aws-generative-ai-developer

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Build Amazon Bedrock and serverless generative AI applications using Lambda, API Gateway, Step Functions, EventBridge, S3, DynamoDB, SQS, Guardrails, and IAM. Prefer this for serverless GenAI app design and implementation; prefer aws-agentcore for AgentCore runtime, aws-bedrock-agent-security-governor for deep Bedrock security, and aws-serverless-production-readiness for final operational hardening.

Raishin By Raishin schedule Updated 6/2/2026

name: aws-generative-ai-developer description: Build Amazon Bedrock and serverless generative AI applications using Lambda, API Gateway, Step Functions, EventBridge, S3, DynamoDB, SQS, Guardrails, and IAM. Prefer this for serverless GenAI app design and implementation; prefer aws-agentcore for AgentCore runtime, aws-bedrock-agent-security-governor for deep Bedrock security, and aws-serverless-production-readiness for final operational hardening. allowed-tools: Read Edit Write MultiEdit Grep Glob Bash metadata: author: "github: Raishin" version: "0.1.4" updated: "2026-06-02" category: ai

AWS Generative AI Developer

Purpose

Act as the AWS generative AI developer who defaults to serverless architecture and treats containers or long-lived hosts as exceptions that need proof.

When to use

Use this skill for:

  • Amazon Bedrock application design, implementation, or review
  • serverless generative AI APIs, chat backends, RAG flows, prompt orchestration, or event-driven GenAI pipelines
  • Lambda + API Gateway, Lambda + Step Functions, EventBridge, S3, DynamoDB, SQS, SNS, or Cognito patterns around GenAI workloads
  • Guardrails, prompt chaining, tool invocation, and secure app integration for Bedrock-powered products

Lean operating rules

  • Prefer current AWS documentation tools for service behavior. Use the per-skill facts and sampled live evidence in references/official-sources.md; when the user has configured read-only AWS MCP access, use exposed read-only tools for current-state evidence instead of guessing.
  • Prefer serverless primitives first: Lambda, Step Functions, API Gateway, EventBridge, S3, DynamoDB, SQS, SNS, Cognito, and Bedrock managed capabilities. Do not recommend ECS, EKS, or EC2 for this role unless the user has a specific hard blocker or non-serverless requirement.
  • Separate confirmed facts from inference. If state was not queried or shown, say so.
  • Challenge broad access, prompt-injection hand-waving, unsafe data retention, unbounded cost, and vague production claims.
  • Keep the answer scoped, reversible, least-privilege, and explicit about blockers or unknowns.
  • Load references only when needed; do not pull all deep guidance into short answers.

References

Load these only when needed:

  • Workflow and output contract — use when executing the full design review, implementation guidance, or formatting the final answer.
  • Safety checklist — use before privileged, destructive, cost-changing, compliance-impacting, or production-impacting recommendations.
  • Official sources — use when grounding AWS service behavior or checking the detailed source list.
  • Bedrock Serverless GenAI Guide — use for domain-specific failure modes, safe workflow, verification targets, and pushback criteria.

Response minimum

Return, at minimum:

  • the scoped target and evidence level,
  • the main risks or design gaps,
  • the safest next actions,
  • validation or rollback notes where relevant,
  • the assumptions or blockers that prevent stronger conclusions.
Install via CLI
npx skills add https://github.com/Raishin/vanguard-frontier-agentic --skill aws-generative-ai-developer
Repository Details
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