[{"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":193},[336,350,363,378,390,403],{"slug":337,"name":337,"fn":338,"description":339,"org":340,"tags":341,"stars":194,"repoUrl":192,"updatedAt":349},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[342,344,345,348],{"name":217,"slug":216,"type":343},"tag",{"name":214,"slug":213,"type":343},{"name":346,"slug":347,"type":343},"Cost Optimization","cost-optimization",{"name":211,"slug":210,"type":343},"2026-07-12T08:40:03.29555",{"slug":351,"name":351,"fn":352,"description":353,"org":354,"tags":355,"stars":194,"repoUrl":192,"updatedAt":362},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[356,357,358,361],{"name":31,"slug":30,"type":343},{"name":211,"slug":210,"type":343},{"name":359,"slug":360,"type":343},"Management","management",{"name":220,"slug":219,"type":343},"2026-07-12T08:40:02.066471",{"slug":364,"name":364,"fn":365,"description":366,"org":367,"tags":368,"stars":194,"repoUrl":192,"updatedAt":377},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[369,370,371,374],{"name":214,"slug":213,"type":343},{"name":211,"slug":210,"type":343},{"name":372,"slug":373,"type":343},"Financial Statements","financial-statements",{"name":375,"slug":376,"type":343},"Variance Analysis","variance-analysis","2026-07-12T08:40:00.79141",{"slug":379,"name":379,"fn":380,"description":381,"org":382,"tags":383,"stars":194,"repoUrl":192,"updatedAt":223},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[384,385,388],{"name":145,"slug":144,"type":343},{"name":386,"slug":387,"type":343},"Documents","documents",{"name":389,"slug":379,"type":343},"PDF",{"slug":391,"name":391,"fn":392,"description":393,"org":394,"tags":395,"stars":194,"repoUrl":192,"updatedAt":402},"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":5,"name":6,"logoUrl":7,"githubOrg":8},[396,397,398,399],{"name":217,"slug":216,"type":343},{"name":55,"slug":54,"type":343},{"name":211,"slug":210,"type":343},{"name":400,"slug":401,"type":343},"KPI","kpi","2026-07-12T08:39:59.54971",{"slug":404,"name":404,"fn":405,"description":406,"org":407,"tags":408,"stars":194,"repoUrl":192,"updatedAt":415},"revenue-growth-analyst","analyze revenue growth patterns","Deep-dives into revenue growth patterns, growth rates, and growth quality. Use when the user asks specifically about revenue growth, top-line performance, sales growth, revenue acceleration or deceleration, growth trajectory, or wants to understand what is driving revenue changes. NOT for cost or margin analysis — this skill is revenue-focused only.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[409,410,411,412],{"name":214,"slug":213,"type":343},{"name":211,"slug":210,"type":343},{"name":220,"slug":219,"type":343},{"name":413,"slug":414,"type":343},"Sales","sales","2026-07-12T08:39:58.217661"]