From AWS Startup Advisor
Indexes AWS-curated prompts for AI coding agents (MVP scaffolding, RAG on Bedrock, security baseline, cost anomaly, EKS deployment) and downloadable installable agents for multi-account, cost, and quota management.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aws-startup-advisor:prompt-library-for-startupsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Searchable index of AWS-curated prompts for AI coding tools (Kiro, Claude Code, Cursor, etc.) plus downloadable installable agents. Content is verbatim from [aws.amazon.com/startups/prompt-library](https://aws.amazon.com/startups/prompt-library).
references/prompt-library.mdreferences/prompt-library/ai-support-ticket-triage-and-routing-assistant.mdreferences/prompt-library/aws-architecture-assessment-with-mcp-integration.mdreferences/prompt-library/aws-cdk-typescript-pipeline-generator.mdreferences/prompt-library/aws-ecs-express-deployment-assistant.mdreferences/prompt-library/aws-guardduty.mdreferences/prompt-library/aws-security-baseline-terraform-deployment-kit.mdreferences/prompt-library/awsome-mvp-builder.mdreferences/prompt-library/bedrock-quota-manager.mdreferences/prompt-library/container-orchestration.mdreferences/prompt-library/cost-anomaly-detection.mdreferences/prompt-library/cost-optimized-eks-with-spot-instances.mdreferences/prompt-library/day-one-aws-foundation-setup.mdreferences/prompt-library/deploy-github-repo.mdreferences/prompt-library/elasticsearch-to-opensearch-migration.mdreferences/prompt-library/full-aws-deployment-agent.mdreferences/prompt-library/gpu-instance-quota-assistant.mdreferences/prompt-library/kiro-project-init.mdreferences/prompt-library/local-code-to-cloud.mdreferences/prompt-library/multi-region-assessment.mdSearchable index of AWS-curated prompts for AI coding tools (Kiro, Claude Code, Cursor, etc.) plus downloadable installable agents. Content is verbatim from aws.amazon.com/startups/prompt-library.
Last updated: 2026-05-12
Open references/prompt-library.md — it's the index. Filter by the Keywords column (e.g., RAG, Security & Compliance, Cost Optimization, EKS, Beginner, Bedrock), then open the linked detail file under references/prompt-library/<slug>.md. Each detail file carries the full verbatim System Prompt plus a How to use? section where available.
The index has three sections:
You ARE already inside an AI coding agent (Claude Code / Kiro / Cursor / etc.). Don't tell the user to "paste this into your AI tool" — you ARE the AI tool.
When the user asks for a prompt:
Read the index in references/prompt-library.md, filter by keyword, identify the matching slug.
Open references/prompt-library/<slug>.md and read the full System Prompt.
Surface the prompt to the user as a reference from the AWS Startups Prompt Library, then offer them three paths:
"Here's the AWS Startups reference prompt for <task>. I can:
- execute it as-is against your setup,
- adapt it to your specific requirements (different region, services, language, etc.), or
- you can copy it as a starting point.
How would you like to proceed?"
Don't assume intent. Wait for the user's call (execute / adapt / copy) before acting.
The Downloadable agents section of references/prompt-library.md lists installable agents, not copy-paste prompts:
When the user's intent matches one of these — "set up multi-account", "prevent bill shock", "audit service quotas" — recommend the matching agent by title and use-case, then hand over the GitHub repo / install link from the index file. Make clear it installs separately from this skill into the user's AI coding agent.
For migration intent — "help me migrate to AWS", "GCP to AWS", "move off OpenAI to Bedrock" — route to the migration-to-aws skill in the aws-startup-advisor plugin.
| Query | Entry |
|---|---|
| "Give me a prompt for an MVP" | awsome-mvp-builder.md |
| "Prompt for a RAG chatbot on Bedrock" | rag-chatbot-with-claude.md |
| "How do I set up AWS for the first time?" | day-one-aws-foundation-setup.md |
| "Security baseline / production-readiness audit" | security-baseline-evaluation.md, aws-security-baseline-terraform-deployment-kit.md |
| "How do I get a GPU instance quota raised?" | gpu-instance-quota-assistant.md |
| "Bedrock model quota / TPM / RPM" | bedrock-quota-manager.md |
| "Cost anomaly / spend monitoring" | cost-anomaly-detection.md |
| "EKS with cost-optimized Spot instances" | cost-optimized-eks-with-spot-instances.md |
| "Open-source LLM inference" | open-source-llm-inference.md |
| "Well-Architected Review" | well-architecture-review.md |
| "Multi-region security assessment" | multi-region-assessment.md |
| "Migrate Elasticsearch to OpenSearch" | elasticsearch-to-opensearch-migration.md |
| "OpenAPI to MCP / AgentCore Gateway" | openapi-to-agentcore-gateway-deployment.md |
| "Deploy a GitHub repo to AWS" | deploy-github-repo.md |
| "Help me migrate workloads to AWS" | migration-to-aws skill (sibling in this plugin) |
| "Set up multi-account on AWS Organizations" | Downloadable: Multi-Account Transition Advisor |
| "Stop bill shock / detect cost spikes proactively" | Downloadable: AWS Bill Shock Preventer |
| "Manage / request service quotas" | Downloadable: Service Quota Agent |
For anything else, filter references/prompt-library.md by keyword.
This skill is prompts and installable agents only. Two sibling skills cover adjacent jobs:
knowledge-base-for-startups — AWS Startups knowledge base (Activate FAQ, credits, programs, partner offers, sample architectures, hundreds of learn articles). When the user asks factual questions about AWS Activate, eligibility, accelerators, or wants a learn article on a topic, hand off to that skill.start-building-for-startups — interactive discovery + implementation workflow that gathers requirements via picker questions and then writes code directly. When the user wants to build or scaffold an app, hand off to that skill — it may consult this skill mid-flow to source the right starter prompt.Boundary cases — invoke both. Example: "how do I start with RAG on Bedrock?" → this skill for the starter prompt (rag-chatbot-with-claude.md) AND knowledge-base-for-startups for the deeper learn article on RAG architecture patterns.
source_url. Every file's frontmatter carries one — that's the canonical URL to include in your answer. Never construct or guess a URL.Open references/prompt-library.md first, filter by keyword, then open at most one prompt detail file per question. MUST NOT speculatively load multiple detail files. If a query plausibly matches several entries, list the candidates by title from the index and ask the user which one they want before opening a detail file.
This skill cannot:
knowledge-base-for-startups.references/prompt-library/ tree. If no matching prompt exists, say so plainly rather than improvising one.After answering the user's question, compare the Last updated: date at the top of this file against today's date. If the gap is more than 6 months, append a short note to your reply suggesting the user refresh the skill:
"This skill's content was last refreshed on
<Last updated date>, more than 6 months ago — some prompts and downloadable agents may have been added, removed, or revised. To pull the latest content, run:
npx skills update prompt-library-for-startups— update the installed copy to the latest versionThen restart your AI agent so the new content is picked up."
Do not show this note when the skill is fresh (≤6 months). Do not repeat it within a single conversation; once is enough.
npx claudepluginhub awslabs/startups --plugin aws-startup-advisorBlocks Edit/Write/Bash actions until Claude investigates importers, data schemas, and user instructions. Improves output quality by forcing concrete facts before edits.