Individual skill

redshift-guide

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 INDEX, string_agg, pg_catalog, text type, SERIAL, stl_query. Triggers on: Redshift SQL, Redshift CREATE TABLE, Redshift COPY/UNLOAD, slow or suddenly slow Redshift query, EXPLAIN plan, queue wait, stale statistics/ANALYZE, result cache, Redshift permission denied, Redshift disk full, storage growth, snapshot/backup cost, ghost rows/bloat, VACUUM, spill to disk, distribution skew, Redshift system views, QUALIFY, PIVOT, MERGE, materialized views, Redshift Data API (Python/boto3), Redshift workload management (WLM), concurrency scaling, Redshift resize, Spectrum, awsdatacatalog, connection failures (SSL/TLS, ODBC/JDBC, connection limit), IAM/SAML federation, IAM Identity Center, datashares. Does NOT apply to: S3 policies, Athena, Glue/Iceberg outside Redshift, Aurora, RDS, DynamoDB.

plugins/aws-data-analytics/skills/redshift-guide/SKILL.md

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# Amazon Redshift Guide

## Redshift is NOT PostgreSQL (read first)

Redshift speaks PostgreSQL's wire protocol and shares much of its surface syntax, so
LLMs assume PostgreSQL behavior carries over — it frequently does not. Divergences span
system tables (`pg_catalog` is incomplete), DDL (no indexes, no sequences), functions
(`string_agg`, `SUBSTR` on tables, leader-node-only functions), types (a `text` column
becomes VARCHAR(256)), and comparison semantics (trailing blanks, unenforced constraints). **Assume
divergence and verify against the reference below — do not answer from PostgreSQL habit.**
Common PostgreSQL→Redshift divergences are in `references/redshift-sql-syntax.md`.

**Works best with** the [AWS MCP server](https://docs.aws.amazon.com/agent-toolkit/) — it runs the
AWS CLI and Redshift Data API calls below in a sandboxed, audit-logged environment. All