This no-cost tool assesses your current cloud provider's usage, geography, and billing data to estimate and compare AWS services and pricing, and recommends migration or continued use of your current provider. AWS pricing is based on current published pricing and may vary over time. The tool may generate a .migration folder containing comparison and migration execution data, which you may delete upon completion or use to migrate to AWS.
10 on GitHubby Amazon Web Servicesv1.1.0Apache-2.0updated 4 months ago
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
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
Connect Claude to Prowler Cloud through the Prowler MCP server. Reads providers, scans, findings, compliance results and resources for AWS, Azure, GCP, Kubernetes, Microsoft 365, GitHub and the other providers listed at https://registry.prowler.com, and returns remediation guidance for failed checks. Writes are limited to Prowler Cloud itself: triggering scans, finding triage, mute rules and the mutelist, providers and integrations. Your cloud resources are not changed by the connector.
Business operations command center for Claude Code — 30 skills, 14 agents, smart background daemon. Manage communications (WhatsApp/Email/Slack/Telegram), projects, infrastructure (AWS), revenue (Stripe+RevenueCat), e-commerce, marketing, monitoring (Datadog/New Relic/OTEL), and voice. Includes /gtm go-to-market planner, /ops:projects portfolio dashboard, and 4 parallel C-suite agents (YOLO mode).
30 skills · 14 agents · hooks
davepoon/buildwithclaude 3,741
Maintain migration-to-aws?
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