prompt-library-for-startups

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AWS Startups Prompt & Agent Library

AWS初创企业提示词与Agent库

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: 2026-07-22

这是一个可搜索的索引，包含AWS为AI编码工具（如Kiro、Claude Code、Cursor等）精心整理的提示词，以及可下载安装的Agent。内容完全来自aws.amazon.com/startups/prompt-library。

最后更新时间： 2026-07-22

Where to start

入门指南

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:

Prompts — searchable index — copy-paste prompts.
Downloadable agents — installable agents that clone from a GitHub repo.
Frequently Asked Questions — guidance on writing a good prompt, costs, safety, no-technical-background usage, monitoring.

打开

references/prompt-library.md

——这是索引文件。通过关键词列进行筛选（例如

RAG

、

Security & Compliance

、

Cost Optimization

、

EKS

、

Beginner

、

Bedrock

），然后打开

references/prompt-library/<slug>.md

下的关联详情文件。每个详情文件包含完整的System Prompt原文，以及（如有提供的）**使用方法？**部分。

索引分为三个部分：

提示词——可搜索索引——可直接复制粘贴的提示词。
可下载Agent——可从GitHub仓库克隆安装的Agent。
常见问题——关于编写优质提示词、成本、安全性、非技术背景用户使用方法、监控的指导。

Handing over a prompt — match the host context

交付提示词——匹配宿主环境

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.

你本身已经处于AI编码Agent（如Claude Code / Kiro / Cursor等）内部。不要告诉用户“将此粘贴到你的AI工具中”——你就是AI工具。

当用户请求提示词时：

阅读
```
references/prompt-library.md
```
中的索引，按关键词筛选，确定匹配的slug。
打开
```
references/prompt-library/<slug>.md
```
并阅读完整的System Prompt。
将提示词作为_AWS初创企业提示词库的参考内容_呈现给用户，然后提供三种选择：
“这是针对
<任务>
的AWS初创企业参考提示词。我可以： - 按原样执行该提示词，适配你的环境， - 调整它以满足你的特定需求（如不同区域、服务、语言等），或 - 你可以复制它作为起点。
你希望如何操作？”
不要假设用户意图。等待用户选择（执行/调整/复制）后再采取行动。

Downloadable agents — different surface from prompts

可下载Agent——与提示词的呈现方式不同

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 — "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.

references/prompt-library.md

的可下载Agent部分列出的是可安装Agent，而非可复制粘贴的提示词：

AWS多账户迁移顾问——指导从单账户到多账户的迁移（AWS Organizations + OUs）。
AWS账单突增预防工具——主动检测成本飙升并发送警报。
AWS服务配额Agent——审核并申请配额提升。
Bedrock模型可用性Agent——查询Amazon Bedrock模型在各AWS区域的可用性。
AWS数据库顾问——选择并运维合适的AWS数据库（选型、高可用/灾难恢复、成本、迁移）。

当用户的意图与上述某一项匹配时——例如_“设置多账户”、“预防账单突增”、“审核服务配额”、“哪个Bedrock模型/区域可用”、“我应该使用哪个数据库”_——推荐对应的Agent（按标题和使用场景），然后提供索引文件中的GitHub仓库/安装链接。明确说明该Agent需独立于本技能安装到用户的AI编码Agent中。

若用户有迁移需求——例如_“帮我迁移到AWS”、“从GCP迁移到AWS”、“从OpenAI迁移到Bedrock”_——引导至

aws-startup-advisor

插件中的**

migration-to-aws

**技能。

Routing hints — common queries → which entry

路由提示——常见查询对应条目

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
"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.

查询内容	对应条目
“给我一个搭建MVP的提示词”	`awsome-mvp-builder.md`
“基于Bedrock的RAG聊天机器人提示词”	`rag-chatbot-with-claude.md`
“我第一次使用AWS该如何设置？”	`day-one-aws-foundation-setup.md`
“安全基线/生产就绪性审核”	`security-baseline-evaluation.md` , `aws-security-baseline-terraform-deployment-kit.md`
“如何提升GPU实例配额？”	`gpu-instance-quota-assistant.md`
“Bedrock模型配额/TPM/RPM”	`bedrock-quota-manager.md`
“成本异常/支出监控”	`cost-anomaly-detection.md`
“使用成本优化型Spot实例的EKS”	`cost-optimized-eks-with-spot-instances.md`
“开源LLM推理”	`open-source-llm-inference.md`
“架构完善度评审”	`well-architecture-review.md`
“多区域安全评估”	`multi-region-assessment.md`
“将Elasticsearch迁移到OpenSearch”	`elasticsearch-to-opensearch-migration.md`
“将OpenAPI转换为MCP/AgentCore网关”	`openapi-to-agentcore-gateway-deployment.md`
“将GitHub仓库部署到AWS”	`deploy-github-repo.md`
“帮我将工作负载迁移到AWS”	`migration-to-aws` 技能（本插件中的同级技能）
“在AWS Organizations中设置多账户”	可下载Agent：多账户迁移顾问
“避免账单突增/主动检测成本飙升”	可下载Agent：AWS账单突增预防工具
“管理/申请服务配额”	可下载Agent：服务配额Agent
“哪个Bedrock模型在哪个区域可用”	可下载Agent：Bedrock模型可用性Agent
“我应该使用哪个AWS数据库”	可下载Agent：AWS数据库顾问

其他查询，请通过关键词筛选

references/prompt-library.md

。

Companion skills — when to defer

配套技能——何时转交

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.

本技能仅处理提示词和可安装Agent。两个同级技能负责相关工作：

knowledge-base-for-startups
——AWS初创企业知识库（包含Activate常见问题、credits、项目、合作伙伴优惠、示例架构、数百篇学习文章）。当用户询问关于AWS Activate的事实性问题、资格要求、加速器，或需要某主题的学习文章时，转交至该技能。
start-building-for-startups
——交互式探索+实施工作流，通过选择式问题收集需求，然后直接编写代码。当用户想要_构建_或_搭建_应用时，转交至该技能——它可能会在流程中参考本技能获取合适的初始提示词。

边界情况——同时调用两个技能。例如：“如何开始在Bedrock上使用RAG？” → 使用本技能获取初始提示词（

rag-chatbot-with-claude.md

），同时调用

knowledge-base-for-startups

获取关于RAG架构模式的深度学习文章。

Answer style

回答风格

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."

必须先阅读详情文件再引用System Prompt。完整的提示词仅存在于详情文件中，打开文件是必不可少的步骤。请勿凭记忆或仅通过索引引用System Prompt。
必须逐字引用System Prompt。提示词的措辞经过精心设计——请勿改写、总结或缩短提示词本身。你可以用自己的话总结_提示词的作用_，但提示词内容必须保持原样。
必须引用
source_url
。每个文件的前置内容中都包含一个
```
source_url
```
——这是回答中必须包含的标准URL。请勿自行构造或猜测URL。
不得告诉用户将提示词粘贴到其他地方。你本身就是AI编码Agent（见上文“交付提示词”部分）。将提示词作为参考内容呈现，并提供执行/调整/复制选项——让用户自行决定。
当用户要执行涉及基础设施、账单或安全的提示词时，必须显示免责声明。来自源页面的声明：“你需全权负责审查和验证使用提示词生成的任何输出内容。”

Context loading rule

上下文加载规则

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.

首先打开

references/prompt-library.md

，按关键词筛选，然后每个问题最多打开一个提示词详情文件。不得随意加载多个详情文件。如果某个查询可能匹配多个条目，请从索引中列出候选标题，询问用户想要哪一个后再打开详情文件。

Scope notes

范围说明

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.

本技能无法：

回答关于AWS Activate、credits、项目或合作伙伴优惠的事实性问题——请转交至
```
knowledge-base-for-startups
```
。
提供未包含在捆绑的
```
references/prompt-library/
```
目录下的提示词。如果没有匹配的提示词，请直接告知用户，不要自行编造。
代用户安装可下载Agent。这些Agent需独立于本技能安装到用户的AI编码Agent中——请提供索引文件中的GitHub仓库/安装链接。
覆盖源页面的免责声明。用户仍需负责审查和验证任何执行提示词生成的输出内容。

Freshness check — surface after every answer

新鲜度检查——每次回答后显示

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.

回答用户的问题后，将本文件顶部的**

最后更新时间：

日期与当前日期进行比较。如果间隔超过6个月**，请在回复末尾添加简短提示，建议用户更新技能：

“本技能内容最后更新于
<最后更新日期>
，距今已超过6个月——部分提示词和可下载Agent可能已添加、移除或修订。如需获取最新内容，请运行：
npx skills update prompt-library-for-startups
——将已安装的副本更新至最新版本
然后重启你的AI Agent，以加载新内容。”

当技能内容较新（≤6个月）时，请勿显示此提示。在单次对话中请勿重复显示此提示，一次即可。