JSON stored as TEXT. Use when creating a new database, adding tables, or scaffolding a D1 data layer.qdrant-clients-sdkqdrant1.7KQdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.knowledge-catalog-discoverycline1.7KUse these skills when you need to discover and explore data assets in the Knowledge Catalog. It allows you to search for entries, lookup specific metadata, and explore aspect types to understand your data platform's assets.mongodbhoodini1.6KWork with MongoDB databases using best practices. Use when designing schemas, writing queries, building aggregation pipelines, or optimizing performance. Triggers on MongoDB, Mongoose, NoSQL, aggregation pipeline, document database, MongoDB Atlas.zarr-pythonk-dense-ai1.6KChunked N-D arrays for cloud storage (Zarr-Python 3). Compressed arrays, parallel I/O, S3/GCS via fsspec, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.redis-semantic-cacheredis1.6KRedis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.tiledbvcfk-dense-ai1.6KEfficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.tinybirdtinybirdco1.6KTinybird file formats, SQL rules, optimization patterns, and best practices for datasources, pipes, endpoints, and materialized views.lamindbk-dense-ai1.6KUse when working with LaminDB, the open-source lineage-native lakehouse for biological datasets and models. Covers setup, artifact registration, query/search, lineage tracking, validation, ontology-backed annotation with Bionty, collections, branches, storage, and workflow integrations.tigris-object-operationstigrisdata1.6KUse when working with objects in Tigris Storage - uploading, downloading, deleting, listing, getting metadata, or generating presigned URLsdrizzlebobmatnyc1.6KType-safe SQL ORM for TypeScript with zero runtime overheadqdrant-performance-optimizationqdrant1.6KNavigation hub linking sub-skills for proactive Qdrant tuning: search speed, indexing performance, and memory usage optimization. Use when planning configuration or capacity changes to improve speed and efficiency. For diagnosing an active production slowdown or analyzing live metrics, use qdrant-monitoring instead.file-storagetigrisdata1.6KUse when working with Tigris file storage - uploading, downloading, deleting, listing files, presigned URLs, client uploads, or setting up Tigris CLI and SDK. Covers Next.js, Remix, Express, Rails, and Laravel. For Python/Django, see the tigris-python-sdk skill.redis-clusteringredis1.6KRedis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET / SDIFF / pipelines, configuring a multi-key transaction in a cluster, or routing reads to replicas for caches, analytics, or dashboards.tigris-s3-migrationtigrisdata1.6KUse when migrating from AWS S3, Google Cloud Storage, or Azure Blob to Tigris — shadow buckets via `tigris buckets set-migration`, active drain via `tigris buckets migrate`, bulk copy, SDK endpoint swap, zero-downtime migrationnekiplanetscale1.5KOverview and information about Neki, the sharded Postgres product by PlanetScale. Load when working with Neki-related tasks and the need to scale or shard postgres. Load when facing Postgres scaling or sharding issues.cloudbase-document-database-in-wechat-miniprogramtencentcloudbase1.5KUse CloudBase document database WeChat MiniProgram SDK to query, create, update, and delete data. Supports complex queries, pagination, aggregation, and geolocation queries.efcore-patternsaaronontheweb1.5KEntity Framework Core best practices including NoTracking by default, query splitting for navigation collections, migration management, dedicated migration services, and common pitfalls to avoid.vitessplanetscale1.5KVitess best practices, query optimization, and connection troubleshooting for PlanetScale Vitess databases. Load when working with Vitess databases, sharding, VSchema configuration, keyspace management, or MySQL scaling issues.planetscale-best-practices-matrixplanetscale1.5KA concise feature matrix for deciding which PlanetScale safety, observability, and automation recommendations apply by engine.planetscale-postgres-safety-reviewplanetscale1.5KReview PlanetScale Postgres for Traffic Control, query tags, roles, pg_strict, backups/PITR, private connectivity, webhooks, branches, and safe agent operation.postgres-best-practicesneondatabase1.5KBest 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.planetscale-query-insights-and-tagsplanetscale1.5KUse PlanetScale Insights and SQLCommenter-style query tags to attribute database load, identify risky queries, and prepare safe Traffic Control or schema recommendations.planetscale-schema-recommendations-agent-loopplanetscale1.5KSafely triage PlanetScale schema recommendations and turn them into reviewed branches, migrations, issues, or pull requests without applying production changes.sf-soqljaganpro1.5KSOQL query generation, optimization, and analysis with 100-point scoring. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use sf-data), Apex DML logic (use sf-apex), or report/dashboard queries.planetscale-autonomous-execution-modeplanetscale1.5KExecute approved PlanetScale changes end-to-end without per-step approval when the operator has explicitly acknowledged the risk. Defines the risk-acknowledgment contract, scoped autonomy levels, sensible execution ordering, continuous status reporting, halt conditions, and rollback discipline. Extremely safe, very enabling.planetscale-safe-orchestratorplanetscale1.5KMaster skill that runs the full PlanetScale safe best-practices assessment — inventory, engine review, Insights, Traffic Control, webhooks, schema recommendations, codebase instrumentation, and agent operating model — then produces a unified recommendations report. Never applies changes without explicit approval. Use when the user asks to run the full assessment, all skills, or PlanetScale best-practices review.postgres-drizzleccheney1.4KWrite or review PostgreSQL schemas, queries, migrations, and Drizzle ORM code. Use for Postgres/Drizzle relations, indexing, pooling, or query performance; not for unrelated databases or generic backend work.n8n-data-tables-officialn8n-io1.4KUse when working with n8n's built-in Data Tables, designing schemas, inserting/updating/upserting rows, deduping, or querying. Triggers on "Data Table", "data table", `n8n-nodes-base.dataTable`, "dedup", "idempotency", "lookup", "persistent state", "store across executions", or any schema design discussion inside n8n.postgresql-best-practicesmindrally1.4KPostgreSQL development best practices for schema design, query optimization, and database administrationqdrant-scalingqdrant1.4KGuides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput or QPS', 'CPU is pegged / can't keep up with the request rate', 'one query is slow / p99 or tail latency too high', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', 'need to add capacity', 'large limit / pagination / scroll is slow', or 'only recent data matters / expiring old vectors / retention window'.sf-datajaganpro1.4KSalesforce data operations with 130-point scoring. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, or needs data factory patterns for Apex tests. DO NOT TRIGGER when: SOQL query writing only (use sf-soql), Apex test execution (use sf-testing), or metadata deployment (use sf-deploy).qdrant-model-migrationqdrant1.4KGuides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.analyzing-dataastronomer1.4KQueries the data warehouse with SQL and answers business questions about data. Use when answering anything that needs warehouse data - counts, metrics, trends, aggregations, joins across tables, data lookups, or ad-hoc SQL analysis (for example "who uses X", "how many Y", "show me Z", "find customers", "what is the count").planetscale-codebase-sqlcommenter-instrumentationplanetscale1.4KInspect an application repository connected to PlanetScale and recommend SQLCommenter-compatible query tagging packages and conventions.planetscale-change-gates-and-approval-contractplanetscale1.3KEnforce explicit approval gates for any PlanetScale, database, repository, credential, network, or automation mutation.wrencanner1.3KWren CLI for AI agents — a semantic SQL layer over 22+ databases (Postgres, MySQL, BigQuery, Snowflake, Spark, …). The actual workflow guides live inside the `wren` CLI itself; this is just a discovery stub. Use whenever the user asks a data question (how many, show me, top N, compare, trend, breakdown, metric, revenue, customers, orders), wants to install / set up Wren Engine, connect a new database, connect SaaS data via dlt (HubSpot, Stripe, Salesforce, GitHub, Slack), generate or regenerate planetscale-readonly-inventoryplanetscale1.3KCollect read-only evidence about PlanetScale org, database, branches, webhooks, backups, roles, Insights, recommendations, and traffic configuration.