claudecodex

migration-to-aws

Plan a migration from Google Cloud Platform (and OpenAI/Gemini AI workloads) to AWS. Analyzes your Infrastructure-as-Code files, app code, and GCP billing data to discover resources, design an AWS architecture, estimate costs, and generate migration artifacts — including AI-provider mapping to Amazon Bedrock. Processing is local; your data stays in your environment.

1 on GitHubby Amazon Web Servicesv1.5.0Apache-2.0updated 2 months agodevelopment
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Plugin migration-to-aws from marketplace bodnar-agent-plugins in danielbodnar/agent-plugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (6)

  • agent-advisor

    Unified entry point for AI-agent work on AWS: evaluate and pick a runtime, generate a full migration plan (for existing workloads), and build an executable POC — all in one flow. Triggers on: which runtime for my agent, AgentCore vs ECS vs EKS vs Lambda, AgentCore vs Lambda MicroVMs, deploy an AI ag

  • azure-to-aws

    Migrate workloads from Microsoft Azure to AWS. Triggers on: migrate from Azure, Azure to AWS, move off Azure, migrate Azure app to AWS, migrate AKS to EKS, migrate App Service to AWS, migrate App Service to Elastic Beanstalk, migrate Azure VMs to EC2, migrate Azure SQL to RDS, migrate Azure Database

  • gcp-to-aws

    Migrate workloads from Google Cloud Platform to AWS — including AI and agentic workloads regardless of cloud provider. Triggers on: migrate from GCP, GCP to AWS, move off Google Cloud, migrate Terraform to AWS, migrate Cloud SQL to RDS, migrate GKE to EKS, migrate Cloud Run to Fargate, migrate App E

  • heroku-to-aws

    Migrate workloads from Heroku to AWS. Triggers on: migrate from Heroku, Heroku to AWS, move off Heroku, migrate Heroku app, migrate Heroku Postgres to RDS, migrate Heroku Redis to ElastiCache, migrate Heroku Kafka to MSK, migrate dynos to Elastic Beanstalk, migrate dynos to Fargate, Heroku migration

  • llm-to-bedrock

    Use when the user wants to migrate code that calls OpenAI, Gemini/Google AI, or the Anthropic API to Amazon Bedrock — a pure model/SDK rewrite. End-to-end: assesses the codebase, then rewrites SDK calls, evaluates output quality against Bedrock, and delivers a ready-to-merge git branch. Not for: age

  • tf-best-practices

    Best-practice authoring guidance AND a read-only policy gate for AWS Terraform generated by a migration skill. Load during any phase that writes a terraform/ directory — first as the "what to emit" posture rules + security-baseline spec, then after writing as the deterministic policy verdict. Read-o

Subagents (7)

  • generic-phase-worker-rw

    Generic, phase-AGNOSTIC worker that runs ONE migration phase's work (its fragments + assembler) in an isolated context and writes the phase's artifact(s) to disk. It is NOT tied to any phase — the phase to run is passed in the context block at dispatch time (the `Phase file` line). Capability tier:

  • generic-phase-worker-rwx

    Generic, phase-AGNOSTIC worker that runs ONE migration phase's work (its fragments + assembler) in an isolated context and writes the phase's artifact(s) to disk. It is NOT tied to any phase — the phase to run is passed in the context block at dispatch time (the `Phase file` line). Capability tier:

  • llm2bedrock-code-analyzer

    Analyze the local source repo, detect the AI framework and LLM SDK usage, map all call sites, identify prompts, and enumerate user-visible behavior-deltas for the Bedrock migration. Returns a structured analysis object.

  • llm2bedrock-code-rewriter

    Rewrite LLM SDK calls to Amazon Bedrock on a dedicated git branch, swap dependencies, generate tests, and apply the user-confirmed behavior-delta decisions. Returns a structured rewrite object.

  • llm2bedrock-log-ingestor

    Parse LLM API logs from the local repo, extract prompt/response pairs, and build a golden dataset (prompts.jsonl) for evaluation. Returns a structured ingestion object.

  • llm2bedrock-prompt-evaluator

    Run each golden prompt against the target Bedrock model via the pinned uv harness, score with LLM-as-judge, and report a pass rate. Handles throttling with backoff; returns a structured eval object, or a partial/blocked control state.

  • llm2bedrock-report-generator

    Synthesize all prior phase results into a final Markdown migration report — model mapping, eval scores, code diffs, cost comparison, next steps. Writes MIGRATION_REPORT_<date>.md and returns a structured report object.

MCP servers (1)

  • aws-mcp

    connects to: https://aws-mcp.us-east-1.api.aws/mcp

View source on GitHub code.claude.com

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