Skills for “sql”

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…

…of source type SNOWFLAKE by default, and generating Spark SQL for schemas, tables and views from an approved Snowflake plan only when the user has explicitly asked for a Standard catalog. This stage copies no data -…

…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…

…need stage/task timings, skew, shuffle/spill, executor, or SQL-execution details. Lightweight triage — for deep performance tuning (skew/spill/shuffle/joins/AQE/Delta) use the `aidp-spark-optimization`…

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…

Create and manage standalone reusable AIDP agent Tools — SQL, Prompt, RAG, HTTP, Custom, and MCP tools that can be shared across agent flows by key. Use when the user wants to define a reusable tool (not inline in one…

…and a trivial SELECT 1 cell via $HOME/.aidp/aidp_sql.py). Use on first run, when the user asks to "set up / configure / install / bootstrap AIDP", or when control-plane or SQL calls fail with auth/config…

…pipeline on quality. Expresses each rule as bounded Spark SQL and reports pass/fail with offending…

…build an interactive notebook (e.g. with widgets + Spark SQL + Plotly). Notebook FILE ops run via the Notebook contents REST API; CELL EXECUTION runs via…

…a dataset's shape before using it. Runs bounded Spark SQL via the bundled aidp_sql.py…

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…

…data estate, plan a migration to AIDP, translate Athena SQL or Glue ETL/PySpark to Spark on AIDP, or verify a migration's output. Wraps the `aws-aidp` CLI, with the verbs inventory, plan, migrate and…

…without downtime: WordPress sites from a files archive and SQL dump, static and PHP sites from an archive, Node.js apps from source. Creates the website on the real domain, imports files and database, tests the copy…

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>/`;…

…schema changes to a target database, and converting SQL statements between database engines. Applies when migrating database schemas between heterogeneous engines using AWS DMS Schema…