What are the best Claude Code skills for AWS?
agents-deploy from aws/agent-toolkit-for-aws is the highest-scoring Claude Code skill for AWS, at 89/100 (grade B) on the Suede Skill Check. The table below compares the top 15 of 92 listed AWS skills from 6 repositories by score, publisher and license, using the October 22, 2026 snapshot of SuedeAI.directory.
- 92 listed AWS skills
- 10 full pages scoring 80+
- 6 repositories
Compare 15 Claude Code skills for AWS
Ranked by Suede Skill Check score. Linked names open the directory listing; scores come from the published rubric.
| Skill | Publisher | Suede Skill Check | License | What it does |
|---|---|---|---|---|
| agents-deploy | aws Official aws/agent-toolkit-for-aws | 89/100 · B | Apache-2.0 | Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK/IAM/quota error diagnosis, version management… |
| aws-sst-development | zxkane zxkane/aws-skills | 86/100 · B | MIT | Guides managing AWS resources as code with SST v4 and Pulumi, including sst.config.ts, infra modules, resource links, IAM scoping, and sst deploy workflows. |
| aws-cdk-development | zxkane zxkane/aws-skills | 85/100 · B | MIT | Guides building AWS cloud infrastructure with CDK in TypeScript or Python, covering app structure, construct patterns, stack composition, and deployment workflows. |
| hf-cloud-python-env-setup | Hugging Face Official huggingface/skills | 85/100 · B | Apache-2.0 | Sets up an isolated Python environment with the right Python version and current boto3 for SageMaker and other AWS automation work. |
| django-storages-s3 | jeffallan jeffallan/claude-skills | 84/100 · B | MIT | Use when configuring Django to store static and media files on AWS S3 with django-storages. Invoke when working with the STORAGES setting, S3… |
| cloud-architect | jeffallan jeffallan/claude-skills | 84/100 · B | MIT | Designs cloud architectures, migration plans, cost optimization recommendations, and disaster recovery strategies across AWS, Azure, and GCP. |
| terraform-engineer | jeffallan jeffallan/claude-skills | 84/100 · B | MIT | Use when implementing infrastructure as code with Terraform across AWS, Azure, or GCP. Invoke for module development (create reusable modules… |
| exploring-data-catalog | aws Official aws/agent-toolkit-for-aws | 84/100 · B | Apache-2.0 | Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory… |
| aws-agentic-ai | zxkane zxkane/aws-skills | 83/100 · B | MIT | Guides deploying and managing AI agents on AWS Bedrock AgentCore, covering Gateway, Runtime, Memory, Identity, Observability, Evaluations, MCP tool integration, and governance workflows. |
| hf-cloud-sagemaker-iam-preflight | Hugging Face Official huggingface/skills | 83/100 · B | Apache-2.0 | Ensures a usable SageMaker execution role exists before deploying or training, checking for existing roles first rather than blindly creating IAM roles. |
| hf-cloud-aws-context-discovery | Hugging Face Official huggingface/skills | 83/100 · B | Apache-2.0 | Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill before any… |
| launch-with-aws | aws Official aws/agent-toolkit-for-aws | 83/100 · B | Apache-2.0 | Migrates vibe-coded web applications to AWS. Handles the full workflow from analysis through migration to deployment, producing deployable AWS… |
| aws-ami-builder | HashiCorp Official hashicorp/agent-skills | 75/100 · C | MPL-2.0 | Build Amazon Machine Images (AMIs) with Packer using the amazon-ebs builder. Use when creating custom AMIs for EC2 instances. |
| aws-cloudwatch-investigation | GitHub Official github/awesome-copilot | 69/100 · D | MIT | Reusable investigation patterns for AWS CloudWatch: Logs Insights query templates, alarm-to-deployment correlation, blast-radius narrowing decision… |
| aws-cost-optimize | GitHub Official github/awesome-copilot | 69/100 · D | MIT | Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for… |
Questions and answers
Which AWS skill has the highest Suede Skill Check score?
agents-deploy from aws/agent-toolkit-for-aws scores 89/100, grade B, the highest of the 92 listed AWS skills in the October 22, 2026 snapshot. It earns full points for structural checks, recent maintenance and instruction depth. aws-sst-development from zxkane/aws-skills follows at 86/100.
How do I install an AWS skill in Claude Code?
Run npx skills add with the skill folder's GitHub URL from your project, or copy the folder into .claude/skills/ and Claude Code loads it when a request matches its description. For agents-deploy, run: npx skills add https://github.com/aws/agent-toolkit-for-aws/tree/main/plugins/aws-agents/skills/agents-deploy. Each full skill page on SuedeAI.directory lists the same steps for Claude Code and Codex.
Are these AWS skills free?
All 15 AWS skills on this page are published in public GitHub repositories and cost nothing to download. Every one uses an open-source or open-content license, led by MIT (8), Apache-2.0 (6) and MPL-2.0 (1), so you can use and adapt the files at no cost under those terms.
Do these AWS skills work with Codex and Cursor?
Yes. Each of the 15 AWS skills on this page is a SKILL.md folder in the Agent Skills format, which Claude Code, Codex and Cursor all read. The skills CLI (npx skills add) installs every one of them into Claude Code, Codex, Cursor and other agents, and each full skill page adds a project-level copy into .claude/skills for Claude Code and .agents/skills for Codex.
How does SuedeAI.directory rank AWS skills?
By Suede Skill Check score from 0 to 99, which adds structure, description quality, instruction depth, bundled files, maintenance and curated-list citations, all read from each skill's published files. A skill joins this page when its name or summary matches the AWS keyword map; each repository fills at most three rows, so the table compares publishers.
Which AWS skills come from official publishers?
agents-deploy, exploring-data-catalog and launch-with-aws from aws, hf-cloud-python-env-setup, hf-cloud-sagemaker-iam-preflight and hf-cloud-aws-context-discovery from Hugging Face, aws-ami-builder from HashiCorp and aws-cloudwatch-investigation and aws-cost-optimize from GitHub are published by the company behind the tool, marked Official in the table.
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