[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-aws-labs-prompt-library-for-startups":3,"mdc-xmkx5b-key":37,"related-org-aws-labs-prompt-library-for-startups":1305,"related-repo-aws-labs-prompt-library-for-startups":1484},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":26,"repoUrl":27,"updatedAt":28,"license":29,"forks":30,"topics":31,"repo":32,"sourceUrl":35,"mdContent":36},"prompt-library-for-startups","provide AI coding prompts for startups","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 \u002F cost monitoring \u002F quota management \u002F Bedrock model availability \u002F database selection, or asks how to use AWS prompts. For migration intent (GCP to AWS, OpenAI\u002FGemini to Bedrock), route to the migration-to-aws skill. Do not use for: factual AWS Activate \u002F programs \u002F credits questions, learn articles, sample architectures, or for prompts that are not in the bundled `references\u002Fprompt-library\u002F` tree.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"aws-labs","AWS Labs","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws-labs.png","awslabs",[13,17,20,23],{"name":14,"slug":15,"type":16},"LLM","llm","tag",{"name":18,"slug":19,"type":16},"Coding","coding",{"name":21,"slug":22,"type":16},"Engineering","engineering",{"name":24,"slug":25,"type":16},"AWS","aws",14,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fstartups","2026-07-25T05:32:20.160804",null,15,[],{"repoUrl":27,"stars":26,"forks":30,"topics":33,"description":34},[],"Official AWS Startups repository that hosts plugins, skills, tools and resources to support startup builders on AWS","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fstartups\u002Ftree\u002FHEAD\u002Fadvisor\u002Fplugins\u002Faws-startup-advisor\u002Fskills\u002Fprompt-library-for-startups","---\nname: prompt-library-for-startups\ndescription: \"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 \u002F cost monitoring \u002F quota management \u002F Bedrock model availability \u002F database selection, or asks how to use AWS prompts. For migration intent (GCP to AWS, OpenAI\u002FGemini to Bedrock), route to the migration-to-aws skill. Do not use for: factual AWS Activate \u002F programs \u002F credits questions, learn articles, sample architectures, or for prompts that are not in the bundled `references\u002Fprompt-library\u002F` tree.\"\n---\n\n# AWS Startups Prompt & Agent Library\n\nSearchable 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\u002Fstartups\u002Fprompt-library](https:\u002F\u002Faws.amazon.com\u002Fstartups\u002Fprompt-library).\n\n**Last updated:** 2026-07-22\n\n---\n\n## Where to start\n\nOpen [`references\u002Fprompt-library.md`](references\u002Fprompt-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\u002Fprompt-library\u002F\u003Cslug>.md`. Each detail file carries the full verbatim **System Prompt** plus a **How to use?** section where available.\n\nThe index has three sections:\n\n1. **Prompts — searchable index** — copy-paste prompts.\n2. **Downloadable agents** — installable agents that clone from a GitHub repo.\n3. **Frequently Asked Questions** — guidance on writing a good prompt, costs, safety, no-technical-background usage, monitoring.\n\n## Handing over a prompt — match the host context\n\n**You ARE already inside an AI coding agent (Claude Code \u002F Kiro \u002F Cursor \u002F etc.). Don't tell the user to \"paste this into your AI tool\" — you ARE the AI tool.**\n\nWhen the user asks for a prompt:\n\n1. Read the index in `references\u002Fprompt-library.md`, filter by keyword, identify the matching slug.\n2. Open `references\u002Fprompt-library\u002F\u003Cslug>.md` and read the full System Prompt.\n3. Surface the prompt to the user as a _reference from the AWS Startups Prompt Library_, then offer them three paths:\n\n   _\"Here's the AWS Startups reference prompt for `\u003Ctask>`. I can:_\n   _- **execute it as-is** against your setup,_\n   _- **adapt it** to your specific requirements (different region, services, language, etc.), or_\n   _- you can **copy it** as a starting point._\n\n   _How would you like to proceed?\"_\n\n4. Don't assume intent. Wait for the user's call (execute \u002F adapt \u002F copy) before acting.\n\n## Downloadable agents — different surface from prompts\n\nThe **Downloadable agents** section of `references\u002Fprompt-library.md` lists **installable agents**, not copy-paste prompts:\n\n- **AWS Multi-Account Transition Advisor** — guides single-account → multi-account (AWS Organizations + OUs).\n- **AWS Bill Shock Preventer** — proactive cost-spike detection and alerting.\n- **AWS Service Quota Agent** — auditing and requesting quota increases.\n- **Bedrock Model Availability Agent** — finds Amazon Bedrock model availability across AWS regions.\n- **AWS DB Advisor** — selecting and operating the right AWS database (selection, HA\u002FDR, cost, migrations).\n\nWhen the user's intent matches one of these — _\"set up multi-account\"_, _\"prevent bill shock\"_, _\"audit service quotas\"_, _\"which Bedrock model \u002F region\"_, _\"which database should I use\"_ — recommend the matching agent **by title and use-case**, then hand over the GitHub repo \u002F install link from the index file. Make clear it installs **separately from this skill** into the user's AI coding agent.\n\nFor 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.\n\n## Routing hints — common queries → which entry\n\n| Query                                                | Entry                                                                                  |\n| ---------------------------------------------------- | -------------------------------------------------------------------------------------- |\n| _\"Give me a prompt for an MVP\"_                      | `awsome-mvp-builder.md`                                                                |\n| _\"Prompt for a RAG chatbot on Bedrock\"_              | `rag-chatbot-with-claude.md`                                                           |\n| _\"How do I set up AWS for the first time?\"_          | `day-one-aws-foundation-setup.md`                                                      |\n| _\"Security baseline \u002F production-readiness audit\"_   | `security-baseline-evaluation.md`, `aws-security-baseline-terraform-deployment-kit.md` |\n| _\"How do I get a GPU instance quota raised?\"_        | `gpu-instance-quota-assistant.md`                                                      |\n| _\"Bedrock model quota \u002F TPM \u002F RPM\"_                  | `bedrock-quota-manager.md`                                                             |\n| _\"Cost anomaly \u002F spend monitoring\"_                  | `cost-anomaly-detection.md`                                                            |\n| _\"EKS with cost-optimized Spot instances\"_           | `cost-optimized-eks-with-spot-instances.md`                                            |\n| _\"Open-source LLM inference\"_                        | `open-source-llm-inference.md`                                                         |\n| _\"Well-Architected Review\"_                          | `well-architecture-review.md`                                                          |\n| _\"Multi-region security assessment\"_                 | `multi-region-assessment.md`                                                           |\n| _\"Migrate Elasticsearch to OpenSearch\"_              | `elasticsearch-to-opensearch-migration.md`                                             |\n| _\"OpenAPI to MCP \u002F AgentCore Gateway\"_               | `openapi-to-agentcore-gateway-deployment.md`                                           |\n| _\"Deploy a GitHub repo to AWS\"_                      | `deploy-github-repo.md`                                                                |\n| _\"Help me migrate workloads to AWS\"_                 | `migration-to-aws` skill (sibling in this plugin)                                      |\n| _\"Set up multi-account on AWS Organizations\"_        | Downloadable: Multi-Account Transition Advisor                                         |\n| _\"Stop bill shock \u002F detect cost spikes proactively\"_ | Downloadable: AWS Bill Shock Preventer                                                 |\n| _\"Manage \u002F request service quotas\"_                  | Downloadable: Service Quota Agent                                                      |\n| _\"Which Bedrock model is available in which region\"_ | Downloadable: Bedrock Model Availability Agent                                         |\n| _\"Which AWS database should I use\"_                  | Downloadable: AWS DB Advisor                                                           |\n\nFor anything else, filter `references\u002Fprompt-library.md` by keyword.\n\n## Companion skills — when to defer\n\nThis skill is **prompts and installable agents only**. Two sibling skills cover adjacent jobs:\n\n- **`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.\n- **`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.\n\nBoundary 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.\n\n## Answer style\n\n- **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.\n- **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.\n- **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.\n- **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 \u002F adapt \u002F copy** — let the user decide.\n- **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.\"_\n\n## Context loading rule\n\nOpen `references\u002Fprompt-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.\n\n## Scope notes\n\nThis skill **cannot**:\n\n- Answer factual questions about AWS Activate, credits, programs, or partner offers — defer to `knowledge-base-for-startups`.\n- Provide prompts that are not in the bundled `references\u002Fprompt-library\u002F` tree. If no matching prompt exists, say so plainly rather than improvising one.\n- 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 \u002F install link from the index file.\n- Override the source-page disclaimer. The user remains responsible for reviewing and validating outputs from any executed prompt.\n\n## Freshness check — surface after every answer\n\nAfter 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:\n\n> _\"This skill's content was last refreshed on `\u003CLast 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:_\n>\n> - _`npx skills update prompt-library-for-startups` — update the installed copy to the latest version_\n>\n> _Then restart your AI agent so the new content is picked up.\"_\n\nDo **not** show this note when the skill is fresh (≤6 months). Do **not** repeat it within a single conversation; once is enough.\n",{"data":38,"body":39},{"name":4,"description":6},{"type":40,"children":41},"root",[42,51,68,79,83,90,180,185,220,226,234,239,343,349,374,428,478,521,527,943,955,961,973,1018,1044,1050,1129,1135,1153,1159,1171,1214,1220,1242,1287],{"type":43,"tag":44,"props":45,"children":47},"element","h1",{"id":46},"aws-startups-prompt-agent-library",[48],{"type":49,"value":50},"text","AWS Startups Prompt & Agent Library",{"type":43,"tag":52,"props":53,"children":54},"p",{},[55,57,66],{"type":49,"value":56},"Searchable index of AWS-curated prompts for AI coding tools (Kiro, Claude Code, Cursor, etc.) plus downloadable installable agents. Content is verbatim from ",{"type":43,"tag":58,"props":59,"children":63},"a",{"href":60,"rel":61},"https:\u002F\u002Faws.amazon.com\u002Fstartups\u002Fprompt-library",[62],"nofollow",[64],{"type":49,"value":65},"aws.amazon.com\u002Fstartups\u002Fprompt-library",{"type":49,"value":67},".",{"type":43,"tag":52,"props":69,"children":70},{},[71,77],{"type":43,"tag":72,"props":73,"children":74},"strong",{},[75],{"type":49,"value":76},"Last updated:",{"type":49,"value":78}," 2026-07-22",{"type":43,"tag":80,"props":81,"children":82},"hr",{},[],{"type":43,"tag":84,"props":85,"children":87},"h2",{"id":86},"where-to-start",[88],{"type":49,"value":89},"Where to start",{"type":43,"tag":52,"props":91,"children":92},{},[93,95,105,107,112,114,120,122,128,129,135,136,142,143,149,150,156,158,164,166,171,173,178],{"type":49,"value":94},"Open ",{"type":43,"tag":58,"props":96,"children":98},{"href":97},"references\u002Fprompt-library.md",[99],{"type":43,"tag":100,"props":101,"children":103},"code",{"className":102},[],[104],{"type":49,"value":97},{"type":49,"value":106}," — it's the index. Filter by the ",{"type":43,"tag":72,"props":108,"children":109},{},[110],{"type":49,"value":111},"Keywords",{"type":49,"value":113}," column (e.g., ",{"type":43,"tag":100,"props":115,"children":117},{"className":116},[],[118],{"type":49,"value":119},"RAG",{"type":49,"value":121},", ",{"type":43,"tag":100,"props":123,"children":125},{"className":124},[],[126],{"type":49,"value":127},"Security & Compliance",{"type":49,"value":121},{"type":43,"tag":100,"props":130,"children":132},{"className":131},[],[133],{"type":49,"value":134},"Cost Optimization",{"type":49,"value":121},{"type":43,"tag":100,"props":137,"children":139},{"className":138},[],[140],{"type":49,"value":141},"EKS",{"type":49,"value":121},{"type":43,"tag":100,"props":144,"children":146},{"className":145},[],[147],{"type":49,"value":148},"Beginner",{"type":49,"value":121},{"type":43,"tag":100,"props":151,"children":153},{"className":152},[],[154],{"type":49,"value":155},"Bedrock",{"type":49,"value":157},"), then open the linked detail file under ",{"type":43,"tag":100,"props":159,"children":161},{"className":160},[],[162],{"type":49,"value":163},"references\u002Fprompt-library\u002F\u003Cslug>.md",{"type":49,"value":165},". Each detail file carries the full verbatim ",{"type":43,"tag":72,"props":167,"children":168},{},[169],{"type":49,"value":170},"System Prompt",{"type":49,"value":172}," plus a ",{"type":43,"tag":72,"props":174,"children":175},{},[176],{"type":49,"value":177},"How to use?",{"type":49,"value":179}," section where available.",{"type":43,"tag":52,"props":181,"children":182},{},[183],{"type":49,"value":184},"The index has three sections:",{"type":43,"tag":186,"props":187,"children":188},"ol",{},[189,200,210],{"type":43,"tag":190,"props":191,"children":192},"li",{},[193,198],{"type":43,"tag":72,"props":194,"children":195},{},[196],{"type":49,"value":197},"Prompts — searchable index",{"type":49,"value":199}," — copy-paste prompts.",{"type":43,"tag":190,"props":201,"children":202},{},[203,208],{"type":43,"tag":72,"props":204,"children":205},{},[206],{"type":49,"value":207},"Downloadable agents",{"type":49,"value":209}," — installable agents that clone from a GitHub repo.",{"type":43,"tag":190,"props":211,"children":212},{},[213,218],{"type":43,"tag":72,"props":214,"children":215},{},[216],{"type":49,"value":217},"Frequently Asked Questions",{"type":49,"value":219}," — guidance on writing a good prompt, costs, safety, no-technical-background usage, monitoring.",{"type":43,"tag":84,"props":221,"children":223},{"id":222},"handing-over-a-prompt-match-the-host-context",[224],{"type":49,"value":225},"Handing over a prompt — match the host context",{"type":43,"tag":52,"props":227,"children":228},{},[229],{"type":43,"tag":72,"props":230,"children":231},{},[232],{"type":49,"value":233},"You ARE already inside an AI coding agent (Claude Code \u002F Kiro \u002F Cursor \u002F etc.). Don't tell the user to \"paste this into your AI tool\" — you ARE the AI tool.",{"type":43,"tag":52,"props":235,"children":236},{},[237],{"type":49,"value":238},"When the user asks for a prompt:",{"type":43,"tag":186,"props":240,"children":241},{},[242,254,265,338],{"type":43,"tag":190,"props":243,"children":244},{},[245,247,252],{"type":49,"value":246},"Read the index in ",{"type":43,"tag":100,"props":248,"children":250},{"className":249},[],[251],{"type":49,"value":97},{"type":49,"value":253},", filter by keyword, identify the matching slug.",{"type":43,"tag":190,"props":255,"children":256},{},[257,258,263],{"type":49,"value":94},{"type":43,"tag":100,"props":259,"children":261},{"className":260},[],[262],{"type":49,"value":163},{"type":49,"value":264}," and read the full System Prompt.",{"type":43,"tag":190,"props":266,"children":267},{},[268,270,276,278,282,295,307,318,330,333],{"type":49,"value":269},"Surface the prompt to the user as a ",{"type":43,"tag":271,"props":272,"children":273},"em",{},[274],{"type":49,"value":275},"reference from the AWS Startups Prompt Library",{"type":49,"value":277},", then offer them three paths:",{"type":43,"tag":279,"props":280,"children":281},"br",{},[],{"type":43,"tag":271,"props":283,"children":284},{},[285,287,293],{"type":49,"value":286},"\"Here's the AWS Startups reference prompt for ",{"type":43,"tag":100,"props":288,"children":290},{"className":289},[],[291],{"type":49,"value":292},"\u003Ctask>",{"type":49,"value":294},". I can:",{"type":43,"tag":271,"props":296,"children":297},{},[298,300,305],{"type":49,"value":299},"- ",{"type":43,"tag":72,"props":301,"children":302},{},[303],{"type":49,"value":304},"execute it as-is",{"type":49,"value":306}," against your setup,",{"type":43,"tag":271,"props":308,"children":309},{},[310,311,316],{"type":49,"value":299},{"type":43,"tag":72,"props":312,"children":313},{},[314],{"type":49,"value":315},"adapt it",{"type":49,"value":317}," to your specific requirements (different region, services, language, etc.), or",{"type":43,"tag":271,"props":319,"children":320},{},[321,323,328],{"type":49,"value":322},"- you can ",{"type":43,"tag":72,"props":324,"children":325},{},[326],{"type":49,"value":327},"copy it",{"type":49,"value":329}," as a starting point.",{"type":43,"tag":279,"props":331,"children":332},{},[],{"type":43,"tag":271,"props":334,"children":335},{},[336],{"type":49,"value":337},"How would you like to proceed?\"",{"type":43,"tag":190,"props":339,"children":340},{},[341],{"type":49,"value":342},"Don't assume intent. Wait for the user's call (execute \u002F adapt \u002F copy) before acting.",{"type":43,"tag":84,"props":344,"children":346},{"id":345},"downloadable-agents-different-surface-from-prompts",[347],{"type":49,"value":348},"Downloadable agents — different surface from prompts",{"type":43,"tag":52,"props":350,"children":351},{},[352,354,358,360,365,367,372],{"type":49,"value":353},"The ",{"type":43,"tag":72,"props":355,"children":356},{},[357],{"type":49,"value":207},{"type":49,"value":359}," section of ",{"type":43,"tag":100,"props":361,"children":363},{"className":362},[],[364],{"type":49,"value":97},{"type":49,"value":366}," lists ",{"type":43,"tag":72,"props":368,"children":369},{},[370],{"type":49,"value":371},"installable agents",{"type":49,"value":373},", not copy-paste prompts:",{"type":43,"tag":375,"props":376,"children":377},"ul",{},[378,388,398,408,418],{"type":43,"tag":190,"props":379,"children":380},{},[381,386],{"type":43,"tag":72,"props":382,"children":383},{},[384],{"type":49,"value":385},"AWS Multi-Account Transition Advisor",{"type":49,"value":387}," — guides single-account → multi-account (AWS Organizations + OUs).",{"type":43,"tag":190,"props":389,"children":390},{},[391,396],{"type":43,"tag":72,"props":392,"children":393},{},[394],{"type":49,"value":395},"AWS Bill Shock Preventer",{"type":49,"value":397}," — proactive cost-spike detection and alerting.",{"type":43,"tag":190,"props":399,"children":400},{},[401,406],{"type":43,"tag":72,"props":402,"children":403},{},[404],{"type":49,"value":405},"AWS Service Quota Agent",{"type":49,"value":407}," — auditing and requesting quota increases.",{"type":43,"tag":190,"props":409,"children":410},{},[411,416],{"type":43,"tag":72,"props":412,"children":413},{},[414],{"type":49,"value":415},"Bedrock Model Availability Agent",{"type":49,"value":417}," — finds Amazon Bedrock model availability across AWS regions.",{"type":43,"tag":190,"props":419,"children":420},{},[421,426],{"type":43,"tag":72,"props":422,"children":423},{},[424],{"type":49,"value":425},"AWS DB Advisor",{"type":49,"value":427}," — selecting and operating the right AWS database (selection, HA\u002FDR, cost, migrations).",{"type":43,"tag":52,"props":429,"children":430},{},[431,433,438,439,444,445,450,451,456,457,462,464,469,471,476],{"type":49,"value":432},"When the user's intent matches one of these — ",{"type":43,"tag":271,"props":434,"children":435},{},[436],{"type":49,"value":437},"\"set up multi-account\"",{"type":49,"value":121},{"type":43,"tag":271,"props":440,"children":441},{},[442],{"type":49,"value":443},"\"prevent bill shock\"",{"type":49,"value":121},{"type":43,"tag":271,"props":446,"children":447},{},[448],{"type":49,"value":449},"\"audit service quotas\"",{"type":49,"value":121},{"type":43,"tag":271,"props":452,"children":453},{},[454],{"type":49,"value":455},"\"which Bedrock model \u002F region\"",{"type":49,"value":121},{"type":43,"tag":271,"props":458,"children":459},{},[460],{"type":49,"value":461},"\"which database should I use\"",{"type":49,"value":463}," — recommend the matching agent ",{"type":43,"tag":72,"props":465,"children":466},{},[467],{"type":49,"value":468},"by title and use-case",{"type":49,"value":470},", then hand over the GitHub repo \u002F install link from the index file. Make clear it installs ",{"type":43,"tag":72,"props":472,"children":473},{},[474],{"type":49,"value":475},"separately from this skill",{"type":49,"value":477}," into the user's AI coding agent.",{"type":43,"tag":52,"props":479,"children":480},{},[481,483,488,489,494,495,500,502,511,513,519],{"type":49,"value":482},"For migration intent — ",{"type":43,"tag":271,"props":484,"children":485},{},[486],{"type":49,"value":487},"\"help me migrate to AWS\"",{"type":49,"value":121},{"type":43,"tag":271,"props":490,"children":491},{},[492],{"type":49,"value":493},"\"GCP to AWS\"",{"type":49,"value":121},{"type":43,"tag":271,"props":496,"children":497},{},[498],{"type":49,"value":499},"\"move off OpenAI to Bedrock\"",{"type":49,"value":501}," — route to the ",{"type":43,"tag":72,"props":503,"children":504},{},[505],{"type":43,"tag":100,"props":506,"children":508},{"className":507},[],[509],{"type":49,"value":510},"migration-to-aws",{"type":49,"value":512}," skill in the 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Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1313,1314,1317,1320],{"name":24,"slug":25,"type":16},{"name":1315,"slug":1316,"type":16},"Debugging","debugging",{"name":1318,"slug":1319,"type":16},"Logs","logs",{"name":1321,"slug":1322,"type":16},"Observability","observability",9427,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmcp","2026-07-12T08:37:22.601527",{"slug":1327,"name":1328,"fn":1329,"description":1330,"org":1331,"tags":1332,"stars":1323,"repoUrl":1324,"updatedAt":1346},"amazon-aurora-dsql","amazon aurora dsql","build applications with Aurora DSQL","Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, FK replacement code generation, OCC retry patterns, ORM migration (Django\u002FHibernate\u002FRails), DDL operations, query plan explainability, SQL compatibility validation, and bulk data loading. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow, DSQL foreign key, DSQL OCC retry, DSQL multi-region, load into DSQL, load CSV into DSQL, bulk load DSQL, aurora-dsql-loader.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1333,1336,1337,1340,1343],{"name":1334,"slug":1335,"type":16},"Aurora","aurora",{"name":24,"slug":25,"type":16},{"name":1338,"slug":1339,"type":16},"Database","database",{"name":1341,"slug":1342,"type":16},"Serverless","serverless",{"name":1344,"slug":1345,"type":16},"SQL","sql","2026-07-12T08:36:45.053393",{"slug":1348,"name":1349,"fn":1329,"description":1330,"org":1350,"tags":1351,"stars":1323,"repoUrl":1324,"updatedAt":1356},"aurora-dsql","aurora dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1352,1353,1354,1355],{"name":24,"slug":25,"type":16},{"name":1338,"slug":1339,"type":16},{"name":1341,"slug":1342,"type":16},{"name":1344,"slug":1345,"type":16},"2026-07-12T08:36:42.694299",{"slug":1358,"name":1359,"fn":1329,"description":1330,"org":1360,"tags":1361,"stars":1323,"repoUrl":1324,"updatedAt":1369},"aws-dsql","aws dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1362,1363,1364,1367,1368],{"name":24,"slug":25,"type":16},{"name":1338,"slug":1339,"type":16},{"name":1365,"slug":1366,"type":16},"Migration","migration",{"name":1341,"slug":1342,"type":16},{"name":1344,"slug":1345,"type":16},"2026-07-12T08:36:38.584057",{"slug":1371,"name":1372,"fn":1329,"description":1330,"org":1373,"tags":1374,"stars":1323,"repoUrl":1324,"updatedAt":1382},"distributed-postgres","distributed postgres",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1375,1376,1377,1380,1381],{"name":24,"slug":25,"type":16},{"name":1338,"slug":1339,"type":16},{"name":1378,"slug":1379,"type":16},"PostgreSQL","postgresql",{"name":1341,"slug":1342,"type":16},{"name":1344,"slug":1345,"type":16},"2026-07-12T08:36:46.530743",{"slug":1384,"name":1385,"fn":1329,"description":1330,"org":1386,"tags":1387,"stars":1323,"repoUrl":1324,"updatedAt":1392},"distributed-sql","distributed sql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1388,1389,1390,1391],{"name":24,"slug":25,"type":16},{"name":1338,"slug":1339,"type":16},{"name":1341,"slug":1342,"type":16},{"name":1344,"slug":1345,"type":16},"2026-07-12T08:36:48.104182",{"slug":1394,"name":1394,"fn":1329,"description":1330,"org":1395,"tags":1396,"stars":1323,"repoUrl":1324,"updatedAt":1402},"dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1397,1398,1399,1400,1401],{"name":24,"slug":25,"type":16},{"name":1338,"slug":1339,"type":16},{"name":1365,"slug":1366,"type":16},{"name":1341,"slug":1342,"type":16},{"name":1344,"slug":1345,"type":16},"2026-07-12T08:36:36.374512",{"slug":1404,"name":1404,"fn":1405,"description":1406,"org":1407,"tags":1408,"stars":1420,"repoUrl":1421,"updatedAt":1422},"cost-efficiency-analyzer","analyze cost efficiency and expenses","Analyzes cost structure, cost efficiency, and expense management from P&L data. Use when the user asks about costs, expenses, COGS, operating expenses, cost ratios, cost control, spending efficiency, margin compression from cost side, or wants to understand where money is going. Also use for \"are we spending too much\", \"cost breakdown\", \"expense analysis\", or \"how efficient are our operations\". NOT for revenue or top-line analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1409,1412,1415,1417],{"name":1410,"slug":1411,"type":16},"Accounting","accounting",{"name":1413,"slug":1414,"type":16},"Analytics","analytics",{"name":134,"slug":1416,"type":16},"cost-optimization",{"name":1418,"slug":1419,"type":16},"Finance","finance",3176,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples","2026-07-12T08:40:03.29555",{"slug":1424,"name":1424,"fn":1425,"description":1426,"org":1427,"tags":1428,"stars":1420,"repoUrl":1421,"updatedAt":1437},"executive-financial-briefing","generate executive financial briefings","Generates a concise executive-level financial briefing or summary suitable for a CEO, CFO, or board presentation. Use when the user asks for a summary, briefing, executive summary, board update, financial overview, financial health check, or \"how is the business doing\". Covers the full P&L picture in one page. Also use for \"give me the highlights\", \"what do I need to know\", or \"quick financial update\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1429,1430,1431,1434],{"name":24,"slug":25,"type":16},{"name":1418,"slug":1419,"type":16},{"name":1432,"slug":1433,"type":16},"Management","management",{"name":1435,"slug":1436,"type":16},"Reporting","reporting","2026-07-12T08:40:02.066471",{"slug":1439,"name":1439,"fn":1440,"description":1441,"org":1442,"tags":1443,"stars":1420,"repoUrl":1421,"updatedAt":1452},"multi-quarter-trend-analysis","analyze multi-quarter financial trends","Analyzes financial trends across multiple quarters by comparing P&L metrics over time. Use when the user wants to see trends, patterns, trajectories, or directional movement across 3 or more quarters. Also use for \"how are we trending\", \"show me the trend\", \"track performance over time\", \"quarter over quarter comparison across all quarters\", or any multi-period longitudinal analysis.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1444,1445,1446,1449],{"name":1413,"slug":1414,"type":16},{"name":1418,"slug":1419,"type":16},{"name":1447,"slug":1448,"type":16},"Financial Statements","financial-statements",{"name":1450,"slug":1451,"type":16},"Variance Analysis","variance-analysis","2026-07-12T08:40:00.79141",{"slug":1454,"name":1454,"fn":1455,"description":1456,"org":1457,"tags":1458,"stars":1420,"repoUrl":1421,"updatedAt":1467},"pdf","process and manipulate PDF documents","Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text\u002Ftables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting\u002Fdecrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1459,1462,1465],{"name":1460,"slug":1461,"type":16},"Automation","automation",{"name":1463,"slug":1464,"type":16},"Documents","documents",{"name":1466,"slug":1454,"type":16},"PDF","2026-07-12T08:41:44.135656",{"slug":1469,"name":1469,"fn":1470,"description":1471,"org":1472,"tags":1473,"stars":1420,"repoUrl":1421,"updatedAt":1482},"quarterly-kpi-calculator","calculate quarterly financial KPIs","Calculates quarterly financial KPIs from P&L data. P&L figures can be provided directly by the user or fetched from the financial data MCP server. Use when the user wants KPI calculations such as Gross Margin %, EBITDA Margin %, Operating Expense Ratio, or Revenue Growth % QoQ. Also use for quarterly performance review, P&L analysis, or interpreting financial ratios against benchmarks.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1474,1475,1478,1479],{"name":1410,"slug":1411,"type":16},{"name":1476,"slug":1477,"type":16},"Data Analysis","data-analysis",{"name":1418,"slug":1419,"type":16},{"name":1480,"slug":1481,"type":16},"KPI","kpi","2026-07-12T08:39:59.54971",150,{"items":1485,"total":1578},[1486,1500,1513,1525,1537,1550,1563],{"slug":1487,"name":1487,"fn":1488,"description":1489,"org":1490,"tags":1491,"stars":26,"repoUrl":27,"updatedAt":1499},"agentcore","design Amazon Bedrock AgentCore architectures","Deep-dive into Amazon Bedrock AgentCore platform design, service selection, deployment, and production operations. This skill should be used when the user asks to \"design an AgentCore architecture\", \"deploy agents on AgentCore\", \"configure AgentCore Runtime\", \"set up AgentCore Memory\", \"use AgentCore Gateway\", \"configure AgentCore Identity\", \"set up AgentCore Policy\", \"plan agent observability\", \"evaluate agent quality\", \"move agent PoC to production\", or mentions AgentCore, AgentCore Runtime, AgentCore Memory, AgentCore Gateway, AgentCore Identity, AgentCore Policy, AgentCore Evaluations, AgentCore Code Interpreter, AgentCore Browser, A2A protocol, or multi-agent orchestration on AWS.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1492,1495,1498],{"name":1493,"slug":1494,"type":16},"Agents","agents",{"name":1496,"slug":1497,"type":16},"Architecture","architecture",{"name":24,"slug":25,"type":16},"2026-07-12T08:40:11.108951",{"slug":1501,"name":1501,"fn":1502,"description":1503,"org":1504,"tags":1505,"stars":26,"repoUrl":27,"updatedAt":1512},"aidlc-lite","develop AI applications on AWS","Lightweight AI development lifecycle for building on AWS. A simplified take on the AI-DLC philosophy — think together, then build fast. Acts as a design partner that understands intent, proposes alternatives with trade-offs, and ships working code without the ceremony of full requirements\u002Fdesign\u002Fspec documents. Use when a founder says \"build X on AWS\", \"add Y to my stack\", \"scaffold an API\", or \"write the CDK for Z\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1506,1507,1510,1511],{"name":1493,"slug":1494,"type":16},{"name":1508,"slug":1509,"type":16},"AI Infrastructure","ai-infrastructure",{"name":24,"slug":25,"type":16},{"name":21,"slug":22,"type":16},"2026-07-12T08:40:40.204103",{"slug":1514,"name":1514,"fn":1515,"description":1516,"org":1517,"tags":1518,"stars":26,"repoUrl":27,"updatedAt":1524},"architect-for-startups","advise on AWS architecture for startups","AWS architecture advisor tailored specifically for startups. Alters AWS architecture recommendations based on startup stage (pre-revenue through Series B+), team size, runway, and credits. ALWAYS use when asked about building on AWS, choosing services, planning infrastructure, managing costs with credits, or preparing architecture for fundraising.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1519,1520,1521],{"name":1496,"slug":1497,"type":16},{"name":24,"slug":25,"type":16},{"name":1522,"slug":1523,"type":16},"Strategy","strategy","2026-07-12T08:41:33.557354",{"slug":1526,"name":1526,"fn":1527,"description":1528,"org":1529,"tags":1530,"stars":26,"repoUrl":27,"updatedAt":1536},"aws-architect","design and review AWS architectures","Design and review AWS architectures following Well-Architected Framework principles. Use when planning new infrastructure, reviewing existing architectures, evaluating trade-offs between AWS services, or when asked about AWS best practices.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1531,1532,1533],{"name":1496,"slug":1497,"type":16},{"name":24,"slug":25,"type":16},{"name":1534,"slug":1535,"type":16},"Infrastructure","infrastructure","2026-07-12T08:40:57.630086",{"slug":1538,"name":1538,"fn":1539,"description":1540,"org":1541,"tags":1542,"stars":26,"repoUrl":27,"updatedAt":1549},"aws-compare","compare AWS architecture options","Compare 2-3 AWS architecture options side-by-side across cost, complexity, performance, security, and operational burden. Use when evaluating trade-offs between approaches or when the user is deciding between options.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1543,1544,1545,1546],{"name":1496,"slug":1497,"type":16},{"name":24,"slug":25,"type":16},{"name":134,"slug":1416,"type":16},{"name":1547,"slug":1548,"type":16},"Security","security","2026-07-12T08:40:23.960287",{"slug":1551,"name":1551,"fn":1552,"description":1553,"org":1554,"tags":1555,"stars":26,"repoUrl":27,"updatedAt":1562},"aws-debug","debug AWS infrastructure and deployment failures","Debug AWS infrastructure issues, deployment failures, and runtime errors. Use when troubleshooting CloudFormation stack failures, Lambda errors, ECS task failures, permission issues, networking problems, or any AWS service misbehavior.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1556,1557,1558,1561],{"name":24,"slug":25,"type":16},{"name":1315,"slug":1316,"type":16},{"name":1559,"slug":1560,"type":16},"Deployment","deployment",{"name":1321,"slug":1322,"type":16},"2026-07-12T08:40:16.767171",{"slug":1564,"name":1564,"fn":1565,"description":1566,"org":1567,"tags":1568,"stars":26,"repoUrl":27,"updatedAt":1577},"aws-diagram","generate AWS architecture diagrams","Generate AWS architecture diagrams in Mermaid or ASCII from a description, existing IaC, or conversation context. Use when the user wants to visualize an architecture.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1569,1570,1571,1574],{"name":1496,"slug":1497,"type":16},{"name":24,"slug":25,"type":16},{"name":1572,"slug":1573,"type":16},"Diagrams","diagrams",{"name":1575,"slug":1576,"type":16},"Visualization","visualization","2026-07-12T08:40:43.26341",42]