[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-aws-labs-elastic-beanstalk":3,"mdc--1e4vj5-key":39,"related-repo-aws-labs-elastic-beanstalk":965,"related-org-aws-labs-elastic-beanstalk":1070},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":23,"repoUrl":24,"updatedAt":25,"license":26,"forks":27,"topics":28,"repo":34,"sourceUrl":37,"mdContent":38},"elastic-beanstalk","deploy applications to AWS Elastic Beanstalk","Deploy to AWS Elastic Beanstalk. Triggers on: elastic beanstalk, EB, managed EC2 platform, web app with managed patching, worker on EC2, Heroku alternative, don't want to manage servers or container orchestration, migrate from Heroku, managed operational lifecycle. Covers Elastic Beanstalk on EC2 for web and worker applications.",{"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],{"name":14,"slug":15,"type":16},"Deployment","deployment","tag",{"name":18,"slug":19,"type":16},"Cloud","cloud",{"name":21,"slug":22,"type":16},"AWS","aws",831,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagent-plugins","2026-07-12T08:37:09.102311",null,127,[29,30,31,22,32,33],"agent-plugins","agent-skills","agents","coding-agent-skills","coding-agents",{"repoUrl":24,"stars":23,"forks":27,"topics":35,"description":36},[29,30,31,22,32,33],"Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.","https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagent-plugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fdeploy-on-aws\u002Fskills\u002Felastic-beanstalk","---\nname: elastic-beanstalk\ndescription: \"Deploy to AWS Elastic Beanstalk. Triggers on: elastic beanstalk, EB, managed EC2 platform, web app with managed patching, worker on EC2, Heroku alternative, don't want to manage servers or container orchestration, migrate from Heroku, managed operational lifecycle. Covers Elastic Beanstalk on EC2 for web and worker applications.\"\n---\n\n# Elastic Beanstalk\n\nDeploy web and worker applications to production on AWS with full lifecycle\nmanagement. Elastic Beanstalk is an application management service: the user\nprovides application code, AWS manages everything underneath (deployment, scaling,\npatching, monitoring, health response).\n\n## When to Use\n\nElastic Beanstalk is the right choice when:\n\n- User explicitly asks for Elastic Beanstalk, EB, or a managed application platform\n- User says \"don't want to manage servers\", \"managed patching\", or \"Heroku-like\"\n- User is migrating from Heroku, Render, or Railway\n- User wants AWS to manage ongoing operational lifecycle (patching, scaling,\n  health monitoring, rollback, deployments) after initial setup\n- App is a web framework, API, or background worker on a standard runtime and\n  the user signals low infrastructure involvement\n\nElastic Beanstalk is NOT the right choice when:\n\n- User explicitly wants serverless\u002FLambda — this imposes a different programming\n  model (event-driven functions, stateless, cold starts, 15-min max execution)\n  rather than just eliminating server management\n- User wants fine-grained container orchestration control (use ECS)\n- User already has Kubernetes expertise and wants direct K8s access (use EKS)\n- App is a static site or SPA (use Amplify Hosting for the frontend; deploy the\n  backend API separately if present)\n- User already has ECS task definitions or Fargate configuration\n\n## Key Distinction\n\nECS and EKS are infrastructure management services: the user defines and\noperates the deployment infrastructure (task definitions, services, clusters,\nscaling policies) and owns ongoing operational decisions. Elastic Beanstalk is\nan application management service: the user provides source code or a Docker\nimage, and AWS provisions and operates the production environment on an ongoing\nbasis. The result is the same reliability, but with lower ongoing maintenance\ncost because operational responsibility stays with the provider.\n\nBoth models support IaC (CDK, CloudFormation, Terraform). The distinction is not\nabout tooling — it is about who manages the lifecycle after deployment.\n\nLambda\u002Fserverless is a different axis entirely. \"Don't want to manage servers\"\ndoes not mean \"wants serverless\" — Elastic Beanstalk also eliminates server\nmanagement while preserving the standard application programming model\n(long-running processes, persistent connections, threads, local state).\nServerless imposes a specific programming model: stateless functions, cold\nstarts, event-driven invocation, and a 15-minute execution ceiling. Route to\nLambda only when the user explicitly asks for serverless or the workload is\nnatively event-driven (e.g., S3 triggers, API Gateway request\u002Fresponse with\nno session state).\n\n## Workflow\n\nThis skill is invoked after the deploy skill selects Elastic Beanstalk as the\ndeployment target. The deploy skill handles codebase analysis and cost estimation.\nThis skill handles EB-specific configuration:\n\n1. **Map to platform** - Select the EB platform branch (see [platforms](references\u002Fplatforms.md))\n2. **Configure** - Environment type (web server or worker), instance size, scaling\n3. **Generate** - AWS CLI commands, CDK, or Terraform (see IaC section below)\n4. **Deploy** - Execute with user confirmation\n\n## Defaults\n\n| Setting                   | Dev                               | Production                        |\n| ------------------------- | --------------------------------- | --------------------------------- |\n| Environment type (web)    | Load-balanced (min=1, max=1)      | Load-balanced, Multi-AZ           |\n| Environment type (worker) | Auto Scaling group (min=1, max=1) | Auto Scaling group (min=2, max=4) |\n| Instance                  | t3.small                          | t3.medium or larger               |\n| Deployments               | All-at-once                       | Rolling with additional batch     |\n| Health reporting          | Enhanced                          | Enhanced                          |\n| Managed updates           | Enabled (weekly)                  | Enabled (maintenance window)      |\n| HTTPS (web only)          | ACM certificate + ALB             | ACM certificate + ALB             |\n\nDefault to **dev** unless user says \"production\" or \"prod\".\n\nAlways use load-balanced environments for web server types. This ensures\ninstances stay in private subnets behind an ALB, HTTPS terminates via ACM\nautomatically, and scaling up later is a config change rather than an environment\ntype migration. Dev deployments with min=max=1 cause brief downtime on deploy\n(single instance, all-at-once). If zero-downtime dev is needed, use min=1 max=2\nwith rolling.\n\nWorker environments do not have load balancers — they receive work from SQS and\nare scaled via Auto Scaling group settings.\n\n## Environment Types\n\n| Signal in Codebase                                    | Environment Type                         |\n| ----------------------------------------------------- | ---------------------------------------- |\n| HTTP listener, web framework, API routes              | Web server                               |\n| Queue-based consumer, SQS processing, no HTTP serving | Worker                                   |\n| HTTP serving + queue-based background processing      | Web server + separate Worker environment |\n\nWorker environments receive work via an SQS queue managed by Elastic Beanstalk.\nEB's SQS daemon sends HTTP POST requests to the application at a configurable\npath (default: `POST \u002F`). The application must expose this HTTP endpoint to\nprocess each message — no SQS SDK integration required.\n\nWorker environments also support periodic tasks via `cron.yaml` for scheduled\njobs (alternative to EventBridge + Lambda when the user is already using EB).\n\nIf the app uses in-process background threads or async tasks (not queue-based),\na single web server environment is sufficient — do not create a separate Worker.\n\n## IaC Generation\n\n**Default: AWS CLI** — no extra tooling to install. The agent orchestrates\nthe multi-step workflow:\n\n1. `aws elasticbeanstalk create-storage-location` → returns the S3 bucket\n   (idempotent — returns existing bucket if already created)\n2. `aws elasticbeanstalk create-application`\n3. Zip source bundle, upload to the bucket from step 1\n4. `aws elasticbeanstalk create-application-version`\n5. `aws elasticbeanstalk create-environment` with `--option-settings` (web:\n   `--tier Name=WebServer,Type=Standard`, worker: `--tier Name=Worker,Type=SQS\u002FHTTP`)\n6. `aws elasticbeanstalk wait environment-updated`\n7. Subsequent deploys: new version + `update-environment`\n\nResolve the `--solution-stack-name` by running\n`aws elasticbeanstalk list-available-solution-stacks` and filtering for the\ndetected platform (e.g., \".NET\" + \"Amazon Linux 2023\"). Alternatively, use\n`--platform-arn` from `aws elasticbeanstalk list-platform-versions`.\n\nUse `.ebextensions\u002F` and platform hooks for customization.\n\nSee [AWS CLI EB reference](https:\u002F\u002Fdocs.aws.amazon.com\u002Fcli\u002Flatest\u002Freference\u002Felasticbeanstalk\u002F)\nfor full command documentation.\n\n**Override: CDK (TypeScript)** when the user has an existing CDK project, wants\nrepeatable IaC, or explicitly requests it:\n\n- `CfnApplication`, `CfnEnvironment`, `CfnConfigurationTemplate`\n\n**Override: Terraform** when the user's repo already has Terraform:\n\n- `aws_elastic_beanstalk_application`, `aws_elastic_beanstalk_environment`\n\nCDK and Terraform templates are scannable by `cfn-nag`\u002F`checkov` pre-deploy.\n\n## Security\n\nApply these automatically:\n\n- Web server instances in private subnets behind ALB\n- Worker instances in private subnets with NAT Gateway for outbound\n- HTTPS via ACM certificate on ALB (web server environments)\n- IAM instance profile with least-privilege permissions — scan source code for\n  AWS SDK client usage to determine required actions (e.g.,\n  `AmazonBedrockRuntimeClient` → `bedrock:InvokeModel`,\n  `AmazonS3Client` → `s3:GetObject`\u002F`s3:PutObject` on specific buckets)\n- Enhanced health reporting enabled\n- Managed platform updates enabled\n- Security groups: ALB accepts 443, instances accept only from ALB\n\nSee the deploy skill's [security defaults](..\u002Fdeploy\u002Freferences\u002Fsecurity.md)\nfor encryption, VPC placement, and IAM patterns.\n\n## Cost\n\nElastic Beanstalk has no service fee. Cost = underlying AWS resources.\nQuery the awspricing MCP server for region-accurate estimates. Approximate\nus-east-1 pricing:\n\n| Configuration                                 | Estimated Monthly Cost |\n| --------------------------------------------- | ---------------------- |\n| Dev web (1x t3.small + ALB)                   | ~$35-40                |\n| Dev worker (1x t3.small, no ALB)              | ~$15-20                |\n| Production web (4x t3.medium + ALB, Multi-AZ) | ~$150-200              |\n\nAdd RDS\u002FAurora costs separately if database is included.\n\n## References\n\n- [Supported platforms and detection](references\u002Fplatforms.md)\n- [Configuration and customization](references\u002Fconfiguration.md)\n",{"data":40,"body":41},{"name":4,"description":6},{"type":42,"children":43},"root",[44,52,58,65,70,100,105,133,139,144,149,154,160,165,219,225,382,394,399,404,410,471,485,498,503,509,519,610,647,660,675,685,712,722,741,762,768,773,849,862,868,873,934,939,945],{"type":45,"tag":46,"props":47,"children":48},"element","h1",{"id":4},[49],{"type":50,"value":51},"text","Elastic Beanstalk",{"type":45,"tag":53,"props":54,"children":55},"p",{},[56],{"type":50,"value":57},"Deploy web and worker applications to production on AWS with full lifecycle\nmanagement. 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The distinction is not\nabout tooling — it is about who manages the lifecycle after deployment.",{"type":45,"tag":53,"props":150,"children":151},{},[152],{"type":50,"value":153},"Lambda\u002Fserverless is a different axis entirely. \"Don't want to manage servers\"\ndoes not mean \"wants serverless\" — Elastic Beanstalk also eliminates server\nmanagement while preserving the standard application programming model\n(long-running processes, persistent connections, threads, local state).\nServerless imposes a specific programming model: stateless functions, cold\nstarts, event-driven invocation, and a 15-minute execution ceiling. Route to\nLambda only when the user explicitly asks for serverless or the workload is\nnatively event-driven (e.g., S3 triggers, API Gateway request\u002Fresponse with\nno session state).",{"type":45,"tag":59,"props":155,"children":157},{"id":156},"workflow",[158],{"type":50,"value":159},"Workflow",{"type":45,"tag":53,"props":161,"children":162},{},[163],{"type":50,"value":164},"This skill is invoked after the deploy skill selects Elastic Beanstalk as the\ndeployment target. 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The agent orchestrates\nthe multi-step workflow:",{"type":45,"tag":166,"props":520,"children":521},{},[522,533,542,547,556,590,599],{"type":45,"tag":75,"props":523,"children":524},{},[525,531],{"type":45,"tag":477,"props":526,"children":528},{"className":527},[],[529],{"type":50,"value":530},"aws elasticbeanstalk create-storage-location",{"type":50,"value":532}," → returns the S3 bucket\n(idempotent — returns existing bucket if already created)",{"type":45,"tag":75,"props":534,"children":535},{},[536],{"type":45,"tag":477,"props":537,"children":539},{"className":538},[],[540],{"type":50,"value":541},"aws elasticbeanstalk create-application",{"type":45,"tag":75,"props":543,"children":544},{},[545],{"type":50,"value":546},"Zip source bundle, upload to the bucket from step 1",{"type":45,"tag":75,"props":548,"children":549},{},[550],{"type":45,"tag":477,"props":551,"children":553},{"className":552},[],[554],{"type":50,"value":555},"aws elasticbeanstalk create-application-version",{"type":45,"tag":75,"props":557,"children":558},{},[559,565,567,573,575,581,583,589],{"type":45,"tag":477,"props":560,"children":562},{"className":561},[],[563],{"type":50,"value":564},"aws elasticbeanstalk create-environment",{"type":50,"value":566}," with ",{"type":45,"tag":477,"props":568,"children":570},{"className":569},[],[571],{"type":50,"value":572},"--option-settings",{"type":50,"value":574}," (web:\n",{"type":45,"tag":477,"props":576,"children":578},{"className":577},[],[579],{"type":50,"value":580},"--tier Name=WebServer,Type=Standard",{"type":50,"value":582},", worker: ",{"type":45,"tag":477,"props":584,"children":586},{"className":585},[],[587],{"type":50,"value":588},"--tier Name=Worker,Type=SQS\u002FHTTP",{"type":50,"value":188},{"type":45,"tag":75,"props":591,"children":592},{},[593],{"type":45,"tag":477,"props":594,"children":596},{"className":595},[],[597],{"type":50,"value":598},"aws elasticbeanstalk wait environment-updated",{"type":45,"tag":75,"props":600,"children":601},{},[602,604],{"type":50,"value":603},"Subsequent deploys: new version + ",{"type":45,"tag":477,"props":605,"children":607},{"className":606},[],[608],{"type":50,"value":609},"update-environment",{"type":45,"tag":53,"props":611,"children":612},{},[613,615,621,623,629,631,637,639,645],{"type":50,"value":614},"Resolve the ",{"type":45,"tag":477,"props":616,"children":618},{"className":617},[],[619],{"type":50,"value":620},"--solution-stack-name",{"type":50,"value":622}," by running\n",{"type":45,"tag":477,"props":624,"children":626},{"className":625},[],[627],{"type":50,"value":628},"aws elasticbeanstalk list-available-solution-stacks",{"type":50,"value":630}," and filtering for the\ndetected platform (e.g., \".NET\" + \"Amazon Linux 2023\"). Alternatively, use\n",{"type":45,"tag":477,"props":632,"children":634},{"className":633},[],[635],{"type":50,"value":636},"--platform-arn",{"type":50,"value":638}," from ",{"type":45,"tag":477,"props":640,"children":642},{"className":641},[],[643],{"type":50,"value":644},"aws elasticbeanstalk list-platform-versions",{"type":50,"value":646},".",{"type":45,"tag":53,"props":648,"children":649},{},[650,652,658],{"type":50,"value":651},"Use ",{"type":45,"tag":477,"props":653,"children":655},{"className":654},[],[656],{"type":50,"value":657},".ebextensions\u002F",{"type":50,"value":659}," and platform hooks for customization.",{"type":45,"tag":53,"props":661,"children":662},{},[663,665,673],{"type":50,"value":664},"See ",{"type":45,"tag":181,"props":666,"children":670},{"href":667,"rel":668},"https:\u002F\u002Fdocs.aws.amazon.com\u002Fcli\u002Flatest\u002Freference\u002Felasticbeanstalk\u002F",[669],"nofollow",[671],{"type":50,"value":672},"AWS CLI EB 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(e.g.,\n",{"type":45,"tag":477,"props":797,"children":799},{"className":798},[],[800],{"type":50,"value":801},"AmazonBedrockRuntimeClient",{"type":50,"value":803}," → ",{"type":45,"tag":477,"props":805,"children":807},{"className":806},[],[808],{"type":50,"value":809},"bedrock:InvokeModel",{"type":50,"value":811},",\n",{"type":45,"tag":477,"props":813,"children":815},{"className":814},[],[816],{"type":50,"value":817},"AmazonS3Client",{"type":50,"value":803},{"type":45,"tag":477,"props":820,"children":822},{"className":821},[],[823],{"type":50,"value":824},"s3:GetObject",{"type":50,"value":753},{"type":45,"tag":477,"props":827,"children":829},{"className":828},[],[830],{"type":50,"value":831},"s3:PutObject",{"type":50,"value":833}," on specific buckets)",{"type":45,"tag":75,"props":835,"children":836},{},[837],{"type":50,"value":838},"Enhanced health reporting enabled",{"type":45,"tag":75,"props":840,"children":841},{},[842],{"type":50,"value":843},"Managed platform updates 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Cost = underlying AWS resources.\nQuery the awspricing MCP server for region-accurate estimates. Approximate\nus-east-1 pricing:",{"type":45,"tag":226,"props":874,"children":875},{},[876,892],{"type":45,"tag":230,"props":877,"children":878},{},[879],{"type":45,"tag":234,"props":880,"children":881},{},[882,887],{"type":45,"tag":238,"props":883,"children":884},{},[885],{"type":50,"value":886},"Configuration",{"type":45,"tag":238,"props":888,"children":889},{},[890],{"type":50,"value":891},"Estimated Monthly Cost",{"type":45,"tag":254,"props":893,"children":894},{},[895,908,921],{"type":45,"tag":234,"props":896,"children":897},{},[898,903],{"type":45,"tag":261,"props":899,"children":900},{},[901],{"type":50,"value":902},"Dev web (1x t3.small + ALB)",{"type":45,"tag":261,"props":904,"children":905},{},[906],{"type":50,"value":907},"~$35-40",{"type":45,"tag":234,"props":909,"children":910},{},[911,916],{"type":45,"tag":261,"props":912,"children":913},{},[914],{"type":50,"value":915},"Dev worker (1x t3.small, no ALB)",{"type":45,"tag":261,"props":917,"children":918},{},[919],{"type":50,"value":920},"~$15-20",{"type":45,"tag":234,"props":922,"children":923},{},[924,929],{"type":45,"tag":261,"props":925,"children":926},{},[927],{"type":50,"value":928},"Production web (4x t3.medium + ALB, Multi-AZ)",{"type":45,"tag":261,"props":930,"children":931},{},[932],{"type":50,"value":933},"~$150-200",{"type":45,"tag":53,"props":935,"children":936},{},[937],{"type":50,"value":938},"Add RDS\u002FAurora costs separately if database is included.",{"type":45,"tag":59,"props":940,"children":942},{"id":941},"references",[943],{"type":50,"value":944},"References",{"type":45,"tag":71,"props":946,"children":947},{},[948,956],{"type":45,"tag":75,"props":949,"children":950},{},[951],{"type":45,"tag":181,"props":952,"children":953},{"href":183},[954],{"type":50,"value":955},"Supported platforms and detection",{"type":45,"tag":75,"props":957,"children":958},{},[959],{"type":45,"tag":181,"props":960,"children":962},{"href":961},"references\u002Fconfiguration.md",[963],{"type":50,"value":964},"Configuration and customization",{"items":966,"total":1069},[967,984,1002,1014,1031,1044,1054],{"slug":968,"name":968,"fn":969,"description":970,"org":971,"tags":972,"stars":23,"repoUrl":24,"updatedAt":983},"amazon-location-service","integrate Amazon Location Service maps","Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service capabilities.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[973,976,977,980],{"name":974,"slug":975,"type":16},"API Development","api-development",{"name":21,"slug":22,"type":16},{"name":978,"slug":979,"type":16},"Maps","maps",{"name":981,"slug":982,"type":16},"Navigation","navigation","2026-07-12T08:39:49.88311",{"slug":985,"name":985,"fn":986,"description":987,"org":988,"tags":989,"stars":23,"repoUrl":24,"updatedAt":1001},"amplify-workflow","build and deploy apps with AWS Amplify","Build and deploy full-stack web and mobile apps with AWS Amplify Gen2 (TypeScript code-first). Covers auth (Cognito), data (AppSync\u002FDynamoDB including schema modeling, enum types, relationships, authorization rules), storage (S3), functions, APIs, and AI (Amplify AI Kit with Bedrock). Supports React, Next.js, Vue, Angular, React Native, Flutter, Swift, and Android. Always use this skill for Amplify Gen2 topics — even for questions you think you know — it contains validated, version-specific patterns that prevent common mistakes. TRIGGER when: user mentions Amplify Gen2; project has amplify\u002F directory or amplify_outputs; code imports @aws-amplify packages; user asks about defineBackend, defineAuth, defineData, defineStorage, or npx ampx. SKIP: Amplify Gen1 (amplify CLI v6), standalone SAM\u002FCDK without Amplify (use aws-serverless), direct Bedrock without Amplify AI Kit (use bedrock).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[990,993,994,997,998],{"name":991,"slug":992,"type":16},"Auth","auth",{"name":21,"slug":22,"type":16},{"name":995,"slug":996,"type":16},"Database","database",{"name":14,"slug":15,"type":16},{"name":999,"slug":1000,"type":16},"TypeScript","typescript","2026-07-12T08:39:43.500162",{"slug":1003,"name":1003,"fn":1004,"description":1005,"org":1006,"tags":1007,"stars":23,"repoUrl":24,"updatedAt":1013},"api-gateway","build and manage Amazon API Gateway APIs","Build, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST API, HTTP API, WebSocket API, custom domain, Lambda authorizer, usage plan, throttling, CORS, VPC link, private API. Also covers troubleshooting API Gateway errors (4xx, 5xx, timeout, CORS failures) and IaC templates containing API Gateway resources. For general REST API design unrelated to AWS, do not trigger.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1008,1009,1010],{"name":974,"slug":975,"type":16},{"name":21,"slug":22,"type":16},{"name":1011,"slug":1012,"type":16},"REST API","rest-api","2026-07-12T08:39:00.149339",{"slug":1015,"name":1015,"fn":1016,"description":1017,"org":1018,"tags":1019,"stars":23,"repoUrl":24,"updatedAt":1030},"aws-architecture-diagram","generate AWS architecture diagrams","Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries. Use this skill whenever the user wants to create, generate, or design AWS architecture diagrams, cloud infrastructure diagrams, or system design visuals. Also triggers for requests to visualize existing infrastructure from CloudFormation, CDK, or Terraform code. Supports two modes: analyze an existing codebase to auto-generate diagrams, or brainstorm interactively from scratch. Exports .drawio files with optional PNG\u002FSVG\u002FPDF export via draw.io desktop CLI.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1020,1023,1024,1027],{"name":1021,"slug":1022,"type":16},"Architecture","architecture",{"name":21,"slug":22,"type":16},{"name":1025,"slug":1026,"type":16},"Design","design",{"name":1028,"slug":1029,"type":16},"Diagrams","diagrams","2026-07-12T08:37:11.012278",{"slug":1032,"name":1032,"fn":1033,"description":1034,"org":1035,"tags":1036,"stars":23,"repoUrl":24,"updatedAt":1043},"aws-lambda","build and deploy AWS Lambda functions","Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to AWS, use deploy-on-aws plugin instead.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1037,1038,1039,1040],{"name":974,"slug":975,"type":16},{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},{"name":1041,"slug":1042,"type":16},"Serverless","serverless","2026-07-12T08:38:58.598492",{"slug":1045,"name":1045,"fn":1046,"description":1047,"org":1048,"tags":1049,"stars":23,"repoUrl":24,"updatedAt":1053},"aws-lambda-durable-functions","build resilient AWS Lambda durable functions","Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait\u002Fcallback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like: lambda durable functions, workflow orchestration, state machines, retry\u002Fcheckpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, and reliable serverless applications.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1050,1051,1052],{"name":1021,"slug":1022,"type":16},{"name":21,"slug":22,"type":16},{"name":1041,"slug":1042,"type":16},"2026-07-12T08:39:05.546173",{"slug":1055,"name":1055,"fn":1056,"description":1057,"org":1058,"tags":1059,"stars":23,"repoUrl":24,"updatedAt":1068},"aws-lambda-managed-instances","configure AWS Lambda Managed Instances","Evaluate, configure, and migrate workloads to AWS Lambda Managed Instances (LMI). Triggers on: Lambda Managed Instances, LMI, capacity provider, multi-concurrency Lambda, dedicated instance Lambda, EC2-backed Lambda, cold start elimination, Graviton Lambda, instance type for Lambda, scheduled scaling for LMI, Lambda cost optimization with Reserved Instances or Savings Plans. Also trigger when users describe high-volume predictable workloads seeking cost savings, want to scale LMI capacity on a schedule, or compare Lambda vs EC2 for steady-state traffic. For standard Lambda without LMI, use the aws-lambda skill instead.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1060,1061,1062,1065],{"name":21,"slug":22,"type":16},{"name":14,"slug":15,"type":16},{"name":1063,"slug":1064,"type":16},"Infrastructure","infrastructure",{"name":1066,"slug":1067,"type":16},"Performance","performance","2026-07-12T08:39:07.007071",33,{"items":1071,"total":1245},[1072,1091,1108,1118,1131,1144,1154,1164,1185,1200,1215,1230],{"slug":1073,"name":1073,"fn":1074,"description":1075,"org":1076,"tags":1077,"stars":1088,"repoUrl":1089,"updatedAt":1090},"agentcore-investigation","investigate Bedrock AgentCore runtime sessions","Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session\u002Ftrace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1078,1079,1082,1085],{"name":21,"slug":22,"type":16},{"name":1080,"slug":1081,"type":16},"Debugging","debugging",{"name":1083,"slug":1084,"type":16},"Logs","logs",{"name":1086,"slug":1087,"type":16},"Observability","observability",9427,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fmcp","2026-07-12T08:37:22.601527",{"slug":1092,"name":1093,"fn":1094,"description":1095,"org":1096,"tags":1097,"stars":1088,"repoUrl":1089,"updatedAt":1107},"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},[1098,1101,1102,1103,1104],{"name":1099,"slug":1100,"type":16},"Aurora","aurora",{"name":21,"slug":22,"type":16},{"name":995,"slug":996,"type":16},{"name":1041,"slug":1042,"type":16},{"name":1105,"slug":1106,"type":16},"SQL","sql","2026-07-12T08:36:45.053393",{"slug":1109,"name":1110,"fn":1094,"description":1095,"org":1111,"tags":1112,"stars":1088,"repoUrl":1089,"updatedAt":1117},"aurora-dsql","aurora dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1113,1114,1115,1116],{"name":21,"slug":22,"type":16},{"name":995,"slug":996,"type":16},{"name":1041,"slug":1042,"type":16},{"name":1105,"slug":1106,"type":16},"2026-07-12T08:36:42.694299",{"slug":1119,"name":1120,"fn":1094,"description":1095,"org":1121,"tags":1122,"stars":1088,"repoUrl":1089,"updatedAt":1130},"aws-dsql","aws dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1123,1124,1125,1128,1129],{"name":21,"slug":22,"type":16},{"name":995,"slug":996,"type":16},{"name":1126,"slug":1127,"type":16},"Migration","migration",{"name":1041,"slug":1042,"type":16},{"name":1105,"slug":1106,"type":16},"2026-07-12T08:36:38.584057",{"slug":1132,"name":1133,"fn":1094,"description":1095,"org":1134,"tags":1135,"stars":1088,"repoUrl":1089,"updatedAt":1143},"distributed-postgres","distributed postgres",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1136,1137,1138,1141,1142],{"name":21,"slug":22,"type":16},{"name":995,"slug":996,"type":16},{"name":1139,"slug":1140,"type":16},"PostgreSQL","postgresql",{"name":1041,"slug":1042,"type":16},{"name":1105,"slug":1106,"type":16},"2026-07-12T08:36:46.530743",{"slug":1145,"name":1146,"fn":1094,"description":1095,"org":1147,"tags":1148,"stars":1088,"repoUrl":1089,"updatedAt":1153},"distributed-sql","distributed sql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1149,1150,1151,1152],{"name":21,"slug":22,"type":16},{"name":995,"slug":996,"type":16},{"name":1041,"slug":1042,"type":16},{"name":1105,"slug":1106,"type":16},"2026-07-12T08:36:48.104182",{"slug":1155,"name":1155,"fn":1094,"description":1095,"org":1156,"tags":1157,"stars":1088,"repoUrl":1089,"updatedAt":1163},"dsql",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[1158,1159,1160,1161,1162],{"name":21,"slug":22,"type":16},{"name":995,"slug":996,"type":16},{"name":1126,"slug":1127,"type":16},{"name":1041,"slug":1042,"type":16},{"name":1105,"slug":1106,"type":16},"2026-07-12T08:36:36.374512",{"slug":1165,"name":1165,"fn":1166,"description":1167,"org":1168,"tags":1169,"stars":1182,"repoUrl":1183,"updatedAt":1184},"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},[1170,1173,1176,1179],{"name":1171,"slug":1172,"type":16},"Accounting","accounting",{"name":1174,"slug":1175,"type":16},"Analytics","analytics",{"name":1177,"slug":1178,"type":16},"Cost Optimization","cost-optimization",{"name":1180,"slug":1181,"type":16},"Finance","finance",3176,"https:\u002F\u002Fgithub.com\u002Fawslabs\u002Fagentcore-samples","2026-07-12T08:40:03.29555",{"slug":1186,"name":1186,"fn":1187,"description":1188,"org":1189,"tags":1190,"stars":1182,"repoUrl":1183,"updatedAt":1199},"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},[1191,1192,1193,1196],{"name":21,"slug":22,"type":16},{"name":1180,"slug":1181,"type":16},{"name":1194,"slug":1195,"type":16},"Management","management",{"name":1197,"slug":1198,"type":16},"Reporting","reporting","2026-07-12T08:40:02.066471",{"slug":1201,"name":1201,"fn":1202,"description":1203,"org":1204,"tags":1205,"stars":1182,"repoUrl":1183,"updatedAt":1214},"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},[1206,1207,1208,1211],{"name":1174,"slug":1175,"type":16},{"name":1180,"slug":1181,"type":16},{"name":1209,"slug":1210,"type":16},"Financial Statements","financial-statements",{"name":1212,"slug":1213,"type":16},"Variance Analysis","variance-analysis","2026-07-12T08:40:00.79141",{"slug":1216,"name":1216,"fn":1217,"description":1218,"org":1219,"tags":1220,"stars":1182,"repoUrl":1183,"updatedAt":1229},"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},[1221,1224,1227],{"name":1222,"slug":1223,"type":16},"Automation","automation",{"name":1225,"slug":1226,"type":16},"Documents","documents",{"name":1228,"slug":1216,"type":16},"PDF","2026-07-12T08:41:44.135656",{"slug":1231,"name":1231,"fn":1232,"description":1233,"org":1234,"tags":1235,"stars":1182,"repoUrl":1183,"updatedAt":1244},"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},[1236,1237,1240,1241],{"name":1171,"slug":1172,"type":16},{"name":1238,"slug":1239,"type":16},"Data Analysis","data-analysis",{"name":1180,"slug":1181,"type":16},{"name":1242,"slug":1243,"type":16},"KPI","kpi","2026-07-12T08:39:59.54971",150]