[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-aws-labs":3,"repo-skills-v-0-3-0":459},{"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",142,16,[13,16,19,22,25],{"name":14,"skillCount":15},"awslabs\u002Fhcls-agent-skills",41,{"name":17,"skillCount":18},"awslabs\u002Fagent-plugins",33,{"name":20,"skillCount":21},"awslabs\u002Fcli-agent-orchestrator",17,{"name":23,"skillCount":24},"awslabs\u002Fstartups",11,{"name":26,"skillCount":27},"awslabs\u002Faidlc-workflows",8,[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},"agents","Agents",{"slug":42,"name":43},"bioinformatics","Bioinformatics",{"slug":45,"name":46},"engineering","Engineering",{"slug":48,"name":49},"research","Research",{"slug":51,"name":52},"automation","Automation",{"slug":54,"name":55},"data-analysis","Data Analysis",{"slug":57,"name":58},"debugging","Debugging","2026-09-02T07:48:14.446305",[61,88,114,153,170,193,225,258,282,306,339,358,379,397,412,438],{"name":62,"fullName":14,"repoUrl":63,"skillCount":15,"stars":64,"forks":65,"description":66,"topics":67,"topTags":80,"topTagCount":18,"lastUpdatedAt":87},"hcls-agent-skills","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fhcls-agent-skills",20,6,"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.",[68,69,70,71,72,73,74,75,76,36,77,78,79],"agent-skills","agentcore","ai-agents","amazon-quick-desktop","claims-processing","drug-discovery","genomics","healthcare-ai","kiro","medical-imaging","risk-adjustment","strands-agents",[81,82,83,84,85,86],{"slug":33,"name":34},{"slug":36,"name":37},{"slug":42,"name":43},{"slug":54,"name":55},{"slug":48,"name":49},{"slug":30,"name":31},"2026-09-02T07:47:38.990978",{"name":89,"fullName":17,"repoUrl":90,"skillCount":18,"stars":91,"forks":92,"description":93,"topics":94,"topTags":97,"topTagCount":112,"lastUpdatedAt":113},"agent-plugins","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagent-plugins",876,151,"Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.",[89,68,39,30,95,96],"coding-agent-skills","coding-agents",[98,99,102,105,106,109],{"slug":30,"name":31},{"slug":100,"name":101},"deployment","Deployment",{"slug":103,"name":104},"infrastructure","Infrastructure",{"slug":57,"name":58},{"slug":107,"name":108},"llm","LLM",{"slug":110,"name":111},"observability","Observability",52,"2026-08-14T04:27:24.639305",{"name":115,"fullName":20,"repoUrl":116,"skillCount":21,"stars":117,"forks":118,"description":119,"topics":120,"topTags":138,"topTagCount":151,"lastUpdatedAt":152},"cli-agent-orchestrator","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fcli-agent-orchestrator",1151,243,"Multi-agent orchestration for AI coding CLIs — Claude Code, Kiro, Codex, and more, coordinated in isolated tmux sessions",[121,70,122,123,124,125,126,127,128,129,130,76,131,132,133,134,135,136,137],"agent-orchestration","ai-coding-assistant","antigravity","claude-code","codex","copilot-cli","cursor-cli","developer-tools","hermes","kimi-cli","mcp","model-context-protocol","multi-agent-systems","opencode","orchestration","python","tmux",[139,140,142,143,146,149],{"slug":39,"name":40},{"slug":131,"name":141},"MCP",{"slug":51,"name":52},{"slug":144,"name":145},"api-development","API Development",{"slug":147,"name":148},"cli","CLI",{"slug":135,"name":150},"Orchestration",26,"2026-08-23T04:00:13.076812",{"name":154,"fullName":23,"repoUrl":155,"skillCount":24,"stars":11,"forks":156,"description":157,"topics":158,"topTags":159,"topTagCount":151,"lastUpdatedAt":59},"startups","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fstartups",27,"Official AWS Startups repository that hosts plugins, skills, tools and resources to support startup builders on AWS",[],[160,161,162,165,166,169],{"slug":30,"name":31},{"slug":45,"name":46},{"slug":163,"name":164},"migration","Migration",{"slug":39,"name":40},{"slug":167,"name":168},"best-practices","Best Practices",{"slug":103,"name":104},{"name":171,"fullName":26,"repoUrl":172,"skillCount":27,"stars":173,"forks":174,"description":175,"topics":176,"topTags":177,"topTagCount":21,"lastUpdatedAt":192},"aidlc-workflows","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Faidlc-workflows",4261,754,"AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents",[],[178,179,182,183,186,189],{"slug":51,"name":52},{"slug":180,"name":181},"reporting","Reporting",{"slug":39,"name":40},{"slug":184,"name":185},"documentation","Documentation",{"slug":187,"name":188},"workflow","Workflow",{"slug":190,"name":191},"audit","Audit","2026-09-02T07:48:13.309948",{"name":131,"fullName":194,"repoUrl":195,"skillCount":196,"stars":197,"forks":198,"description":199,"topics":200,"topTags":208,"topTagCount":223,"lastUpdatedAt":224},"awslabs\u002Fmcp","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmcp",7,9645,1736,"Open source MCP Servers for AWS",[30,131,201,202,203,204,205,206,207],"mcp-client","mcp-clients","mcp-host","mcp-server","mcp-servers","mcp-tools","modelcontextprotocol",[209,210,213,216,219,220],{"slug":30,"name":31},{"slug":211,"name":212},"database","Database",{"slug":214,"name":215},"serverless","Serverless",{"slug":217,"name":218},"sql","SQL",{"slug":163,"name":164},{"slug":221,"name":222},"aurora","Aurora",10,"2026-09-02T07:20:51.53702",{"name":226,"fullName":227,"repoUrl":228,"skillCount":65,"stars":229,"forks":230,"description":231,"topics":232,"topTags":243,"topTagCount":256,"lastUpdatedAt":257},"agentcore-samples","awslabs\u002Fagentcore-samples","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples",3323,1310,"Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.",[233,234,39,235,236,237,238,239,240,241,242],"agent","agentic-ai","authentication","bedrock","core","gateway","identity-management","memory-management","production-code","runtime",[244,247,250,253,254,255],{"slug":245,"name":246},"finance","Finance",{"slug":248,"name":249},"analytics","Analytics",{"slug":251,"name":252},"accounting","Accounting",{"slug":180,"name":181},{"slug":51,"name":52},{"slug":30,"name":31},15,"2026-07-12T08:41:44.135656",{"name":259,"fullName":260,"repoUrl":261,"skillCount":65,"stars":262,"forks":263,"description":264,"topics":265,"topTags":266,"topTagCount":256,"lastUpdatedAt":281},"agentic-developer-platform","awslabs\u002Fagentic-developer-platform","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentic-developer-platform",1,0,null,[],[267,270,271,274,277,278],{"slug":268,"name":269},"security","Security",{"slug":190,"name":191},{"slug":272,"name":273},"code-analysis","Code Analysis",{"slug":275,"name":276},"compliance","Compliance",{"slug":57,"name":58},{"slug":279,"name":280},"threat-modeling","Threat Modeling","2026-08-07T05:03:41.222029",{"name":283,"fullName":284,"repoUrl":285,"skillCount":286,"stars":287,"forks":288,"description":289,"topics":290,"topTags":291,"topTagCount":304,"lastUpdatedAt":305},"amazon-documentdb-tools","awslabs\u002Famazon-documentdb-tools","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Famazon-documentdb-tools",3,157,86,"Tools for use with the Amazon DocumentDB managed document database service.",[],[292,293,294,297,300,301],{"slug":211,"name":212},{"slug":45,"name":46},{"slug":295,"name":296},"performance","Performance",{"slug":298,"name":299},"architecture","Architecture",{"slug":30,"name":31},{"slug":302,"name":303},"cost-optimization","Cost Optimization",9,"2026-08-07T05:03:40.486376",{"name":307,"fullName":308,"repoUrl":309,"skillCount":286,"stars":310,"forks":311,"description":312,"topics":313,"topTags":325,"topTagCount":304,"lastUpdatedAt":338},"awsome-distributed-ai","awslabs\u002Fawsome-distributed-ai","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fawsome-distributed-ai",472,206,"Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS. ",[30,314,315,316,317,318,319,320,321,322,323,324],"distributed-inference","distributed-training","efa","eks","generative-ai","gpu","hyperpod","kubernetes","parallelcluster","physical-ai","slurm",[326,327,330,333,334,335],{"slug":30,"name":31},{"slug":328,"name":329},"incident-response","Incident Response",{"slug":331,"name":332},"operations","Operations",{"slug":39,"name":40},{"slug":57,"name":58},{"slug":336,"name":337},"devops","DevOps","2026-09-02T07:47:39.537858",{"name":340,"fullName":341,"repoUrl":342,"skillCount":343,"stars":196,"forks":263,"description":344,"topics":345,"topTags":348,"topTagCount":356,"lastUpdatedAt":357},"codeknit","awslabs\u002Fcodeknit","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fcodeknit",2,"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",[272,107,346,347],"refactoring","static-analysis",[349,350,351,352,353],{"slug":272,"name":273},{"slug":45,"name":46},{"slug":298,"name":299},{"slug":57,"name":58},{"slug":354,"name":355},"git","Git",5,"2026-07-12T08:38:40.01893",{"name":359,"fullName":360,"repoUrl":361,"skillCount":262,"stars":362,"forks":363,"description":364,"topics":365,"topTags":370,"topTagCount":356,"lastUpdatedAt":378},"automated-security-helper","awslabs\u002Fautomated-security-helper","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fautomated-security-helper",680,88,"ASH is an extensible, open source SAST, SCA, and IaC security scanner orchestration engine.",[30,8,366,367,368,369,268],"iac","sast","sca","scanner",[371,372,373,374,375],{"slug":190,"name":191},{"slug":272,"name":273},{"slug":131,"name":141},{"slug":268,"name":269},{"slug":376,"name":377},"vulnerability","Vulnerability","2026-08-23T04:00:21.3187",{"name":380,"fullName":381,"repoUrl":382,"skillCount":262,"stars":383,"forks":151,"description":264,"topics":384,"topTags":388,"topTagCount":395,"lastUpdatedAt":396},"aws-cloudformation-iam-policy-validator","awslabs\u002Faws-cloudformation-iam-policy-validator","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Faws-cloudformation-iam-policy-validator",146,[30,385,386,387],"aws-iam","aws-iam-policies","cloudformation",[389,390,391,394],{"slug":30,"name":31},{"slug":275,"name":276},{"slug":392,"name":393},"infrastructure-as-code","Infrastructure as Code",{"slug":268,"name":269},4,"2026-07-12T08:37:13.052325",{"name":398,"fullName":399,"repoUrl":400,"skillCount":262,"stars":286,"forks":263,"description":264,"topics":401,"topTags":402,"topTagCount":395,"lastUpdatedAt":411},"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",[],[403,404,407,410],{"slug":30,"name":31},{"slug":405,"name":406},"data-engineering","Data Engineering",{"slug":408,"name":409},"data-pipeline","Data Pipeline",{"slug":295,"name":296},"2026-07-12T08:37:20.055112",{"name":413,"fullName":414,"repoUrl":415,"skillCount":262,"stars":416,"forks":417,"description":418,"topics":419,"topTags":431,"topTagCount":286,"lastUpdatedAt":437},"nx-plugin-for-aws","awslabs\u002Fnx-plugin-for-aws","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fnx-plugin-for-aws",95,32,"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.",[30,420,421,422,423,424,131,425,426,136,427,428,429,430],"aws-cdk","cloudfront","cloudscape","fastapi","lambda","nx","productivity","react","tanstack","trpc","typescript",[432,433,436],{"slug":30,"name":31},{"slug":434,"name":435},"cloud","Cloud",{"slug":392,"name":393},"2026-09-02T07:21:04.750044",{"name":439,"fullName":440,"repoUrl":441,"skillCount":262,"stars":442,"forks":443,"description":444,"topics":445,"topTags":453,"topTagCount":395,"lastUpdatedAt":458},"threat-designer","awslabs\u002Fthreat-designer","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fthreat-designer",283,50,"Threat Designer is a GenerativeAI application designed to automate and streamline the threat modeling process for secure system design.",[234,446,447,448,449,279,450,451,452],"appsec","cybersecurity","devsecops","generativeai","threat-modeling-tool","threatmodeling","threatmodelling",[454,455,456,457],{"slug":30,"name":31},{"slug":272,"name":273},{"slug":268,"name":269},{"slug":279,"name":280},"2026-07-12T08:37:14.772466",{"items":460,"total":286},[461,476,487],{"slug":462,"name":462,"fn":463,"description":464,"org":465,"tags":466,"stars":310,"repoUrl":309,"updatedAt":475},"hyperpod-devops-agent-solution","monitor SageMaker HyperPod infrastructure","How this Agent Space monitors SageMaker HyperPod — the design and intent of the HyperPod x DevOps Agent solution (event-driven webhook bridge, Lambda-gated periodic audit, triage\u002FRCA skills, email notifications). Read this to understand WHY a HyperPod investigation was created and what the monitoring pipeline does. For the concrete resource\u002Ftopology map (ARNs, IDs, log groups), see the understanding-agent-space skill instead.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[467,469,470,471,474],{"name":40,"slug":39,"type":468},"tag",{"name":31,"slug":30,"type":468},{"name":337,"slug":336,"type":468},{"name":472,"slug":473,"type":468},"Monitoring","monitoring",{"name":111,"slug":110,"type":468},"2026-09-02T07:47:35.452244",{"slug":477,"name":477,"fn":478,"description":479,"org":480,"tags":481,"stars":310,"repoUrl":309,"updatedAt":486},"hyperpod-incident-rca","perform root-cause analysis for HyperPod incidents","Root-cause analysis for a SageMaker HyperPod incident, after triage has decided to PROCEED. Runs at the INCIDENT_RCA stage. Reads describe-cluster, list-cluster-nodes, list-cluster-events, and HMA CloudWatch streams; reconstructs a timeline; classifies as Suppress \u002F Monitor \u002F Escalate \u002F Resolved against time budgets and recurrence statistics from the HyperPod mental model. Produces a human-readable verdict report with recommended operator actions. The complementary INCIDENT_TRIAGE skill `hyperpod-incident-triage` decides LINKED \u002F SKIPPED \u002F PROCEED before this skill runs.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[482,483,484,485],{"name":31,"slug":30,"type":468},{"name":58,"slug":57,"type":468},{"name":329,"slug":328,"type":468},{"name":332,"slug":331,"type":468},"2026-09-02T07:47:38.297082",{"slug":488,"name":488,"fn":489,"description":490,"org":491,"tags":492,"stars":310,"repoUrl":309,"updatedAt":338},"hyperpod-incident-triage","triage SageMaker HyperPod incidents","Correlation and skip rules for SageMaker HyperPod incident triage. Keeps distinct fault types on the same instance group as separate investigations (the default correlator merges them), and prevents periodic-audit re-investigation of an unchanged cluster. Applies at the Incident Triage stage before any investigation runs.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":8},[493,494,495,496],{"name":31,"slug":30,"type":468},{"name":329,"slug":328,"type":468},{"name":332,"slug":331,"type":468},{"name":497,"slug":498,"type":468},"Triage","triage"]