Amazon Redshift Skill

Developer Tools

Domain knowledge for your AI assistant — workflow patterns, data model concepts, and gotchas for Amazon Redshift tools.

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SKILL.md

Amazon Redshift
SKILL.md

Domain knowledge for using Amazon Redshift data warehouse tools effectively

Amazon Redshift

Redshift uses PostgreSQL-compatible SQL. Data is organized in Schemas and Tables. Columnar storage optimizes analytical queries.

Data Model

  • Schemas — logical namespaces (e.g., public); contain tables.
  • Tables — identified by schema.table; have columns, distribution style, sort keys.
  • Rows — table data; accessed via SQL or row-level fetch.
  • Distribution — how data is spread across nodes (KEY, EVEN, ALL).
  • Column profiles — statistics and value distributions per column.

Gotchas

  • schema.table format: Always use fully qualified names (e.g., public.users) when referencing tables.
  • SSL required: Redshift connections require SSL; use require or verify-full.
  • Query timeout: Long-running queries may time out; consider LIMIT or more selective filters.

Use with Amazon Redshift Bundle

This skill teaches your AI assistant domain knowledge. To actually execute Amazon Redshift API calls, enable the MCP bundle — the skill and bundle work together.

Ready to use Amazon Redshift?

Install the skill for domain knowledge, enable the bundle for authenticated tool access

What is a Skill?

Amazon Redshift Skill - MCP Bundles