[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-aws-labs":3,"repo-skills-v-0-3-0":334},{"org":4,"repos":60},{"slug":5,"name":6,"logoUrl":7,"githubOrg":8,"website":9,"skillCount":10,"repoCount":11,"topRepos":12,"topTags":28,"lastUpdatedAt":59},"aws-labs","AWS Labs","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws-labs.png","awslabs","https:\u002F\u002Faws.amazon.com",150,11,[13,16,19,22,25],{"name":14,"skillCount":15},"awslabs\u002Fstartups",42,{"name":17,"skillCount":18},"awslabs\u002Fhcls-agent-skills",40,{"name":20,"skillCount":21},"awslabs\u002Fagent-plugins",33,{"name":23,"skillCount":24},"awslabs\u002Fcli-agent-orchestrator",16,{"name":26,"skillCount":27},"awslabs\u002Fmcp",7,[29,32,35,38,41,44,47,50,53,56],{"slug":30,"name":31},"aws","AWS",{"slug":33,"name":34},"healthcare","Healthcare",{"slug":36,"name":37},"life-sciences","Life Sciences",{"slug":39,"name":40},"deployment","Deployment",{"slug":42,"name":43},"infrastructure","Infrastructure",{"slug":45,"name":46},"agents","Agents",{"slug":48,"name":49},"architecture","Architecture",{"slug":51,"name":52},"bioinformatics","Bioinformatics",{"slug":54,"name":55},"data-analysis","Data Analysis",{"slug":57,"name":58},"engineering","Engineering","2026-08-01T05:43:53.724377",[61,79,108,131,157,189,224,246,267,284,311],{"name":62,"fullName":14,"repoUrl":63,"skillCount":15,"stars":64,"forks":65,"description":66,"topics":67,"topTags":68,"topTagCount":77,"lastUpdatedAt":78},"startups","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fstartups",14,15,"Official AWS Startups repository that hosts plugins, skills, tools and resources to support startup builders on AWS",[],[69,70,71,72,73,76],{"slug":30,"name":31},{"slug":48,"name":49},{"slug":39,"name":40},{"slug":42,"name":43},{"slug":74,"name":75},"security","Security",{"slug":57,"name":58},57,"2026-07-25T05:32:20.160804",{"name":80,"fullName":17,"repoUrl":81,"skillCount":18,"stars":82,"forks":83,"description":84,"topics":85,"topTags":98,"topTagCount":21,"lastUpdatedAt":107},"hcls-agent-skills","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fhcls-agent-skills",4,0,"Agent skills for healthcare and life sciences: genomics, imaging, claims, drug discovery, and more. Works with Amazon Quick, Kiro, Amazon AgentCore, AWS Strands SDK, Claude Code, Codex, and any Agent Skills-compatible platform.",[86,87,88,89,90,91,92,93,94,36,95,96,97],"agent-skills","agentcore","ai-agents","amazon-quick-desktop","claims-processing","drug-discovery","genomics","healthcare-ai","kiro","medical-imaging","risk-adjustment","strands-agents",[99,100,101,102,103,106],{"slug":36,"name":37},{"slug":33,"name":34},{"slug":51,"name":52},{"slug":54,"name":55},{"slug":104,"name":105},"research","Research",{"slug":30,"name":31},"2026-07-25T05:56:34.955181",{"name":109,"fullName":20,"repoUrl":110,"skillCount":21,"stars":111,"forks":112,"description":113,"topics":114,"topTags":117,"topTagCount":130,"lastUpdatedAt":59},"agent-plugins","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagent-plugins",831,127,"Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.",[109,86,45,30,115,116],"coding-agent-skills","coding-agents",[118,119,120,121,124,127],{"slug":30,"name":31},{"slug":39,"name":40},{"slug":42,"name":43},{"slug":122,"name":123},"debugging","Debugging",{"slug":125,"name":126},"llm","LLM",{"slug":128,"name":129},"observability","Observability",52,{"name":132,"fullName":23,"repoUrl":133,"skillCount":24,"stars":134,"forks":135,"description":136,"topics":137,"topTags":138,"topTagCount":155,"lastUpdatedAt":156},"cli-agent-orchestrator","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fcli-agent-orchestrator",871,164,null,[],[139,140,143,146,149,152],{"slug":45,"name":46},{"slug":141,"name":142},"mcp","MCP",{"slug":144,"name":145},"automation","Automation",{"slug":147,"name":148},"api-development","API Development",{"slug":150,"name":151},"cli","CLI",{"slug":153,"name":154},"orchestration","Orchestration",24,"2026-07-29T06:00:28.147989",{"name":141,"fullName":26,"repoUrl":158,"skillCount":27,"stars":159,"forks":160,"description":161,"topics":162,"topTags":170,"topTagCount":187,"lastUpdatedAt":188},"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmcp",9427,1634,"Open source MCP Servers for AWS",[30,141,163,164,165,166,167,168,169],"mcp-client","mcp-clients","mcp-host","mcp-server","mcp-servers","mcp-tools","modelcontextprotocol",[171,172,175,178,181,184],{"slug":30,"name":31},{"slug":173,"name":174},"database","Database",{"slug":176,"name":177},"serverless","Serverless",{"slug":179,"name":180},"sql","SQL",{"slug":182,"name":183},"migration","Migration",{"slug":185,"name":186},"aurora","Aurora",10,"2026-07-12T08:37:22.601527",{"name":190,"fullName":191,"repoUrl":192,"skillCount":193,"stars":194,"forks":195,"description":196,"topics":197,"topTags":208,"topTagCount":65,"lastUpdatedAt":223},"agentcore-samples","awslabs\u002Fagentcore-samples","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples",6,3176,1233,"Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.",[198,199,45,200,201,202,203,204,205,206,207],"agent","agentic-ai","authentication","bedrock","core","gateway","identity-management","memory-management","production-code","runtime",[209,212,215,218,221,222],{"slug":210,"name":211},"finance","Finance",{"slug":213,"name":214},"analytics","Analytics",{"slug":216,"name":217},"accounting","Accounting",{"slug":219,"name":220},"reporting","Reporting",{"slug":144,"name":145},{"slug":30,"name":31},"2026-07-12T08:41:44.135656",{"name":225,"fullName":226,"repoUrl":227,"skillCount":228,"stars":229,"forks":83,"description":230,"topics":231,"topTags":235,"topTagCount":244,"lastUpdatedAt":245},"codeknit","awslabs\u002Fcodeknit","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fcodeknit",2,3,"Static code structure extractor that turns a codebase into a compact, LLM-friendly graph of functions, classes, and relationships for refactoring, duplicate detection, and analysis across 12 languages",[232,125,233,234],"code-analysis","refactoring","static-analysis",[236,238,239,240,241],{"slug":232,"name":237},"Code Analysis",{"slug":57,"name":58},{"slug":48,"name":49},{"slug":122,"name":123},{"slug":242,"name":243},"git","Git",5,"2026-07-12T08:38:40.01893",{"name":247,"fullName":248,"repoUrl":249,"skillCount":250,"stars":251,"forks":252,"description":136,"topics":253,"topTags":257,"topTagCount":82,"lastUpdatedAt":266},"aws-cloudformation-iam-policy-validator","awslabs\u002Faws-cloudformation-iam-policy-validator","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Faws-cloudformation-iam-policy-validator",1,146,25,[30,254,255,256],"aws-iam","aws-iam-policies","cloudformation",[258,259,262,265],{"slug":30,"name":31},{"slug":260,"name":261},"compliance","Compliance",{"slug":263,"name":264},"infrastructure-as-code","Infrastructure as Code",{"slug":74,"name":75},"2026-07-12T08:37:13.052325",{"name":268,"fullName":269,"repoUrl":270,"skillCount":250,"stars":229,"forks":83,"description":136,"topics":271,"topTags":272,"topTagCount":82,"lastUpdatedAt":283},"managed-service-for-apache-flink-agent-steering-files","awslabs\u002Fmanaged-service-for-apache-flink-agent-steering-files","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmanaged-service-for-apache-flink-agent-steering-files",[],[273,274,277,280],{"slug":30,"name":31},{"slug":275,"name":276},"data-engineering","Data Engineering",{"slug":278,"name":279},"data-pipeline","Data Pipeline",{"slug":281,"name":282},"performance","Performance","2026-07-12T08:37:20.055112",{"name":285,"fullName":286,"repoUrl":287,"skillCount":250,"stars":288,"forks":289,"description":290,"topics":291,"topTags":304,"topTagCount":229,"lastUpdatedAt":310},"nx-plugin-for-aws","awslabs\u002Fnx-plugin-for-aws","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fnx-plugin-for-aws",85,27,"The @aws\u002Fnx-plugin is a collection of code generators that automate the creation and configuration of cloud-native applications using AWS, TypeScript, Python and React within the Nx development ecosystem.",[30,292,293,294,295,296,141,297,298,299,300,301,302,303],"aws-cdk","cloudfront","cloudscape","fastapi","lambda","nx","productivity","python","react","tanstack","trpc","typescript",[305,306,309],{"slug":30,"name":31},{"slug":307,"name":308},"cloud","Cloud",{"slug":263,"name":264},"2026-07-29T05:39:03.760685",{"name":312,"fullName":313,"repoUrl":314,"skillCount":250,"stars":315,"forks":316,"description":317,"topics":318,"topTags":327,"topTagCount":82,"lastUpdatedAt":333},"threat-designer","awslabs\u002Fthreat-designer","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fthreat-designer",267,46,"Threat Designer is a GenerativeAI application designed to automate and streamline the threat modeling process for secure system design.",[199,319,320,321,322,323,324,325,326],"appsec","cybersecurity","devsecops","generativeai","threat-modeling","threat-modeling-tool","threatmodeling","threatmodelling",[328,329,330,331],{"slug":30,"name":31},{"slug":232,"name":237},{"slug":74,"name":75},{"slug":323,"name":332},"Threat Modeling","2026-07-12T08:37:14.772466",{"items":335,"total":15},[336,346,359,371,381,394,405,420,433,444,454,464,476,487,499,511,521,534,547,560,571,582,594,605],{"slug":87,"name":87,"fn":337,"description":338,"org":339,"tags":340,"stars":64,"repoUrl":63,"updatedAt":345},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[341,343,344],{"name":46,"slug":45,"type":342},"tag",{"name":49,"slug":48,"type":342},{"name":31,"slug":30,"type":342},"2026-07-12T08:40:11.108951",{"slug":347,"name":347,"fn":348,"description":349,"org":350,"tags":351,"stars":64,"repoUrl":63,"updatedAt":358},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[352,353,356,357],{"name":46,"slug":45,"type":342},{"name":354,"slug":355,"type":342},"AI Infrastructure","ai-infrastructure",{"name":31,"slug":30,"type":342},{"name":58,"slug":57,"type":342},"2026-07-12T08:40:40.204103",{"slug":360,"name":360,"fn":361,"description":362,"org":363,"tags":364,"stars":64,"repoUrl":63,"updatedAt":370},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[365,366,367],{"name":49,"slug":48,"type":342},{"name":31,"slug":30,"type":342},{"name":368,"slug":369,"type":342},"Strategy","strategy","2026-07-12T08:41:33.557354",{"slug":372,"name":372,"fn":373,"description":374,"org":375,"tags":376,"stars":64,"repoUrl":63,"updatedAt":380},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[377,378,379],{"name":49,"slug":48,"type":342},{"name":31,"slug":30,"type":342},{"name":43,"slug":42,"type":342},"2026-07-12T08:40:57.630086",{"slug":382,"name":382,"fn":383,"description":384,"org":385,"tags":386,"stars":64,"repoUrl":63,"updatedAt":393},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[387,388,389,392],{"name":49,"slug":48,"type":342},{"name":31,"slug":30,"type":342},{"name":390,"slug":391,"type":342},"Cost Optimization","cost-optimization",{"name":75,"slug":74,"type":342},"2026-07-12T08:40:23.960287",{"slug":395,"name":395,"fn":396,"description":397,"org":398,"tags":399,"stars":64,"repoUrl":63,"updatedAt":404},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[400,401,402,403],{"name":31,"slug":30,"type":342},{"name":123,"slug":122,"type":342},{"name":40,"slug":39,"type":342},{"name":129,"slug":128,"type":342},"2026-07-12T08:40:16.767171",{"slug":406,"name":406,"fn":407,"description":408,"org":409,"tags":410,"stars":64,"repoUrl":63,"updatedAt":419},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[411,412,413,416],{"name":49,"slug":48,"type":342},{"name":31,"slug":30,"type":342},{"name":414,"slug":415,"type":342},"Diagrams","diagrams",{"name":417,"slug":418,"type":342},"Visualization","visualization","2026-07-12T08:40:43.26341",{"slug":421,"name":421,"fn":422,"description":423,"org":424,"tags":425,"stars":64,"repoUrl":63,"updatedAt":432},"aws-health-check","perform AWS account health checks","Quick health check on the current AWS account — security posture, cost waste, reliability gaps, and operational readiness. Lighter than a full Well-Architected review.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[426,427,428,431],{"name":31,"slug":30,"type":342},{"name":390,"slug":391,"type":342},{"name":429,"slug":430,"type":342},"Operations","operations",{"name":75,"slug":74,"type":342},"2026-07-12T08:40:26.737995",{"slug":434,"name":434,"fn":435,"description":436,"org":437,"tags":438,"stars":64,"repoUrl":63,"updatedAt":443},"aws-plan","plan AWS infrastructure and architecture","End-to-end AWS architecture planning — discovery, design, security review, cost estimate, and SCP recommendations. Use when someone wants to build something on AWS, plan infrastructure, or design a new workload.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[439,440,441,442],{"name":49,"slug":48,"type":342},{"name":31,"slug":30,"type":342},{"name":390,"slug":391,"type":342},{"name":75,"slug":74,"type":342},"2026-07-12T08:40:09.859923",{"slug":201,"name":201,"fn":445,"description":446,"org":447,"tags":448,"stars":64,"repoUrl":63,"updatedAt":453},"build applications with Amazon Bedrock","Deep-dive into Amazon Bedrock — model selection, agents, knowledge bases, guardrails, prompt engineering, and cost modeling. This skill should be used when the user asks to \"build with Bedrock\", \"select a Bedrock model\", \"design a Bedrock agent\", \"set up a knowledge base\", \"configure guardrails\", \"estimate Bedrock costs\", \"optimize Bedrock pricing\", \"use prompt caching\", \"compare Bedrock models\", or mentions Amazon Bedrock, foundation models, RAG on AWS, or generative AI on AWS.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[449,450,451,452],{"name":46,"slug":45,"type":342},{"name":354,"slug":355,"type":342},{"name":31,"slug":30,"type":342},{"name":126,"slug":125,"type":342},"2026-07-12T08:40:07.320518",{"slug":455,"name":455,"fn":456,"description":457,"org":458,"tags":459,"stars":64,"repoUrl":63,"updatedAt":463},"challenger","stress-test agent outputs and reasoning","Adversarial reviewer that stress-tests other agents' outputs for reasoning gaps, unsupported assumptions, over-engineering, and missed alternatives. Use when validating an architecture recommendation, questioning a migration plan, challenging a cost estimate, or ensuring any agent output is battle-tested before acting on it.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[460,461,462],{"name":46,"slug":45,"type":342},{"name":123,"slug":122,"type":342},{"name":58,"slug":57,"type":342},"2026-07-12T08:40:41.915026",{"slug":293,"name":293,"fn":465,"description":466,"org":467,"tags":468,"stars":64,"repoUrl":63,"updatedAt":475},"configure Amazon CloudFront distributions","Design and configure Amazon CloudFront distributions. Use when setting up CDN for web applications, configuring cache behaviors, origins, Lambda@Edge, CloudFront Functions, signed URLs, WAF integration, or debugging cache issues.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[469,470,471,474],{"name":31,"slug":30,"type":342},{"name":40,"slug":39,"type":342},{"name":472,"slug":473,"type":342},"Networking","networking",{"name":282,"slug":281,"type":342},"2026-07-12T08:40:18.115518",{"slug":477,"name":477,"fn":478,"description":479,"org":480,"tags":481,"stars":64,"repoUrl":63,"updatedAt":486},"cost-check","analyze and optimize AWS infrastructure costs","Analyze and optimize AWS costs. Use when reviewing infrastructure for cost savings, estimating costs for new architectures, investigating unexpected charges, or comparing pricing between service options.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[482,483,484,485],{"name":31,"slug":30,"type":342},{"name":390,"slug":391,"type":342},{"name":211,"slug":210,"type":342},{"name":429,"slug":430,"type":342},"2026-07-12T08:40:19.707048",{"slug":488,"name":488,"fn":489,"description":490,"org":491,"tags":492,"stars":64,"repoUrl":63,"updatedAt":498},"customer-ideation","guide AWS architecture discovery and selection","Guide customers from idea to AWS architecture with structured discovery, service selection, and Well-Architected review. Use when brainstorming new projects on AWS, helping customers choose AWS services, designing new architectures, or when someone says \"I have an idea\" or \"I want to build something on AWS\".",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[493,494,495],{"name":49,"slug":48,"type":342},{"name":31,"slug":30,"type":342},{"name":496,"slug":497,"type":342},"Ideation","ideation","2026-07-12T08:40:29.304428",{"slug":500,"name":500,"fn":501,"description":502,"org":503,"tags":504,"stars":64,"repoUrl":63,"updatedAt":510},"dynamodb","design DynamoDB schemas and access patterns","Deep-dive into Amazon DynamoDB table design, access patterns, and operations. Use when designing DynamoDB schemas, choosing partition keys, planning GSI\u002FLSI strategies, implementing single-table design, configuring capacity modes, or troubleshooting performance issues.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[505,506,507],{"name":31,"slug":30,"type":342},{"name":174,"slug":173,"type":342},{"name":508,"slug":509,"type":342},"NoSQL","nosql","2026-07-12T08:40:08.609534",{"slug":512,"name":512,"fn":513,"description":514,"org":515,"tags":516,"stars":64,"repoUrl":63,"updatedAt":520},"ec2","configure and optimize Amazon EC2 workloads","Design, configure, and optimize Amazon EC2 workloads. Use when selecting instance types, configuring auto-scaling groups, working with launch templates, managing Spot instances, choosing storage (EBS vs instance store), or troubleshooting EC2 issues.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[517,518,519],{"name":31,"slug":30,"type":342},{"name":43,"slug":42,"type":342},{"name":282,"slug":281,"type":342},"2026-07-12T08:41:08.20409",{"slug":522,"name":522,"fn":523,"description":524,"org":525,"tags":526,"stars":64,"repoUrl":63,"updatedAt":533},"ecs","deploy and configure ECS container services","This skill should be used when the user asks to \"deploy containers on ECS\", \"set up an ECS service\", \"choose between Fargate and EC2\", \"configure ECS task definitions\", \"set up ECS auto-scaling\", \"use ECS Express Mode\", \"migrate from App Runner\", or mentions ECS load balancing, deployment strategies, or container orchestration on AWS.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[527,528,531,532],{"name":31,"slug":30,"type":342},{"name":529,"slug":530,"type":342},"Containers","containers",{"name":40,"slug":39,"type":342},{"name":43,"slug":42,"type":342},"2026-07-12T08:40:04.845668",{"slug":535,"name":535,"fn":536,"description":537,"org":538,"tags":539,"stars":64,"repoUrl":63,"updatedAt":546},"ecs-soci","generate ECS Fargate SOCI configurations","Generate a complete ECS Fargate SOCI (Seekable OCI) example with Terraform. Demonstrates lazy-loading container images for faster task startup using SOCI index v2 manifests. Includes a heavy ML inference container (PyTorch + FastAPI) with and without SOCI for comparison. Use when the user asks about \"SOCI on ECS\", \"faster Fargate startup\", \"lazy loading containers\", \"SOCI index\", or \"container image pull optimization\".",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[540,541,542,543],{"name":31,"slug":30,"type":342},{"name":40,"slug":39,"type":342},{"name":264,"slug":263,"type":342},{"name":544,"slug":545,"type":342},"Terraform","terraform","2026-07-12T08:40:37.654806",{"slug":548,"name":548,"fn":549,"description":550,"org":551,"tags":552,"stars":64,"repoUrl":63,"updatedAt":559},"eks","design and troubleshoot Amazon EKS clusters","Design, deploy, and troubleshoot Amazon EKS clusters. Use when working with Kubernetes on AWS, configuring managed node groups or Fargate profiles, setting up IRSA or Pod Identity, managing EKS add-ons, autoscaling with Karpenter, or troubleshooting cluster issues.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[553,554,555,556],{"name":31,"slug":30,"type":342},{"name":40,"slug":39,"type":342},{"name":43,"slug":42,"type":342},{"name":557,"slug":558,"type":342},"Kubernetes","kubernetes","2026-07-12T08:40:06.088738",{"slug":561,"name":561,"fn":562,"description":563,"org":564,"tags":565,"stars":64,"repoUrl":63,"updatedAt":570},"hipaa-assistant","perform HIPAA compliance scans on AWS","Activate when the user asks about HIPAA compliance scanning, validating AWS configurations against HIPAA Security Rule controls, or pre-deployment HIPAA checks for GenAI workloads on AWS.\n",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[566,567,568,569],{"name":31,"slug":30,"type":342},{"name":261,"slug":260,"type":342},{"name":34,"slug":33,"type":342},{"name":75,"slug":74,"type":342},"2026-07-16T06:00:35.461939",{"slug":572,"name":572,"fn":573,"description":574,"org":575,"tags":576,"stars":64,"repoUrl":63,"updatedAt":581},"iac-scaffold","scaffold AWS infrastructure as code","Scaffold new AWS infrastructure-as-code projects using CDK, Terraform, SAM, or CloudFormation. Use when creating new IaC projects, adding new stacks\u002Fmodules, or setting up deployment pipelines for AWS infrastructure.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[577,578,579,580],{"name":31,"slug":30,"type":342},{"name":40,"slug":39,"type":342},{"name":264,"slug":263,"type":342},{"name":544,"slug":545,"type":342},"2026-07-12T08:40:25.485349",{"slug":583,"name":583,"fn":584,"description":585,"org":586,"tags":587,"stars":64,"repoUrl":63,"updatedAt":593},"iam","design and review AWS IAM configurations","Design and review AWS IAM configurations. Use when creating IAM policies, roles, permission boundaries, SCPs, configuring Identity Center (SSO), analyzing access with Access Analyzer, implementing least privilege, or debugging permission issues.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[588,589,592],{"name":31,"slug":30,"type":342},{"name":590,"slug":591,"type":342},"Permissions","permissions",{"name":75,"slug":74,"type":342},"2026-07-12T08:40:34.922261",{"slug":595,"name":595,"fn":596,"description":597,"org":598,"tags":599,"stars":64,"repoUrl":63,"updatedAt":604},"iot","design AWS IoT solutions and connectivity","Deep-dive into AWS IoT architecture, device connectivity, edge computing, and fleet management. This skill should be used when the user asks to \"design an IoT solution\", \"connect devices to AWS\", \"set up MQTT messaging\", \"configure IoT rules\", \"provision a device fleet\", \"use Greengrass at the edge\", \"build a device shadow\", \"set up IoT security\", \"manage OTA updates\", \"store telemetry data\", \"create IoT topic rules\", \"configure fleet provisioning\", or mentions IoT Core, MQTT, Greengrass, Device Shadow, IoT Rules Engine, IoT Events, IoT SiteWise, fleet indexing, or device certificates.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[600,601,602],{"name":31,"slug":30,"type":342},{"name":43,"slug":42,"type":342},{"name":603,"slug":595,"type":342},"IoT","2026-07-12T08:40:36.225644",{"slug":606,"name":606,"fn":607,"description":608,"org":609,"tags":610,"stars":64,"repoUrl":63,"updatedAt":617},"knowledge-base-for-startups","retrieve AWS startup reference content","AWS Startups reference content — Activate FAQ, credits guide, programs, partner offers, sample architectures, and hundreds of learn articles spanning generative AI, cloud architecture, cost optimization, security, fundraising, go-to-market, and real-world startup case studies. Use when the user asks factual questions about AWS Activate (eligibility, credits, programs, providers), wants a sample architecture or solution guide, or needs an AWS-curated learn article on a specific startup topic. For copy-paste AI prompts (RAG chatbot, MVP scaffold, security baseline, GPU quota, etc.), see the prompt-library-for-startups skill. Do not use for: account-specific lookups (credits balance, Activate membership status, application status), real-time event listings beyond the events stub, or content not present in the bundled `references\u002F` tree.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[611,612,613,616],{"name":31,"slug":30,"type":342},{"name":308,"slug":307,"type":342},{"name":614,"slug":615,"type":342},"Documentation","documentation",{"name":105,"slug":104,"type":342},"2026-07-25T05:32:19.312255"]