{ "schemaVersion": "1.0", "item": { "slug": "aws-solution-architect", "name": "Aws Solution Architect", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/alirezarezvani/aws-solution-architect", "canonicalUrl": "https://clawhub.ai/alirezarezvani/aws-solution-architect", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/aws-solution-architect", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=aws-solution-architect", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "assets/expected_output.json", "assets/sample_input.json", "references/architecture_patterns.md", "references/best_practices.md", "references/service_selection.md" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. 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Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "AWS Solution Architect", "body": "Design scalable, cost-effective AWS architectures for startups with infrastructure-as-code templates." }, { "title": "Step 1: Gather Requirements", "body": "Collect application specifications:\n\n- Application type (web app, mobile backend, data pipeline, SaaS)\n- Expected users and requests per second\n- Budget constraints (monthly spend limit)\n- Team size and AWS experience level\n- Compliance requirements (GDPR, HIPAA, SOC 2)\n- Availability requirements (SLA, RPO/RTO)" }, { "title": "Step 2: Design Architecture", "body": "Run the architecture designer to get pattern recommendations:\n\npython scripts/architecture_designer.py --input requirements.json\n\nExample output:\n\n{\n \"recommended_pattern\": \"serverless_web\",\n \"service_stack\": [\"S3\", \"CloudFront\", \"API Gateway\", \"Lambda\", \"DynamoDB\", \"Cognito\"],\n \"estimated_monthly_cost_usd\": 35,\n \"pros\": [\"Low ops overhead\", \"Pay-per-use\", \"Auto-scaling\"],\n \"cons\": [\"Cold starts\", \"15-min Lambda limit\", \"Eventual consistency\"]\n}\n\nSelect from recommended patterns:\n\nServerless Web: S3 + CloudFront + API Gateway + Lambda + DynamoDB\nEvent-Driven Microservices: EventBridge + Lambda + SQS + Step Functions\nThree-Tier: ALB + ECS Fargate + Aurora + ElastiCache\nGraphQL Backend: AppSync + Lambda + DynamoDB + Cognito\n\nSee references/architecture_patterns.md for detailed pattern specifications.\n\nValidation checkpoint: Confirm the recommended pattern matches the team's operational maturity and compliance requirements before proceeding to Step 3." }, { "title": "Step 3: Generate IaC Templates", "body": "Create infrastructure-as-code for the selected pattern:\n\n# Serverless stack (CloudFormation)\npython scripts/serverless_stack.py --app-name my-app --region us-east-1\n\nExample CloudFormation YAML output (core serverless resources):\n\nAWSTemplateFormatVersion: '2010-09-09'\nTransform: AWS::Serverless-2016-10-31\n\nParameters:\n AppName:\n Type: String\n Default: my-app\n\nResources:\n ApiFunction:\n Type: AWS::Serverless::Function\n Properties:\n Handler: index.handler\n Runtime: nodejs20.x\n MemorySize: 512\n Timeout: 30\n Environment:\n Variables:\n TABLE_NAME: !Ref DataTable\n Policies:\n - DynamoDBCrudPolicy:\n TableName: !Ref DataTable\n Events:\n ApiEvent:\n Type: Api\n Properties:\n Path: /{proxy+}\n Method: ANY\n\n DataTable:\n Type: AWS::DynamoDB::Table\n Properties:\n BillingMode: PAY_PER_REQUEST\n AttributeDefinitions:\n - AttributeName: pk\n AttributeType: S\n - AttributeName: sk\n AttributeType: S\n KeySchema:\n - AttributeName: pk\n KeyType: HASH\n - AttributeName: sk\n KeyType: RANGE\n\nFull templates including API Gateway, Cognito, IAM roles, and CloudWatch logging are generated by serverless_stack.py and also available in references/architecture_patterns.md.\n\nExample CDK TypeScript snippet (three-tier pattern):\n\nimport * as ecs from 'aws-cdk-lib/aws-ecs';\nimport * as ec2 from 'aws-cdk-lib/aws-ec2';\nimport * as rds from 'aws-cdk-lib/aws-rds';\n\nconst vpc = new ec2.Vpc(this, 'AppVpc', { maxAzs: 2 });\n\nconst cluster = new ecs.Cluster(this, 'AppCluster', { vpc });\n\nconst db = new rds.ServerlessCluster(this, 'AppDb', {\n engine: rds.DatabaseClusterEngine.auroraPostgres({\n version: rds.AuroraPostgresEngineVersion.VER_15_2,\n }),\n vpc,\n scaling: { minCapacity: 0.5, maxCapacity: 4 },\n});" }, { "title": "Step 4: Review Costs", "body": "Analyze estimated costs and optimization opportunities:\n\npython scripts/cost_optimizer.py --resources current_setup.json --monthly-spend 2000\n\nExample output:\n\n{\n \"current_monthly_usd\": 2000,\n \"recommendations\": [\n { \"action\": \"Right-size RDS db.r5.2xlarge → db.r5.large\", \"savings_usd\": 420, \"priority\": \"high\" },\n { \"action\": \"Purchase 1-yr Compute Savings Plan at 40% utilization\", \"savings_usd\": 310, \"priority\": \"high\" },\n { \"action\": \"Move S3 objects >90 days to Glacier Instant Retrieval\", \"savings_usd\": 85, \"priority\": \"medium\" }\n ],\n \"total_potential_savings_usd\": 815\n}\n\nOutput includes:\n\nMonthly cost breakdown by service\nRight-sizing recommendations\nSavings Plans opportunities\nPotential monthly savings" }, { "title": "Step 5: Deploy", "body": "Deploy the generated infrastructure:\n\n# CloudFormation\naws cloudformation create-stack \\\n --stack-name my-app-stack \\\n --template-body file://template.yaml \\\n --capabilities CAPABILITY_IAM\n\n# CDK\ncdk deploy\n\n# Terraform\nterraform init && terraform apply" }, { "title": "Step 6: Validate and Handle Failures", "body": "Verify deployment and set up monitoring:\n\n# Check stack status\naws cloudformation describe-stacks --stack-name my-app-stack\n\n# Set up CloudWatch alarms\naws cloudwatch put-metric-alarm --alarm-name high-errors ...\n\nIf stack creation fails:\n\nCheck the failure reason:\naws cloudformation describe-stack-events \\\n --stack-name my-app-stack \\\n --query 'StackEvents[?ResourceStatus==`CREATE_FAILED`]'\n\n\nReview CloudWatch Logs for Lambda or ECS errors.\nFix the template or resource configuration.\nDelete the failed stack before retrying:\naws cloudformation delete-stack --stack-name my-app-stack\n# Wait for deletion\naws cloudformation wait stack-delete-complete --stack-name my-app-stack\n# Redeploy\naws cloudformation create-stack ...\n\nCommon failure causes:\n\nIAM permission errors → verify --capabilities CAPABILITY_IAM and role trust policies\nResource limit exceeded → request quota increase via Service Quotas console\nInvalid template syntax → run aws cloudformation validate-template --template-body file://template.yaml before deploying" }, { "title": "architecture_designer.py", "body": "Generates architecture patterns based on requirements.\n\npython scripts/architecture_designer.py --input requirements.json --output design.json\n\nInput: JSON with app type, scale, budget, compliance needs\nOutput: Recommended pattern, service stack, cost estimate, pros/cons" }, { "title": "serverless_stack.py", "body": "Creates serverless CloudFormation templates.\n\npython scripts/serverless_stack.py --app-name my-app --region us-east-1\n\nOutput: Production-ready CloudFormation YAML with:\n\nAPI Gateway + Lambda\nDynamoDB table\nCognito user pool\nIAM roles with least privilege\nCloudWatch logging" }, { "title": "cost_optimizer.py", "body": "Analyzes costs and recommends optimizations.\n\npython scripts/cost_optimizer.py --resources inventory.json --monthly-spend 5000\n\nOutput: Recommendations for:\n\nIdle resource removal\nInstance right-sizing\nReserved capacity purchases\nStorage tier transitions\nNAT Gateway alternatives" }, { "title": "MVP Architecture (< $100/month)", "body": "Ask: \"Design a serverless MVP backend for a mobile app with 1000 users\"\n\nResult:\n- Lambda + API Gateway for API\n- DynamoDB pay-per-request for data\n- Cognito for authentication\n- S3 + CloudFront for static assets\n- Estimated: $20-50/month" }, { "title": "Scaling Architecture ($500-2000/month)", "body": "Ask: \"Design a scalable architecture for a SaaS platform with 50k users\"\n\nResult:\n- ECS Fargate for containerized API\n- Aurora Serverless for relational data\n- ElastiCache for session caching\n- CloudFront for CDN\n- CodePipeline for CI/CD\n- Multi-AZ deployment" }, { "title": "Cost Optimization", "body": "Ask: \"Optimize my AWS setup to reduce costs by 30%. Current spend: $3000/month\"\n\nProvide: Current resource inventory (EC2, RDS, S3, etc.)\n\nResult:\n- Idle resource identification\n- Right-sizing recommendations\n- Savings Plans analysis\n- Storage lifecycle policies\n- Target savings: $900/month" }, { "title": "IaC Generation", "body": "Ask: \"Generate CloudFormation for a three-tier web app with auto-scaling\"\n\nResult:\n- VPC with public/private subnets\n- ALB with HTTPS\n- ECS Fargate with auto-scaling\n- Aurora with read replicas\n- Security groups and IAM roles" }, { "title": "Input Requirements", "body": "Provide these details for architecture design:\n\nRequirementDescriptionExampleApplication typeWhat you're buildingSaaS platform, mobile backendExpected scaleUsers, requests/sec10k users, 100 RPSBudgetMonthly AWS limit$500/month maxTeam contextSize, AWS experience3 devs, intermediateComplianceRegulatory needsHIPAA, GDPR, SOC 2AvailabilityUptime requirements99.9% SLA, 1hr RPO\n\nJSON Format:\n\n{\n \"application_type\": \"saas_platform\",\n \"expected_users\": 10000,\n \"requests_per_second\": 100,\n \"budget_monthly_usd\": 500,\n \"team_size\": 3,\n \"aws_experience\": \"intermediate\",\n \"compliance\": [\"SOC2\"],\n \"availability_sla\": \"99.9%\"\n}" }, { "title": "Architecture Design", "body": "Pattern recommendation with rationale\nService stack diagram (ASCII)\nMonthly cost estimate and trade-offs" }, { "title": "IaC Templates", "body": "CloudFormation YAML: Production-ready SAM/CFN templates\nCDK TypeScript: Type-safe infrastructure code\nTerraform HCL: Multi-cloud compatible configs" }, { "title": "Cost Analysis", "body": "Current spend breakdown with optimization recommendations\nPriority action list (high/medium/low) and implementation checklist" }, { "title": "Reference Documentation", "body": "DocumentContentsreferences/architecture_patterns.md6 patterns: serverless, microservices, three-tier, data processing, GraphQL, multi-regionreferences/service_selection.mdDecision matrices for compute, database, storage, messagingreferences/best_practices.mdServerless design, cost optimization, security hardening, scalability" } ], "body": "AWS Solution Architect\n\nDesign scalable, cost-effective AWS architectures for startups with infrastructure-as-code templates.\n\nWorkflow\nStep 1: Gather Requirements\n\nCollect application specifications:\n\n- Application type (web app, mobile backend, data pipeline, SaaS)\n- Expected users and requests per second\n- Budget constraints (monthly spend limit)\n- Team size and AWS experience level\n- Compliance requirements (GDPR, HIPAA, SOC 2)\n- Availability requirements (SLA, RPO/RTO)\n\nStep 2: Design Architecture\n\nRun the architecture designer to get pattern recommendations:\n\npython scripts/architecture_designer.py --input requirements.json\n\n\nExample output:\n\n{\n \"recommended_pattern\": \"serverless_web\",\n \"service_stack\": [\"S3\", \"CloudFront\", \"API Gateway\", \"Lambda\", \"DynamoDB\", \"Cognito\"],\n \"estimated_monthly_cost_usd\": 35,\n \"pros\": [\"Low ops overhead\", \"Pay-per-use\", \"Auto-scaling\"],\n \"cons\": [\"Cold starts\", \"15-min Lambda limit\", \"Eventual consistency\"]\n}\n\n\nSelect from recommended patterns:\n\nServerless Web: S3 + CloudFront + API Gateway + Lambda + DynamoDB\nEvent-Driven Microservices: EventBridge + Lambda + SQS + Step Functions\nThree-Tier: ALB + ECS Fargate + Aurora + ElastiCache\nGraphQL Backend: AppSync + Lambda + DynamoDB + Cognito\n\nSee references/architecture_patterns.md for detailed pattern specifications.\n\nValidation checkpoint: Confirm the recommended pattern matches the team's operational maturity and compliance requirements before proceeding to Step 3.\n\nStep 3: Generate IaC Templates\n\nCreate infrastructure-as-code for the selected pattern:\n\n# Serverless stack (CloudFormation)\npython scripts/serverless_stack.py --app-name my-app --region us-east-1\n\n\nExample CloudFormation YAML output (core serverless resources):\n\nAWSTemplateFormatVersion: '2010-09-09'\nTransform: AWS::Serverless-2016-10-31\n\nParameters:\n AppName:\n Type: String\n Default: my-app\n\nResources:\n ApiFunction:\n Type: AWS::Serverless::Function\n Properties:\n Handler: index.handler\n Runtime: nodejs20.x\n MemorySize: 512\n Timeout: 30\n Environment:\n Variables:\n TABLE_NAME: !Ref DataTable\n Policies:\n - DynamoDBCrudPolicy:\n TableName: !Ref DataTable\n Events:\n ApiEvent:\n Type: Api\n Properties:\n Path: /{proxy+}\n Method: ANY\n\n DataTable:\n Type: AWS::DynamoDB::Table\n Properties:\n BillingMode: PAY_PER_REQUEST\n AttributeDefinitions:\n - AttributeName: pk\n AttributeType: S\n - AttributeName: sk\n AttributeType: S\n KeySchema:\n - AttributeName: pk\n KeyType: HASH\n - AttributeName: sk\n KeyType: RANGE\n\n\nFull templates including API Gateway, Cognito, IAM roles, and CloudWatch logging are generated by serverless_stack.py and also available in references/architecture_patterns.md.\n\nExample CDK TypeScript snippet (three-tier pattern):\n\nimport * as ecs from 'aws-cdk-lib/aws-ecs';\nimport * as ec2 from 'aws-cdk-lib/aws-ec2';\nimport * as rds from 'aws-cdk-lib/aws-rds';\n\nconst vpc = new ec2.Vpc(this, 'AppVpc', { maxAzs: 2 });\n\nconst cluster = new ecs.Cluster(this, 'AppCluster', { vpc });\n\nconst db = new rds.ServerlessCluster(this, 'AppDb', {\n engine: rds.DatabaseClusterEngine.auroraPostgres({\n version: rds.AuroraPostgresEngineVersion.VER_15_2,\n }),\n vpc,\n scaling: { minCapacity: 0.5, maxCapacity: 4 },\n});\n\nStep 4: Review Costs\n\nAnalyze estimated costs and optimization opportunities:\n\npython scripts/cost_optimizer.py --resources current_setup.json --monthly-spend 2000\n\n\nExample output:\n\n{\n \"current_monthly_usd\": 2000,\n \"recommendations\": [\n { \"action\": \"Right-size RDS db.r5.2xlarge → db.r5.large\", \"savings_usd\": 420, \"priority\": \"high\" },\n { \"action\": \"Purchase 1-yr Compute Savings Plan at 40% utilization\", \"savings_usd\": 310, \"priority\": \"high\" },\n { \"action\": \"Move S3 objects >90 days to Glacier Instant Retrieval\", \"savings_usd\": 85, \"priority\": \"medium\" }\n ],\n \"total_potential_savings_usd\": 815\n}\n\n\nOutput includes:\n\nMonthly cost breakdown by service\nRight-sizing recommendations\nSavings Plans opportunities\nPotential monthly savings\nStep 5: Deploy\n\nDeploy the generated infrastructure:\n\n# CloudFormation\naws cloudformation create-stack \\\n --stack-name my-app-stack \\\n --template-body file://template.yaml \\\n --capabilities CAPABILITY_IAM\n\n# CDK\ncdk deploy\n\n# Terraform\nterraform init && terraform apply\n\nStep 6: Validate and Handle Failures\n\nVerify deployment and set up monitoring:\n\n# Check stack status\naws cloudformation describe-stacks --stack-name my-app-stack\n\n# Set up CloudWatch alarms\naws cloudwatch put-metric-alarm --alarm-name high-errors ...\n\n\nIf stack creation fails:\n\nCheck the failure reason:\naws cloudformation describe-stack-events \\\n --stack-name my-app-stack \\\n --query 'StackEvents[?ResourceStatus==`CREATE_FAILED`]'\n\nReview CloudWatch Logs for Lambda or ECS errors.\nFix the template or resource configuration.\nDelete the failed stack before retrying:\naws cloudformation delete-stack --stack-name my-app-stack\n# Wait for deletion\naws cloudformation wait stack-delete-complete --stack-name my-app-stack\n# Redeploy\naws cloudformation create-stack ...\n\n\nCommon failure causes:\n\nIAM permission errors → verify --capabilities CAPABILITY_IAM and role trust policies\nResource limit exceeded → request quota increase via Service Quotas console\nInvalid template syntax → run aws cloudformation validate-template --template-body file://template.yaml before deploying\nTools\narchitecture_designer.py\n\nGenerates architecture patterns based on requirements.\n\npython scripts/architecture_designer.py --input requirements.json --output design.json\n\n\nInput: JSON with app type, scale, budget, compliance needs Output: Recommended pattern, service stack, cost estimate, pros/cons\n\nserverless_stack.py\n\nCreates serverless CloudFormation templates.\n\npython scripts/serverless_stack.py --app-name my-app --region us-east-1\n\n\nOutput: Production-ready CloudFormation YAML with:\n\nAPI Gateway + Lambda\nDynamoDB table\nCognito user pool\nIAM roles with least privilege\nCloudWatch logging\ncost_optimizer.py\n\nAnalyzes costs and recommends optimizations.\n\npython scripts/cost_optimizer.py --resources inventory.json --monthly-spend 5000\n\n\nOutput: Recommendations for:\n\nIdle resource removal\nInstance right-sizing\nReserved capacity purchases\nStorage tier transitions\nNAT Gateway alternatives\nQuick Start\nMVP Architecture (< $100/month)\nAsk: \"Design a serverless MVP backend for a mobile app with 1000 users\"\n\nResult:\n- Lambda + API Gateway for API\n- DynamoDB pay-per-request for data\n- Cognito for authentication\n- S3 + CloudFront for static assets\n- Estimated: $20-50/month\n\nScaling Architecture ($500-2000/month)\nAsk: \"Design a scalable architecture for a SaaS platform with 50k users\"\n\nResult:\n- ECS Fargate for containerized API\n- Aurora Serverless for relational data\n- ElastiCache for session caching\n- CloudFront for CDN\n- CodePipeline for CI/CD\n- Multi-AZ deployment\n\nCost Optimization\nAsk: \"Optimize my AWS setup to reduce costs by 30%. Current spend: $3000/month\"\n\nProvide: Current resource inventory (EC2, RDS, S3, etc.)\n\nResult:\n- Idle resource identification\n- Right-sizing recommendations\n- Savings Plans analysis\n- Storage lifecycle policies\n- Target savings: $900/month\n\nIaC Generation\nAsk: \"Generate CloudFormation for a three-tier web app with auto-scaling\"\n\nResult:\n- VPC with public/private subnets\n- ALB with HTTPS\n- ECS Fargate with auto-scaling\n- Aurora with read replicas\n- Security groups and IAM roles\n\nInput Requirements\n\nProvide these details for architecture design:\n\nRequirement\tDescription\tExample\nApplication type\tWhat you're building\tSaaS platform, mobile backend\nExpected scale\tUsers, requests/sec\t10k users, 100 RPS\nBudget\tMonthly AWS limit\t$500/month max\nTeam context\tSize, AWS experience\t3 devs, intermediate\nCompliance\tRegulatory needs\tHIPAA, GDPR, SOC 2\nAvailability\tUptime requirements\t99.9% SLA, 1hr RPO\n\nJSON Format:\n\n{\n \"application_type\": \"saas_platform\",\n \"expected_users\": 10000,\n \"requests_per_second\": 100,\n \"budget_monthly_usd\": 500,\n \"team_size\": 3,\n \"aws_experience\": \"intermediate\",\n \"compliance\": [\"SOC2\"],\n \"availability_sla\": \"99.9%\"\n}\n\nOutput Formats\nArchitecture Design\nPattern recommendation with rationale\nService stack diagram (ASCII)\nMonthly cost estimate and trade-offs\nIaC Templates\nCloudFormation YAML: Production-ready SAM/CFN templates\nCDK TypeScript: Type-safe infrastructure code\nTerraform HCL: Multi-cloud compatible configs\nCost Analysis\nCurrent spend breakdown with optimization recommendations\nPriority action list (high/medium/low) and implementation checklist\nReference Documentation\nDocument\tContents\nreferences/architecture_patterns.md\t6 patterns: serverless, microservices, three-tier, data processing, GraphQL, multi-region\nreferences/service_selection.md\tDecision matrices for compute, database, storage, messaging\nreferences/best_practices.md\tServerless design, cost optimization, security hardening, scalability" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/alirezarezvani/aws-solution-architect", "publisherUrl": "https://clawhub.ai/alirezarezvani/aws-solution-architect", "owner": "alirezarezvani", "version": "2.1.1", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/aws-solution-architect", "downloadUrl": "https://openagent3.xyz/downloads/aws-solution-architect", "agentUrl": "https://openagent3.xyz/skills/aws-solution-architect/agent", "manifestUrl": "https://openagent3.xyz/skills/aws-solution-architect/agent.json", "briefUrl": "https://openagent3.xyz/skills/aws-solution-architect/agent.md" } }