Premium skill

Ship your AI SDK agent to AWS

Runtime architecture from your agent's shape and your IaC, streaming that survives the gateway and CDN layers, durable checkpointed workflows, and IAM-aware providers. Verified against the deployed URL, never a local emulator.

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$ npx skills add … --skill ship-ai-sdk-aws
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Use this when

  1. 01A useChat app that streams on Vercel today and needs to stream behind AWS front doors tomorrow.
  2. 02A stream that works locally but arrives all at once, or dies around 30 seconds, in production.
  3. 03An agent loop that outgrows the Lambda ceiling and needs checkpoints, approvals, and resume.
  4. 04An enterprise mandate to adopt Bedrock, with latency and cost measured instead of asserted.

What you get

Architecture from the agent
Lambda streaming, Fargate, Step Functions, or SQS from the recorded shape and your IaC.
Streams that survive AWS
A front-door matrix around buffering, and a layer-by-layer diagnosis when streams die.
Work that outlives a request
Checkpointed steps, parked approvals, and resume after failure.
Providers with IAM
Roles on compute, per-region model access at runtime, secrets referenced not committed.

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