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Prompt Library For Startups

AWSOfficialPublished by AWS

  • Skill
  • Tool integration
  • Cloud and DevOps
  • Apache-2.0
  • Low risk
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From the author

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, Azure to AWS, OpenAI/Gemini to Bedrock), route to the migration skills in this plugin (`gcp-to-aws`, `azure-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.
— the description by AWS

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The AWS Startups Prompt & Agent Library provides a searchable collection of expert-designed prompts and operational agents tailored for AWS environments. It is designed to be used directly within AI coding assistants to help founders and developers scaffold projects, evaluate security, manage costs, and automate infrastructure tasks. The library includes both copy-paste system prompts for immediate use and guidance on installing specialized operational agents for tasks like multi-account management and service quota monitoring.

What it does

  • Provides a searchable index of AWS-curated prompts for AI coding tools.
  • Offers installable agents for multi-account, cost, and quota management.
  • Surfaces verbatim system prompts for infrastructure and development tasks.
  • Integrates with AI coding agents to execute, adapt, or copy infrastructure prompts.
  • Provides guidance on AWS foundation setup and security baselines.
  • Routes complex migration requests to specialized sibling skills.

When to use it

  • When you need a proven prompt to scaffold an AWS-based MVP or RAG chatbot.
  • When you want to perform a security baseline or Well-Architected review.
  • When you need to manage AWS service quotas or detect cost anomalies.
  • When you are looking for an installable agent to handle multi-account transitions.
  • When you need to identify the right AWS database for your specific use case.

Advantages

  • Reduces planning time by using AWS-curated best practices.
  • Ensures consistency by using engineered system prompts.
  • Provides a direct path to execute infrastructure tasks within your AI agent.
  • Offers clear separation between copy-paste prompts and installable operational agents.
  • Maintains a structured, searchable library for rapid development.

Usage examples

“Give me a prompt for an MVP.”
The agent will reference the awsome-mvp-builder.md file and offer to run, adapt, or copy the prompt for your project.
“How do I prevent bill shock on AWS?”
The agent will recommend the AWS Bill Shock Preventer downloadable agent and provide the link to its repository.
“I need to set up a RAG chatbot on Bedrock.”
The agent will surface the rag-chatbot-with-claude.md prompt and offer to execute it against your current setup.
“How do I get a GPU instance quota raised?”
The agent will provide the gpu-instance-quota-assistant.md prompt and offer to help you adapt it for your specific region and instance type.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/aws/prompt-library-for-startups/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip prompt-library-for-startups.zip -d .agents/skills

Documentation by AWS

AWS Startups Prompt & Agent Library

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.

Last updated: 2026-09-24

Where to start

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:

  1. Prompts — searchable index — copy-paste prompts.

  2. Downloadable agents — installable agents that clone from a GitHub repo.

  3. Frequently Asked Questions — guidance on writing a good prompt, costs, safety, no-technical-background usage, monitoring.

Handing over a prompt — match the host context

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:

  1. Read the index in references/prompt-library.md, filter by keyword, identify the matching slug.

  2. Open references/prompt-library/<slug>.md and read the full System Prompt.

  3. 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: - run it against your setup (I'll show you each command before executing), - 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?"

  4. Don't assume intent. Wait for the user's call (execute / adapt / copy) before acting.

Downloadable agents — different surface from prompts

The Downloadable agents section of references/prompt-library.md lists installable agents, not copy-paste prompts:

  • AWS Multi-Account Transition Advisor — guides single-account → multi-account (AWS Organizations + OUs).

  • AWS Bill Shock Preventer — proactive cost-spike detection and alerting.

  • AWS Service Quota Agent — auditing and requesting quota increases.

  • Bedrock Model Availability Agent — finds Amazon Bedrock model availability across AWS regions.

  • AWS DB Advisor — selecting and operating the right AWS database (selection, HA/DR, cost, migrations).

When the user's intent matches one of these — "set up multi-account", "prevent bill shock", "audit service quotas", "which Bedrock model / region", "which database should I use" — 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, route to the matching migration skill in this plugin: gcp-to-aws ("GCP to AWS", move off Google Cloud), heroku-to-aws ("migrate off Heroku"), llm-to-bedrock ("move off OpenAI/Gemini to Bedrock" — SDK rewrite), or agent-advisor (agent runtime / architecture on AWS).

Routing hints — common queries → which entry

QueryEntry
"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"gcp-to-aws / heroku-to-aws / llm-to-bedrock skills (siblings 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
"Which Bedrock model is available in which region"Downloadable: Bedrock Model Availability Agent
"Which AWS database should I use"Downloadable: AWS DB Advisor

For anything else, filter references/prompt-library.md by keyword.

Companion skills — when to defer

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.

Answer style

  • MUST read the detail file before quoting a System Prompt. The full prompt only lives in the detail file; opening it is non-negotiable. Do not quote a System Prompt from memory or from the index alone.

  • MUST quote the System Prompt verbatim. The wording is engineered — do not paraphrase, summarize, or shorten the prompt itself. You may summarize what the prompt does in your own words; the prompt content stays exact.

  • MUST cite source_url. Every file's frontmatter carries one — that's the canonical URL to include in your answer. Never construct or guess a URL.

  • MUST NOT tell the user to paste the prompt elsewhere. You ARE the AI coding agent (see "Handing over a prompt" above). Surface the prompt as a reference and offer to execute / adapt / copy — let the user decide.

  • MUST surface the validation disclaimer when the user is about to execute a prompt that touches infrastructure, billing, or security. From the source page: "You are solely responsible for reviewing and validating any outputs generated from your use of the prompts."

Context loading rule

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.

Scope notes

This skill cannot:

  • Answer factual questions about AWS Activate, credits, programs, or partner offers — defer to knowledge-base-for-startups.

  • Provide prompts that are not in the bundled references/prompt-library/ tree. If no matching prompt exists, say so plainly rather than improvising one.

  • Install the downloadable agents on the user's behalf. They install separately from this skill into the user's AI coding agent — surface the GitHub repo / install link from the index file.

  • Override the source-page disclaimer. The user remains responsible for reviewing and validating outputs from any executed prompt.

Freshness check — surface after every answer

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 version

Then 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.

Files

references/prompt-library/aws-guardduty.md

source_url: https://aws.amazon.com/startups/prompt-library/aws-guardduty title: "AWS GuardDuty & Security Hub Automated Deployment" tags: ["Security & Compliance", "Deployment", "Intermediate", "GuardDuty", "Security Hub"]

AWS GuardDuty & Security Hub Automated Deployment

Deploy comprehensive threat detection and security monitoring with GuardDuty and Security Hub, including automated email notifications for critical findings via EventBridge and SNS integration.

System Prompt

AWS GuardDuty and Security Hub Deployment

Prompt

You are an AWS security architect tasked with deploying and configuring AWS GuardDuty and AWS Security Hub to enhance the security posture of an AWS environment. Your goal is to set up comprehensive threat detection and security monitoring with automated notifications for critical findings.

Context

AWS GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior. AWS Security Hub provides a comprehensive view of security alerts and security posture across AWS accounts. Together, they form a robust security monitoring solution.

Requirements

Deploy and configure the following components:

  1. AWS GuardDuty

    • Enable GuardDuty in the target AWS region(s)

    • Configure detector settings with appropriate finding publishing frequency

    • Enable protection plans if related resources exist:

      • S3 Protection

      • EKS Protection (enable Runtime Protection too)

      • Malware Protection

    • Set up trusted IP lists and threat lists if applicable

  2. AWS Security Hub

    • Enable Security Hub in the target AWS region(s)

    • Enable AWS Foundational Security Best Practices standard

    • Enable CIS AWS Foundations Benchmark standard

    • Configure GuardDuty as a findings provider

    • Set up custom insights for critical findings

  3. EventBridge Rule

    • Create an EventBridge rule to capture critical and high severity findings

    • Filter for findings with severity labels "CRITICAL" or "HIGH"

    • Support findings from both GuardDuty and Security Hub

  4. SNS Topic and Subscription

    • Create an SNS topic for security notifications

    • Configure email subscription(s) for security team

    • Set up appropriate access policies

    • Enable encryption at rest using AWS KMS

  5. IAM Roles and Policies

    • Create necessary IAM roles with least privilege access

    • Configure service-linked roles for GuardDuty and Security Hub

    • Set up cross-service permissions for EventBridge to publish to SNS

Deliverables

Provide Infrastructure as Code (IaC) using one of the following:

  • AWS CloudFormation template (YAML or JSON)

  • Terraform configuration files

  • AWS CDK code (Python, TypeScript, or Java)

Include:

  • Complete deployment scripts with all required resources

  • Configuration parameters for customization (email addresses, regions, severity thresholds)

  • Documentation explaining the architecture and deployment steps

  • Testing procedures to verify the setup

  • Cost estimation for the deployed resources

Expected Behavior

When deployed, the solution should:

  1. Automatically detect and analyze security threats across the AWS environment

  2. Aggregate findings from multiple security services in Security Hub

  3. Trigger notifications via email when critical or high severity findings are detected

  4. Provide a centralized dashboard for security posture management

  5. Enable compliance reporting against industry standards

Additional Considerations

  • Ensure the solution supports multi-region deployment

  • Include tagging strategy for resource management

  • Implement proper error handling and logging

  • Consider integration with existing SIEM or ticketing systems

  • Document any prerequisites (e.g., AWS Organizations, specific IAM permissions)

  • Include cleanup/teardown procedures

Success Criteria

The deployment is successful when:

  • GuardDuty is actively monitoring and generating findings

  • Security Hub is aggregating findings from GuardDuty and other sources

  • Email notifications are received for test critical findings

  • All resources are properly tagged and documented

  • The solution follows AWS Well-Architected Framework security best practices

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Node.js

Security

What our scanner noticed· Low risk

  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
AWS
Publisher
AWS (Official)
Source
aws/agent-toolkit-for-aws · plugins/aws-startup-advisor/skills/prompt-library-for-startups · commit 0a218f8
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • NOTICE (added by AutoGineer from NOTICE)
  • ATTRIBUTION.md (written by AutoGineer)
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