/prompt-library-for-startups

name: prompt-library-for-startups
description: "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."

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](https://aws.amazon.com/startups/prompt-library).

**Last updated:** 2026-09-24

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Where to start

Open [`references/prompt-library.md`](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

| 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