claude

aws-startups-solution-architecture

Technical AWS solutions for the problems startups get stuck on, from the AWS Startups Solution Architecture team. Multi-tenant SaaS isolation enforced in IAM rather than application code, and running a judgment agent such as an LLM reviewer inside a CI path. Draws all general-purpose AWS service depth from Agent Toolkit for AWS (aws-core, aws-agents) as upstream dependencies rather than restating it.

26 on GitHubby Amazon Web Servicesv0.1.0Apache-2.0updated 17 days ago
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Plugin aws-startups-solution-architecture from marketplace startups-for-aws in awslabs/startups. Commands read from the repo's manifest — 17 days ago.

What it installs

Skills (5)

  • agentcore-patterns

    This skill should be used when an automated agent's output is published under its own identity and carries weight in someone else's work, such as a reviewer whose verdict lands on a pull request, and the open question is how much authority it has actually earned. Covers which conclusions such an age

  • cost-regression-check

    This skill should be used when a company that pays its AWS bill from a fixed monthly ceiling, often funded by credits, asks what a pull request or other infrastructure-as-code change (Terraform, AWS CDK, or AWS CloudFormation) will add to that bill before apply, or wants that cost on every pull requ

  • hcls-stack-check

    Reads an AWS account's resource inventory (a live AWS Resource Explorer pull, or a local export) and reports two facts per resource: whether its service is on AWS's published HIPAA Eligible Services Reference list, and whether it sits in an EU region / whether the service offers an EU region. Factua

  • multi-tenant-isolation

    This skill should be used when designing or fixing tenant isolation for a multi-tenant SaaS on AWS, where a team with no dedicated security engineer must make a cross-tenant leak structurally impossible rather than a code-review responsibility. Covers choosing a silo, pool, or bridge model per layer

  • self-hosted-llm-batch-inference

    This skill should be used when a startup without a dedicated ML platform team needs recurring, latency-tolerant offline inference for a self-hosted 1B to 8B generative language model on AWS while minimizing GPU spend and recovering automatically from Spot interruption. It prescribes AWS Batch backed

View source on GitHub

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