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DataPython

Aurora DSQL

Aurora DSQL is a Data skill for Claude Code, published by awslabs in agent-plugins.

867 stars145 forkson awslabs/agent-pluginsAdded 2026/08/22Repository updated 2026/08/21

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agent-pluginsagent-skillsagentsawscoding-agent-skillscoding-agents

Install in seconds

Install Aurora DSQL

Copy Aurora DSQL into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/awslabs/agent-plugins/tree/main/plugins/databases-on-aws/skills/dsql ~/.claude/skills/dsql

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/awslabs/agent-plugins.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/databases-on-aws/skills/dsql/SKILL.md in awslabs/agent-plugins
Installs to: ~/.claude/skills/dsql
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Aurora DSQL does

Aurora DSQL helps you build with Amazon Aurora DSQL by managing schemas, running queries, handling migrations, and diagnosing performance. Use it for IAM auth, multi-tenant patterns, bulk loads, and SQL compatibility checks.

Aurora DSQL is cataloged under Data on DirSkills. Aurora DSQL comes from a repository tagged agent-plugins, agent-skills, agents, aws and coding-agent-skills.

Documentation

README

Excerpt

Amazon Aurora DSQL Skill

Aurora DSQL is a serverless, PostgreSQL-compatible distributed SQL database. This skill covers direct query execution via MCP tools, schema management, migrations, multi-tenant isolation, IAM auth, and bulk data loading via aurora-dsql-loader.

Reference Files

Load these files as needed for detailed guidance:

Core:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Aurora DSQL

What else does awslabs publish alongside Aurora DSQL?
Aurora DSQL is one of 25 skills that DirSkills catalogs from awslabs/agent-plugins, the repository it ships in. Its siblings there include AWS Architecture Diagram, AWS Lambda and AWS Lambda Durable Functions. Each one is a separate skill with its own page in this directory, installs the same way Aurora DSQL does, and is maintained by awslabs in that same repository. The rest of the collection is listed on the awslabs/agent-plugins page.
How does Aurora DSQL compare to other Data skills?
Aurora DSQL ranks #497 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Aurora DSQL against them. Open each page to compare what they document and how they install.

More from awslabs/agent-plugins

Aurora DSQL is one of 25 skills cataloged on DirSkills from awslabs/agent-plugins.

See all 25 skills →

AWS Architecture Diagram

AWS Architecture Diagram generates validated draw.io XML for AWS system and cloud infrastructure diagrams. Use it to create new diagrams or turn CloudFormation, CDK, or Terraform into visuals with official AWS4 icons.

AWS Lambda

AWS Lambda helps design, build, deploy, test, and debug serverless applications with AWS Lambda and related services. Use it for Lambda functions, event sources, API Gateway, EventBridge, Step Functions, and other event-driven architectures.

AWS Lambda Durable Functions

AWS Lambda Durable Functions builds resilient, long-running multi-step applications with state persistence, retries, waits, and callbacks. Use it for durable serverless workflows, saga patterns, and local testing with the Durable test runner.

AWS Lambda Managed Instances

AWS Lambda Managed Instances evaluates, configures, and migrates workloads to Lambda on customer-managed EC2 capacity. Use it for steady, high-volume workloads, scheduled scaling, or comparing LMI with standard Lambda and EC2.

AWS Lambda MicroVMs

AWS Lambda MicroVMs builds and runs Firecracker-isolated serverless environments with snapshot resume. Use it for sandboxed code execution, interactive notebooks, long-lived sessions, or other port-listening workloads.

AWS Serverless Deployment

AWS Serverless Deployment helps scaffold and deploy serverless apps on AWS with SAM or CDK. Use it for templates, constructs, deployment workflows, and serverless CI/CD; for Lambda runtime behavior, use the aws-lambda skill.

More Data skills

Aurora DSQL is one of 668 Data skills cataloged on DirSkills, ranked #497 by stars among them.

Browse all Data skills →

Benchmark Methodology

Benchmark Methodology scores competitors across nine weighted dimensions using explicit 1–5 rubrics and a tension plot. Use it after competitive-platform-analysis to produce comparable, evidence-anchored profile cards for a competitive report.

Jupyter Notebook

Jupyter Notebook provides a stateful Python REPL via a live Jupyter kernel (hamelnb) so variables persist across executions. Use it for iterative data exploration, API inspection, and complex code development.

Solana

Solana queries wallets, token holdings, transactions, NFTs, whale transfers, and network stats on the Solana blockchain with USD pricing via CoinGecko. Use it when you need to inspect an address, verify a transaction, check token metadata or prices, or monitor network health.