aws-startup-advisor

v2.0.1

Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, from day-one account setup to production-ready infrastructure. Migrate to AWS from GCP or Heroku—including your entire AI stack: OpenAI/Gemini/Anthropic SDK rewrites to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen) to AWS-native runtimes, and Temporal workers. Includes AWS Activate credits eligibility and 60+ exclusive startup offers. Built by AWS Startup Solutions Architects, with multi-account, multi-region support.

CodexClaude Code7 Skills4 MCP serversstdioStreamable HTTP

By Amazon Web ServicesLicense: Apache-2.019 GitHub starsUpdated yesterday

Directory evidence

Runtimes: Codex and Claude Code
Parsed components: 11 skill or MCP entries
Source updated: Sep 22, 2026
Manifest status: Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install aws-startup-advisor for Codex and Claude Code

Installs for the current user

codex plugin marketplace add IchenDEV/agent-plugin-mkt
codex plugin marketplace upgrade agent-plugin-marketplace
codex plugin add aws-startup-advisor@agent-plugin-marketplace

Paste and run these commands in a terminal with Codex. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually

$ git clone https://github.com/awslabs/startups

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is advisor/plugins/aws-startup-advisor/.

Plugin files

advisor/plugins/aws-startup-advisor/

├── .codex-plugin/plugin.json
├── .claude-plugin/plugin.json
├── skills/architect-for-startups/SKILL.md
├── skills/contextual-offers-for-startups/SKILL.md
├── skills/knowledge-base-for-startups/SKILL.md
├── skills/llm-to-bedrock/SKILL.md
├── skills/prompt-library-for-startups/SKILL.md
├── skills/start-building-for-startups/SKILL.md
├── skills/tf-best-practices/SKILL.md
└── .mcp.json

Included Skills7

architect-for-startupsskills/architect-for-startups/SKILL.md

Startup-tailored AWS architecture advice that adjusts recommendations to the company's stage (pre-revenue through Series B+), team size, runway, and available credits. Use when a founder wants guidance or a recommendation rather than code changes: which services to choose, how to plan or review an architecture, how to stretch credits and control cost, or how to prepare architecture for a fundraise or technical diligence. For an interactive discovery flow that scaffolds and writes the architecture into the codebase, use start-building-for-startups. For AI-agent runtime selection or agentic architecture recommendations specifically, use agent-advisor. Do not use for: writing or scaffolding code, factual AWS Activate / programs / credits lookups (see knowledge-base-for-startups), a single copy-paste prompt (see prompt-library-for-startups), or migration intent such as GCP-to-AWS or Heroku-to-AWS (see the migration skills: `gcp-to-aws`, `heroku-to-aws`, `llm-to-bedrock`).

contextual-offers-for-startupsskills/contextual-offers-for-startups/SKILL.md

Surfaces a single, genuinely relevant AWS Activate partner offer as optional context AFTER another AWS Startup Advisor skill has finalized its recommendation, plan, or build — never influencing the technical advice. Consulted by architect-for-startups, start-building-for-startups, agent-advisor, gcp-to-aws, heroku-to-aws, and llm-to-bedrock: once their output is final, this skill checks whether a relevant Activate offer exists for what the founder is building or migrating and, if so, appends one quiet, dismissible line with a tracked redeem link. Merit-first (offers never change the recommendation), relevance-gated to what the founder actually surfaced, at most one per response and often none, muteable. Offer content is read live from the sibling knowledge-base-for-startups skill (references/offers.md). Do NOT use for account-specific lookups (credits balance, Activate membership, application status) — send those to https://aws.amazon.com/startups.

knowledge-base-for-startupsskills/knowledge-base-for-startups/SKILL.md

AWS Startups reference content — Activate FAQ, credits guide, programs, partner offers, sample architectures, and hundreds of learn articles spanning generative AI, cloud architecture, cost optimization, security, fundraising, go-to-market, and real-world startup case studies. Use when the user asks factual questions about AWS Activate (eligibility, credits, programs, providers), wants a sample architecture or solution guide, or needs an AWS-curated learn article on a specific startup topic. For copy-paste AI prompts (RAG chatbot, MVP scaffold, security baseline, GPU quota, etc.), see the prompt-library-for-startups skill. Do not use for: account-specific lookups (credits balance, Activate membership status, application status), real-time event listings beyond the events stub, or content not present in the bundled `references/` tree.

llm-to-bedrockskills/llm-to-bedrock/SKILL.md

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: agent runtime selection, agentic architecture decisions, or agent migration planning — use agent-advisor for those. Not for standalone Bedrock cost estimates or infrastructure-only migration. REQUIRES the gcp-to-aws skill installed alongside this one — Assess is delegated entirely to it via a cross-skill invocation, with no standalone fallback if gcp-to-aws is absent.

prompt-library-for-startupsskills/prompt-library-for-startups/SKILL.md

AWS-curated copy-paste prompts for AI coding agents (MVP scaffolding, RAG chatbot with Claude on Bedrock, security baseline evaluation, cost anomaly detection, GPU quota requests, EKS deployment, Well-Architected review, etc.) plus downloadable installable agents (Multi-Account Transition Advisor, Bill Shock Preventer, Service Quota Agent, Bedrock Model Availability Agent, AWS DB Advisor). Use when the user asks for a prompt to do X on AWS, wants an installable agent for multi-account / cost monitoring / quota management / Bedrock model availability / database selection, or asks how to use AWS prompts. For migration intent (GCP to AWS, OpenAI/Gemini to Bedrock), route to the migration skills in this plugin (`gcp-to-aws`, `heroku-to-aws`, `llm-to-bedrock`). Do not use for: factual AWS Activate / programs / credits questions, learn articles, sample architectures, or for prompts that are not in the bundled `references/prompt-library/` tree.

start-building-for-startupsskills/start-building-for-startups/SKILL.md

Interactive discovery + implementation workflow that gathers requirements through picker-based questions (intent, scope, constraints, preferences), scans the codebase for what it can already infer, then writes an AWS architectural scaffold and implementation directly into the project. Use when the user wants to build a new app, scaffold a project, or expand/refactor an existing one on AWS — anything that calls for a structured discovery flow followed by code changes, not a one-off lookup. Do not use for: factual lookups about AWS Activate / programs / credits, requests for a single copy-paste prompt, non-AWS architectural work, architecture advice/recommendations without code changes (see architect-for-startups), a new idea centered on an AI agent — runtime selection, agentic architecture, or an agent POC (see agent-advisor), or migrating an existing GCP/Heroku workload or an LLM SDK rewrite (see gcp-to-aws / heroku-to-aws / llm-to-bedrock).

tf-best-practicesskills/tf-best-practices/SKILL.md

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-only: it reports whether the generated Terraform passes; it never edits .tf files, never touches .phase-status.json, and never decides phase completion. Complements (does not replace) terraform fmt/init/validate.

MCP servers4

aws-pricing-calculatorstdio

command: npx
args: -y [email protected]

awsknowledgeStreamable HTTP

url: https://knowledge-mcp.global.api.aws

awspricingstdio

command: uvx
args: awslabs.aws-pricing-mcp-server@latest
env.FASTMCP_LOG_LEVEL: ERROR
env.AWS_REGION: us-east-1

temporal-docsStreamable HTTP

url: https://temporal.mcp.kapa.ai

Plugin manifests2

advisor/plugins/aws-startup-advisor/.codex-plugin/plugin.json

{
  "name": "aws-startup-advisor",
  "version": "2.0.1",
  "description": "Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, from day-one account setup to production-ready infrastructure. Migrate to AWS from GCP or Heroku—including your entire AI stack: OpenAI/Gemini/Anthropic SDK rewrites to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen) to AWS-native runtimes, and Temporal workers. Includes AWS Activate credits eligibility and 60+ exclusive startup offers. Built by AWS Startup Solutions Architects, with multi-account, multi-region support.",
  "author": {
    "name": "Amazon Web Services",
    "url": "https://aws.amazon.com"
  },
  "homepage": "https://github.com/awslabs/startups/tree/main/advisor",
  "repository": "https://github.com/awslabs/startups",
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "startups",
    "activate",
    "knowledge-base",
    "prompt-library",
    "gcp",
    "google-cloud",
    "migration",
    "cloud-migration",
    "terraform",
    "fargate",
    "rds",
    "aurora",
    "eks",
    "bedrock",
    "ai-migration",
    "openai",
    "openai-to-bedrock",
    "langchain",
    "langgraph",
    "crewai",
    "autogen",
    "agentic",
    "agents",
    "llm-migration",
    "cost-estimation",
    "heroku",
    "heroku-to-aws",
    "move-to-aws",
    "gemini",
    "agentcore",
    "agent-runtime",
    "llm-to-bedrock",
    "temporal",
    "durable-execution",
    "anthropic",
    "claude",
    "gcp-to-aws",
    "cloud-run",
    "cloud-sql",
    "gke",
    "vertex-ai",
    "ecs",
    "lambda",
    "lambda-microvms",
    "elastic-beanstalk",
    "postgres",
    "redis",
    "kafka",
    "elasticache",
    "msk",
    "switch-to-aws",
    "cost-comparison",
    "pricing-comparison",
    "cost-optimization",
    "credits",
    "architecture",
    "well-architected",
    "mvp",
    "rag",
    "bedrock-migration",
    "rewrite-sdk-calls",
    "deploy-ai-agent",
    "choose-agent-runtime"
  ],
  "skills": "./skills/",
  "mcpServers": "./.mcp.json",
  "interface": {
    "displayName": "AWS Startup Advisor",
    "shortDescription": "Build and migrate on AWS with startup-focused architecture, cost, and security guidance plus GCP/Heroku-to-AWS and AI-stack (Bedrock, agents) migration workflows.",
    "longDescription": "Personalized architecture, cost, security, and migration guidance for startups. From day-one account setup and security baselines to production-ready infrastructure, cost optimization, and beyond. Includes AWS Activate Credits eligibility, 60+ exclusive startup offers, and multi-account multi-region support. Built on expertise from AWS Startup Solutions Architects and patterns from 350,000+ startups.\n\nFeatures\nVetted prompts for startups at every stage:\n\n\nDay-one account setup, security baseline, least-privilege roles\nScaffold a production architecture for your stack\nSet up GuardDuty, Security Hub, and a vulnerability scanner\nMigrate from GCP, Heroku, OpenAI, or Gemini — infrastructure, AI SDKs to Amazon Bedrock, and agentic systems\n\n\nAWS Activate Benefits\nCheck eligibility and explore offers available to startups on AWS:\n\n\nAWS Activate Credits: Check eligibility and learn how to apply for credits to offset costs across 200+ services, including infrastructure, data services, and AI/ML models on Bedrock.\nExclusive Startup Offers: Access discounts and extended trials on dozens of tools for payments, analytics, communications, and developer productivity.",
    "developerName": "Amazon Web Services",
    "category": "Developer Tools",
    "capabilities": [
      "Read",
      "Write"
    ],
    "websiteURL": "https://github.com/awslabs/startups/tree/main/advisor",
    "defaultPrompt": [
      "Help me build an MVP on AWS",
      "Find AWS Startups articles on cost optimization",
      "Migrate my GCP infrastructure to AWS",
      "Migrate my Heroku app to AWS",
      "Migrate my OpenAI app to Amazon Bedrock",
      "Which runtime should I use for my AI agent on AWS?"
    ]
  }
}

advisor/plugins/aws-startup-advisor/.claude-plugin/plugin.json

{
  "name": "aws-startup-advisor",
  "displayName": "AWS Startup Advisor",
  "version": "2.0.1",
  "description": "Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, from day-one account setup to production-ready infrastructure. Migrate to AWS from GCP or Heroku—including your entire AI stack: OpenAI/Gemini/Anthropic SDK rewrites to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen) to AWS-native runtimes, and Temporal workers. Includes AWS Activate credits eligibility and 60+ exclusive startup offers. Built by AWS Startup Solutions Architects, with multi-account, multi-region support.",
  "author": {
    "name": "Amazon Web Services"
  },
  "license": "Apache-2.0",
  "keywords": [
    "aws",
    "startups",
    "activate",
    "knowledge-base",
    "prompt-library",
    "gcp",
    "google-cloud",
    "migration",
    "cloud-migration",
    "terraform",
    "fargate",
    "rds",
    "aurora",
    "eks",
    "bedrock",
    "ai-migration",
    "openai",
    "openai-to-bedrock",
    "langchain",
    "langgraph",
    "crewai",
    "autogen",
    "agentic",
    "agents",
    "llm-migration",
    "cost-estimation",
    "heroku",
    "heroku-to-aws",
    "move-to-aws",
    "gemini",
    "agentcore",
    "agent-runtime",
    "llm-to-bedrock",
    "temporal",
    "durable-execution",
    "anthropic",
    "claude",
    "gcp-to-aws",
    "cloud-run",
    "cloud-sql",
    "gke",
    "vertex-ai",
    "ecs",
    "lambda",
    "lambda-microvms",
    "elastic-beanstalk",
    "postgres",
    "redis",
    "kafka",
    "elasticache",
    "msk",
    "switch-to-aws",
    "cost-comparison",
    "pricing-comparison",
    "cost-optimization",
    "credits",
    "architecture",
    "well-architected",
    "mvp",
    "rag",
    "bedrock-migration",
    "rewrite-sdk-calls",
    "deploy-ai-agent",
    "choose-agent-runtime"
  ]
}