What are the best alternatives to aws-sst-development?
The highest-scoring alternative to aws-sst-development is hf-cloud-python-env-setup from huggingface/skills, at 85/100 (grade B) on the Suede Skill Check; aws-sst-development scores 86/100. The table compares 4 AWS skills in DevOps and cloud from other publishers, each with a full SuedeAI.directory page.
aws-sst-development and 4 alternatives
Alternatives share aws-sst-development's category and task, come from other publishers and each have a full directory page. Ranked by Suede Skill Check score.
| Skill | Publisher | Suede Skill Check | License | What it does |
|---|---|---|---|---|
| aws-sst-development Compared skill | 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. |
| 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. |
| 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. |
| 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-sagemaker-production-defaults | Hugging Face Official huggingface/skills | 80/100 · B | Apache-2.0 | Creates SageMaker endpoints (real-time, scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default, using provided deploy scripts. |
Questions and answers
What is the highest-scoring alternative to aws-sst-development?
hf-cloud-python-env-setup from huggingface/skills, at 85/100, grade B. It earns full points for structural checks, recent maintenance and instruction depth. Sets up an isolated Python environment with the right Python version and current boto3 for SageMaker and other AWS automation work.
How does aws-sst-development compare with its alternatives?
aws-sst-development scores 86/100, grade B. Of the 4 alternatives, 4 score lower; their scores run from 80 to 85. All of them sit in DevOps and cloud and match the AWS keyword map.
Are the alternatives to aws-sst-development free?
All 4 alternatives to aws-sst-development are published in public GitHub repositories and cost nothing to download. Every one uses an open-source or open-content license, led by Apache-2.0 (3) and MIT (1), so you can use and adapt the files at no cost under those terms.
Do the alternatives to aws-sst-development work in Claude Code, Codex and Cursor?
Yes. Each of the 4 alternatives to aws-sst-development 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.