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redshift-api

Run Amazon Redshift Data API queries and retrieve paginated results.

37|13|Updated Jun 23, 2026
Search Tags:#sql#pagination#query execution#redshift#data api#catalog browsing
One-click install
npx skills add https://github.com/anthropics/claude-tag-plugins --skill redshift-api
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: redshift-api
Source: https://github.com/anthropics/claude-tag-plugins/tree/main/redshift/skills/redshift-api
Command: npx skills add https://github.com/anthropics/claude-tag-plugins --skill redshift-api

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, jq, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill removes the friction of working with Amazon Redshift through the Data API by turning raw query submission, polling, and result retrieval into a guided workflow.

Core Features & Use Cases

  • Run SQL against provisioned clusters or serverless workgroups without manually managing request plumbing.
  • Poll statement status, page through large result sets, and decode typed cells into readable output.
  • Browse databases, schemas, tables, and columns when you need to inspect a warehouse or verify table structure.
  • Cancel long-running statements and execute multi-statement transactions when you need tighter control over Redshift jobs.

Quick Start

Ask the assistant to run your Redshift query, wait for completion, and return the results in a readable table.

Frequently Asked Questions about redshift-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run Amazon Redshift Data API queries without managing request plumbing?▼

To run Redshift Data API queries, you submit SQL through signed POST requests and poll statement status until completion. This workflow handles provisioned clusters and serverless workgroups automatically.

What is the best way to page through large Redshift Data API result sets?▼

Paging through large Redshift Data API result sets requires retrieving statement results and decoding typed cells into readable output. This workflow handles pagination natively to return complete query responses.

How do I browse databases, schemas, and tables in a Redshift warehouse?▼

Browsing Redshift catalog metadata involves querying databases, schemas, tables, and columns via the Data API. This process inspects warehouse structure and verifies table layouts using signed requests.

Can I execute multi-statement transactions or cancel long-running Redshift SQL statements?▼

Yes, you can execute multi-statement transactions and cancel long-running Redshift SQL statements. The Data API supports statement cancellation and transaction control for tighter job management.

Do I need curl and jq to execute Redshift Data API queries?▼

Yes, you need curl and jq to execute Redshift Data API queries. These dependencies handle signed POST requests and decode typed JSON cell responses into readable output formats.

Does the Redshift Data API work with both provisioned clusters and serverless workgroups?▼

Yes, the Redshift Data API works with both provisioned clusters and serverless workgroups. It requires correct connection fields to execute SQL, poll status, and retrieve results across both environments.

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