Skills for “sql”

Read or write Microsoft SQL Server from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions SQL Server, MSSQL, or has a TDS host/port. Auth is host/port + database +…

…OCI Streaming, Object Storage, Iceberg, plus PostgreSQL, MySQL/HeatWave, Db2, SQL Server, Azure SQL, Hive, Snowflake, Google BigQuery, Azure ADLS, AWS S3, Salesforce, NetSuite, generic REST, custom JDBC,…

Answer a VillageSQL question from the published documentation at villagesql.com/docs. Use when the user asks how a VillageSQL feature, extension, SQL statement, system variable, or error message works.

Get a working VillageSQL server on this machine and prove it works — choose an install path (installer, Docker, or source), start the server, connect, load a bundled extension, and call one of its functions. Also covers…

Read or write Azure SQL Database from an AIDP notebook through the AIDP `aidataplatform` Spark format handler. Use when the user mentions Azure SQL, Azure SQL Database, AZURE_SQLSERVER, or a database.windows.net…

…a Microsoft Fabric workspace (notebooks, Warehouse T-SQL, Dataflow Gen2 / Power Query M, Data Pipelines, Lakehouse shortcuts, OneLake paths) to Oracle AI Data Platform. Use when the user wants to inventory a…

Write-side Spark SQL on the AIDP lakehouse — DDL (CREATE/ALTER/DROP table·view·schema), DML (INSERT/UPDATE/DELETE/MERGE upsert), and Delta maintenance (OPTIMIZE, VACUUM, time travel, RESTORE, schema evolution, liquid…

…layer (.aidp/semantic.md) for AIDP — logical entity names, SQL-defined metrics, joins with cardinality, synonyms, and value dictionaries. Use when the user wants to define metrics/business terms, improve NL-to-SQL…

Register and validate reusable question→Spark-SQL pairs in .aidp/verified-queries.md so the agent reuses trusted SQL before generating new SQL. Use when the user wants to save a working query as canonical, build a…

…refresh catalog metadata, or test a connection. For SQL-native CREATE/ALTER/DROP use aidp-sql-ddl; for file→table ingestion use aidp-ingest-file-to-table; for browsing use…

Run LLM functions inside Spark SQL on AIDP via ai_generate(). Use when the user wants to summarize/classify/extract/enrich rows with an LLM directly in SQL, generate narratives over aggregated results, or do grounded…

…business questions over the AIDP lakehouse with Spark SQL. Use when the user asks a data question ("how many…", "top N…", "show me…", "trend of…", "revenue by…") or wants to run ad-hoc Spark SQL. Grounds in…

Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog state, and metadata…

…migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation, performance comparison, and reporting. Source-routed via `references/<source>/`;…

Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans, and develops apps on serverless distributed SQL. Covers IAM…

Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile…

Amazon Redshift is NOT PostgreSQL; corrects LLM mistakes; covers SQL, metadata, connectivity/auth, storage, query performance, and operations. Applies ONLY to Redshift (provisioned or Serverless). Pushes back on: CREATE…

Explains slow SQL queries in plain English, reads EXPLAIN plans, and suggests concrete rewrites and indexes for PostgreSQL, MySQL, and SQLite, including ORM-generated N+1 problems. Use when the user shares a slow query,…

…apps on their version with provider references for PostgreSQL, MySQL, SQLite, SQL Server, CockroachDB, MongoDB, and Prisma…

…'outbound pipeline stages,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automation,' 'marketing-to-sales handoff,' 'data hygiene,' 'leads aren't getting to sales,' 'pipeline management,'…