Individual skill

migrating-to-amazon-redshift

Guides an end-to-end data-warehouse migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation, performance comparison, and reporting. Source-routed via `references/<source>/`; Teradata (Vantage) is the supported source; additional sources are added as their own `references/<source>/` sets. Text-only knowledge (no executable code) — the AI generates all execution at runtime. Applies when a user wants to migrate Teradata to Amazon Redshift, convert Teradata DDL/SQL/stored procedures/macros/BTEQ to Redshift/RSQL, or assess Teradata-to-Redshift migration complexity. Applies only to migrations targeting Amazon Redshift; migrations to other platforms (Snowflake, BigQuery, Databricks, etc.) are out of scope regardless of source. Does not cover general Redshift administration, performance tuning, or troubleshooting of existing Redshift clusters (no migration involved), or sources not listed under references/.

skills/specialized-skills/analytics-skills/migrating-to-amazon-redshift/SKILL.md

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# Migrating to Amazon Redshift

## What this skill is

This skill is **AI guidance, not an execution framework**. It is **entirely Markdown
knowledge** (rules, mappings, patterns, best practices) — **no executable code**. All
execution — conversion, the discovery/migration/validation runners, dependencies, and
infrastructure — **you (the AI) generate at runtime** from this knowledge, tailored to the
customer's environment.

Principle: **knowledge over shipped code → less drift, nothing for the customer to run or
depend on, reliable first-time results.** Do not look for a pyproject, a tools package, an
orchestrator engine, or shipped scripts — there are none by design; you generate execution.