AI tools for “sql”
340 results (tools & skills) · 240 ms · understood as category: Coding
Ground text-to-SQL work in DataHub catalog evidence. Use when a user asks to write, draft, debug, or execute SQL; answer a data question that requires SQL; calculate a metric; query named tables; or investigate SQL…
Run SQL against a database through DataRobot with a JDBC URL (or host, port, and database) and credentials you supply; no DataRobot data connection needed. Also use it to point an existing app such as Talk to My Data at…
Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.
Write and debug Flink SQL that runs on Confluent Cloud, enforcing the CC-vs-Apache-Flink (OSS) dialect boundary. Use when the working directory is a Confluent Cloud Flink workspace, when a Flink SQL statement needs…
…schemas, tables, or columns, preview a table, or run a SQL SELECT against any database connected in DataRobot; or run INSERT/UPDATE/DELETE/MERGE/CREATE (DML/DDL) through a Snowflake, Databricks, BigQuery, SAP…
Convert JPG or JPEG table images to editable Excel online. Free to start with AI OCR that detects rows and columns, then download XLSX, XLS, or CSV.
Build a VillageSQL extension — custom SQL functions or custom types — in C++ or Rust, including a port of an existing PostgreSQL extension. Use when the user wants to create, scaffold, test, or port a VillageSQL (VEF)…
Creates product analytics or SQL-backed box plot insights in PostHog. Use when a user asks to create, build, or save a box plot, visualize a numeric distribution, compare quartiles or medians across dates or groups, or…
Use Superset MCP tools for SQL execution, SQL Lab links, and saved SQL queries. Use only for MCP tool workflows; do not use for direct API work.
Run or route SQL Lab execution, result retrieval, exports, query stop, saved-query mutation, and permalink workflows through direct Superset API calls. Use only for direct API workflows; Do not use for MCP-only work.
Inspect Preset SQL Lab bootstrap, query history, saved queries, result/export routing, query control, and SQL execution routing through direct Superset API calls. Use only for direct API workflows; Do not use for…
…queries, busy sessions, and active transactions using SQL-only interfaces. Use when users report cluster slowness, high CPU, or need to find runaway queries and their source applications without DB Console…
Use when writing, generating, or optimizing SQL for CockroachDB, designing CockroachDB schemas, or when the user asks about CockroachDB-specific SQL patterns, type mappings, and distributed database best practices. Also…
Use when the user wants to run SQL — especially analytical SQL — on local files (parquet/csv/json), URLs, S3 paths, or remote databases (Postgres, MySQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake) without setting…
Catalyst NoSQL — key-value table store with typed items built via NoSQLItem builder. Partition key required. Trigger on 'NoSQL', 'nosql.table', 'insertItems', 'fetchItem', 'updateItems', 'deleteItems', 'queryTable',…
…and troubleshooting guidance for Amazon RDS for SQL Server. Applicable when users ask about SSMS times out connecting from EC2, Cannot generate SSPI context with Windows auth, connect RDS SQL Server from…
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers…
Runs SQL queries on CloudWatch Logs data exported as Apache Iceberg tables in S3 Tables. Covers VPC Flow Logs, WAF logs, CloudFront access logs, Route 53 resolver logs, Network Firewall logs, EKS audit logs, Verified…
…testing * Model comparison * ML * Data analysis SQL/BigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization…
…transforming, or writing data with PySpark or Spark SQL, including Apache Iceberg / BigLake Iceberg tables, BigQuery, GCS, Spanner, or Cloud SQL. - Building PySpark ETL pipelines, machine learning workloads, or…