aws startup advisor — Agent Skill

aws-startup-advisor

Overview

AWS Startup Advisor puts an AWS Startups Solutions Architect in your coding assistant. It recommends the smallest architecture that fits your stage, credits, and team, then can scaffold it, migrate you from Azure, Google Cloud, or Heroku, move your model calls to Amazon Bedrock, and investigate production incidents. It also answers your AWS Activate credits eligibility questions and finds startup offers you can use.

Ask it things like:

• "We're pre-seed with two engineers. What should our AWS architecture look like?"
• "Migrate us off Google Cloud and tell me what it costs."
• "Which runtime should this agent use?"
• "Our API started returning 502s after the last deploy."

The twelve skills below are the catalog. Install them together.

Agent Skills

| # | Skill | Description | Documentation | | -- | -------------------------- | ------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------- | | 1 | architect-for-startups | Stage-aware AWS architecture guidance for non-agent workloads, tuned to team size, runway, and credits — advice rather than code changes. An AI agent as the workload goes to agent-advisor | SKILL.md | | 2 | start-building-for-startups | Interactive discovery flow that gathers requirements, scans the codebase, then writes an AWS scaffold and implementation into the project | SKILL.md | | 3 | agent-advisor | Runtime selection, migration planning, and an executable proof of concept for AI-agent workloads on AWS | SKILL.md | | 4 | azure-to-aws | Six-phase Microsoft Azure to AWS migration. Discovery reads Terraform (azurerm_*), a live az CLI capture (read-only, consent-gated), a customer-supplied RDfA report (read-only, file-only), and application code — not Bicep, ARM templates, or Azure billing exports. Direct OpenAI, OpenRouter, and Anthropic usage-API discovery (read-only, consent-gated) supplement real AI spend. Generate is opt-in, and the what-if workshop is optional | SKILL.md | | 5 | gcp-to-aws | Six-phase Google Cloud to AWS migration. Discovery reads Terraform, a live gcloud capture (read-only, consent-gated), application code, and billing exports. Direct OpenAI, OpenRouter, and Anthropic usage-API discovery (read-only, consent-gated) supplement real AI spend. Generate is opt-in. BigQuery is not mapped to an AWS analytics service | SKILL.md | | 6 | heroku-to-aws | Six-phase Heroku to AWS migration with deterministic add-on mapping and an optional what-if repricing workshop | SKILL.md | | 7 | llm-to-bedrock | Rewrite OpenAI, Gemini, or Anthropic API call sites to Amazon Bedrock, evaluate quality, and deliver a git branch. The full migration requires gcp-to-aws or azure-to-aws alongside it (gcp-to-aws preferred when both are installed). Access-only mode (enable model access, no rewrite) does not | SKILL.md | | 8 | tf-best-practices | AWS Terraform authoring posture, security-baseline spec, and a read-only policy gate over generated Terraform | SKILL.md | | 9 | operate-on-aws | Incident investigation, root-cause analysis, and release-readiness review with AWS DevOps Agent, with cost, access, and code-egress disclosed up front | SKILL.md | | 10 | knowledge-base-for-startups | AWS Activate FAQ, credits guide, programs, partner offers, sample architectures, and AWS-curated learn articles | SKILL.md | | 11 | prompt-library-for-startups | AWS-curated copy-paste prompts for AI coding agents, plus downloadable installable agents | SKILL.md | | 12 | contextual-offers-for-startups | Appends at most one relevant AWS Activate partner offer as optional context after another skill's output is final | SKILL.md |

contextual-offers-for-startups is consulted by the other skills rather than invoked directly: it runs only after a recommendation, plan, or build is already final, and it never influences the technical advice.

Bundled Resources

Alongside the skills, the plugin ships supporting material the skills load on demand:

• `skills/shared/` — Canonical reference material shared across skills rather than an invocable skill of its own: the phase-workflow interpreter contract, estimation schemas and complexity tiers, a snapshot of AWS infrastructure rates, phase-status schema, what-if workshop invariants, shared Clarify question fragments, and the AI-migration guardrails and Bedrock model references. Each consuming skill carries a byte-identical copy under its own references/vendored/ so the skill folder stays self-contained.
• `agents/` — Seven Claude Code subagent definitions: two generic, phase-agnostic migration phase workers (read/write and read/write/shell tiers) plus five specialists for the Bedrock rewrite flow (code analyzer, code rewriter, log ingestor, prompt evaluator, report generator).
• `tools/` — Contains model-staleness.py, which checks the Bedrock model-lifecycle registry's freshness contract (**Last updated** / **Staleness window**) and that every vendored copy under skills/*/references/vendored/ai/ is byte-identical to skills/shared/ai/ai-model-lifecycle.md (--strict also fails on a stale snapshot).
• `scripts/` — Python helpers that validate generated artifacts, emit run summaries, and lint Bedrock model references: a migration report validator, a startup-program artifact check, a plan summary emitter (`emit-pl

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