[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EXD1ZG73Z2PAVCTYRN0N8C":3,"skill-same:01M6EXD1ZG73Z2PAVCTYRN0N8C":79},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":23,"publishedAt":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":55,"ownerHtmlUrl":56,"ownerBlogUrl":6,"ownerDescription":57,"updatedAt":58,"install":59,"resources":72},"01M6EXD1ZG73Z2PAVCTYRN0N8C","aws-serverless",null,"Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS\u002FSNS event-driven patterns, SAM\u002FCDK deployment, and cold start optimization.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fsickn33\u002Faws-serverless\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"aws","aws serverless","serverless","api","event","event-driven","cold","sam","cdk","functions","ready","specialized","deployment","applications","lambda","Production","Optimization","start","gateway","apache","2026-11-10 10:12:30",false,"---\nname: aws-serverless\ndescription: \"Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS\u002FSNS event-driven patterns, SAM\u002FCDK deployment, and cold start optimization.\"\nsource: vibeship-spawner-skills (Apache 2.0)\n---\n\n# AWS Serverless\n\n## Patterns\n\n### Lambda Handler Pattern\n\nProper Lambda function structure with error handling\n\n**When to use**: ['Any Lambda function implementation', 'API handlers, event processors, scheduled tasks']\n\n```python\n```javascript\n\u002F\u002F Node.js Lambda Handler\n\u002F\u002F handler.js\n\n\u002F\u002F Initialize outside handler (reused across invocations)\nconst { DynamoDBClient } = require('@aws-sdk\u002Fclient-dynamodb');\nconst { DynamoDBDocumentClient, GetCommand } = require('@aws-sdk\u002Flib-dynamodb');\n\nconst client = new DynamoDBClient({});\nconst docClient = DynamoDBDocumentClient.from(client);\n\n\u002F\u002F Handler function\nexports.handler = async (event, context) => {\n  \u002F\u002F Optional: Don't wait for event loop to clear (Node.js)\n  context.callbackWaitsForEmptyEventLoop = false;\n\n  try {\n    \u002F\u002F Parse input based on event source\n    const body = typeof event.body === 'string'\n      ? JSON.parse(event.body)\n      : event.body;\n\n    \u002F\u002F Business logic\n    const result = await processRequest(body);\n\n    \u002F\u002F Return API Gateway compatible response\n    return {\n      statusCode: 200,\n      headers: {\n        'Content-Type': 'application\u002Fjson',\n        'Access-Control-Allow-Origin': '*'\n      },\n      body: JSON.stringify(result)\n    };\n  } catch (error) {\n    console.error('Error:', JSON.stringify({\n      error: error.message,\n      stack: error.stack,\n      requestId: context.awsRequestId\n    }));\n\n    return {\n      statusCode: error.statusCode || 500,\n      headers: { 'Content-Type': 'application\u002Fjson' },\n      body: JSON.stringify({\n        error: error.message || 'Internal server error'\n      })\n    };\n  }\n};\n\nasync function processRequest(data) {\n  \u002F\u002F Your business logic here\n  const result = await docClient.send(new GetCommand({\n    TableName: process.env.TABLE_NAME,\n    Key: { id: data.id }\n  }));\n  return result.Item;\n}\n```\n\n```python\n# Python Lambda Handler\n# handler.py\n\nimport json\nimport os\nimport logging\nimport boto3\nfrom botocore.exceptions import ClientError\n\n# Initialize outside handler (reused across invocations)\nlogger = logging.getLogger()\nlogger.setLevel(logging.INFO)\n\ndynamodb = boto3.resource('dynamodb')\ntable = dynamodb.Table(os.environ['TABLE_NAME'])\n\ndef handler(event, context):\n    try:\n        # Parse i\n```\n\n### API Gateway Integration Pattern\n\nREST API and HTTP API integration with Lambda\n\n**When to use**: ['Building REST APIs backed by Lambda', 'Need HTTP endpoints for functions']\n\n```javascript\n```yaml\n# template.yaml (SAM)\nAWSTemplateFormatVersion: '2010-09-09'\nTransform: AWS::Serverless-2016-10-31\n\nGlobals:\n  Function:\n    Runtime: nodejs20.x\n    Timeout: 30\n    MemorySize: 256\n    Environment:\n      Variables:\n        TABLE_NAME: !Ref ItemsTable\n\nResources:\n  # HTTP API (recommended for simple use cases)\n  HttpApi:\n    Type: AWS::Serverless::HttpApi\n    Properties:\n      StageName: prod\n      CorsConfiguration:\n        AllowOrigins:\n          - \"*\"\n        AllowMethods:\n          - GET\n          - POST\n          - DELETE\n        AllowHeaders:\n          - \"*\"\n\n  # Lambda Functions\n  GetItemFunction:\n    Type: AWS::Serverless::Function\n    Properties:\n      Handler: src\u002Fhandlers\u002Fget.handler\n      Events:\n        GetItem:\n          Type: HttpApi\n          Properties:\n            ApiId: !Ref HttpApi\n            Path: \u002Fitems\u002F{id}\n            Method: GET\n      Policies:\n        - DynamoDBReadPolicy:\n            TableName: !Ref ItemsTable\n\n  CreateItemFunction:\n    Type: AWS::Serverless::Function\n    Properties:\n      Handler: src\u002Fhandlers\u002Fcreate.handler\n      Events:\n        CreateItem:\n          Type: HttpApi\n          Properties:\n            ApiId: !Ref HttpApi\n            Path: \u002Fitems\n            Method: POST\n      Policies:\n        - DynamoDBCrudPolicy:\n            TableName: !Ref ItemsTable\n\n  # DynamoDB Table\n  ItemsTable:\n    Type: AWS::DynamoDB::Table\n    Properties:\n      AttributeDefinitions:\n        - AttributeName: id\n          AttributeType: S\n      KeySchema:\n        - AttributeName: id\n          KeyType: HASH\n      BillingMode: PAY_PER_REQUEST\n\nOutputs:\n  ApiUrl:\n    Value: !Sub \"https:\u002F\u002F${HttpApi}.execute-api.${AWS::Region}.amazonaws.com\u002Fprod\"\n```\n\n```javascript\n\u002F\u002F src\u002Fhandlers\u002Fget.js\nconst { getItem } = require('..\u002Flib\u002Fdynamodb');\n\nexports.handler = async (event) => {\n  const id = event.pathParameters?.id;\n\n  if (!id) {\n    return {\n      statusCode: 400,\n      body: JSON.stringify({ error: 'Missing id parameter' })\n    };\n  }\n\n  const item =\n```\n\n### Event-Driven SQS Pattern\n\nLambda triggered by SQS for reliable async processing\n\n**When to use**: ['Decoupled, asynchronous processing', 'Need retry logic and DLQ', 'Processing messages in batches']\n\n```python\n```yaml\n# template.yaml\nResources:\n  ProcessorFunction:\n    Type: AWS::Serverless::Function\n    Properties:\n      Handler: src\u002Fhandlers\u002Fprocessor.handler\n      Events:\n        SQSEvent:\n          Type: SQS\n          Properties:\n            Queue: !GetAtt ProcessingQueue.Arn\n            BatchSize: 10\n            FunctionResponseTypes:\n              - ReportBatchItemFailures  # Partial batch failure handling\n\n  ProcessingQueue:\n    Type: AWS::SQS::Queue\n    Properties:\n      VisibilityTimeout: 180  # 6x Lambda timeout\n      RedrivePolicy:\n        deadLetterTargetArn: !GetAtt DeadLetterQueue.Arn\n        maxReceiveCount: 3\n\n  DeadLetterQueue:\n    Type: AWS::SQS::Queue\n    Properties:\n      MessageRetentionPeriod: 1209600  # 14 days\n```\n\n```javascript\n\u002F\u002F src\u002Fhandlers\u002Fprocessor.js\nexports.handler = async (event) => {\n  const batchItemFailures = [];\n\n  for (const record of event.Records) {\n    try {\n      const body = JSON.parse(record.body);\n      await processMessage(body);\n    } catch (error) {\n      console.error(`Failed to process message ${record.messageId}:`, error);\n      \u002F\u002F Report this item as failed (will be retried)\n      batchItemFailures.push({\n        itemIdentifier: record.messageId\n      });\n    }\n  }\n\n  \u002F\u002F Return failed items for retry\n  return { batchItemFailures };\n};\n\nasync function processMessage(message) {\n  \u002F\u002F Your processing logic\n  console.log('Processing:', message);\n\n  \u002F\u002F Simulate work\n  await saveToDatabase(message);\n}\n```\n\n```python\n# Python version\nimport json\nimport logging\n\nlogger = logging.getLogger()\n\ndef handler(event, context):\n    batch_item_failures = []\n\n    for record in event['Records']:\n        try:\n            body = json.loads(record['body'])\n            process_message(body)\n        except Exception as e:\n            logger.error(f\"Failed to process {record['messageId']}: {e}\")\n            batch_item_failures.append({\n                'itemIdentifier': record['messageId']\n            })\n\n    return {'batchItemFailures': batch_ite\n```\n\n## Anti-Patterns\n\n### ❌ Monolithic Lambda\n\n**Why bad**: Large deployment packages cause slow cold starts.\nHard to scale individual operations.\nUpdates affect entire system.\n\n### ❌ Large Dependencies\n\n**Why bad**: Increases deployment package size.\nSlows down cold starts significantly.\nMost of SDK\u002Flibrary may be unused.\n\n### ❌ Synchronous Calls in VPC\n\n**Why bad**: VPC-attached Lambdas have ENI setup overhead.\nBlocking DNS lookups or connections worsen cold starts.\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Issue | high | ## Measure your INIT phase |\n| Issue | high | ## Set appropriate timeout |\n| Issue | high | ## Increase memory allocation |\n| Issue | medium | ## Verify VPC configuration |\n| Issue | medium | ## Tell Lambda not to wait for event loop |\n| Issue | medium | ## For large file uploads |\n| Issue | high | ## Use different buckets\u002Fprefixes |\n","# AWS Serverless\n\n## Patterns\n\n### Lambda Handler Pattern\n\nProper Lambda function structure with error handling\n\n**When to use**: ['Any Lambda function implementation', 'API handlers, event processors, scheduled tasks']\n\n```python\n```javascript\n\u002F\u002F Node.js Lambda Handler\n\u002F\u002F handler.js\n\n\u002F\u002F Initialize outside handler (reused across invocations)\nconst { DynamoDBClient } = require('@aws-sdk\u002Fclient-dynamodb');\nconst { DynamoDBDocumentClient, GetCommand } = require('@aws-sdk\u002Flib-dynamodb');\n\nconst client = new DynamoDBClient({});\nconst docClient = DynamoDBDocumentClient.from(client);\n\n\u002F\u002F Handler function\nexports.handler = async (event, context) => {\n  \u002F\u002F Optional: Don't wait for event loop to clear (Node.js)\n  context.callbackWaitsForEmptyEventLoop = false;\n\n  try {\n    \u002F\u002F Parse input based on event source\n    const body = typeof event.body === 'string'\n      ? JSON.parse(event.body)\n      : event.body;\n\n    \u002F\u002F Business logic\n    const result = await processRequest(body);\n\n    \u002F\u002F Return API Gateway compatible response\n    return {\n      statusCode: 200,\n      headers: {\n        'Content-Type': 'application\u002Fjson',\n        'Access-Control-Allow-Origin': '*'\n      },\n      body: JSON.stringify(result)\n    };\n  } catch (error) {\n    console.error('Error:', JSON.stringify({\n      error: error.message,\n      stack: error.stack,\n      requestId: context.awsRequestId\n    }));\n\n    return {\n      statusCode: error.statusCode || 500,\n      headers: { 'Content-Type': 'application\u002Fjson' },\n      body: JSON.stringify({\n        error: error.message || 'Internal server error'\n      })\n    };\n  }\n};\n\nasync function processRequest(data) {\n  \u002F\u002F Your business logic here\n  const result = await docClient.send(new GetCommand({\n    TableName: process.env.TABLE_NAME,\n    Key: { id: data.id }\n  }));\n  return result.Item;\n}\n```\n\n```python\n# Python Lambda Handler\n# handler.py\n\nimport json\nimport os\nimport logging\nimport boto3\nfrom botocore.exceptions import ClientError\n\n# Initialize outside handler (reused across invocations)\nlogger = logging.getLogger()\nlogger.setLevel(logging.INFO)\n\ndynamodb = boto3.resource('dynamodb')\ntable = dynamodb.Table(os.environ['TABLE_NAME'])\n\ndef handler(event, context):\n    try:\n        # Parse i\n```\n\n### API Gateway Integration Pattern\n\nREST API and HTTP API integration with Lambda\n\n**When to use**: ['Building REST APIs backed by Lambda', 'Need HTTP endpoints for functions']\n\n```javascript\n```yaml\n# template.yaml (SAM)\nAWSTemplateFormatVersion: '2010-09-09'\nTransform: AWS::Serverless-2016-10-31\n\nGlobals:\n  Function:\n    Runtime: nodejs20.x\n    Timeout: 30\n    MemorySize: 256\n    Environment:\n      Variables:\n        TABLE_NAME: !Ref ItemsTable\n\nResources:\n  # HTTP API (recommended for simple use cases)\n  HttpApi:\n    Type: AWS::Serverless::HttpApi\n    Properties:\n      StageName: prod\n      CorsConfiguration:\n        AllowOrigins:\n          - \"*\"\n        AllowMethods:\n          - GET\n          - POST\n          - DELETE\n        AllowHeaders:\n          - \"*\"\n\n  # Lambda Functions\n  GetItemFunction:\n    Type: AWS::Serverless::Function\n    Properties:\n      Handler: src\u002Fhandlers\u002Fget.handler\n      Events:\n        GetItem:\n          Type: HttpApi\n          Properties:\n            ApiId: !Ref HttpApi\n            Path: \u002Fitems\u002F{id}\n            Method: GET\n      Policies:\n        - DynamoDBReadPolicy:\n            TableName: !Ref ItemsTable\n\n  CreateItemFunction:\n    Type: AWS::Serverless::Function\n    Properties:\n      Handler: src\u002Fhandlers\u002Fcreate.handler\n      Events:\n        CreateItem:\n          Type: HttpApi\n          Properties:\n            ApiId: !Ref HttpApi\n            Path: \u002Fitems\n            Method: POST\n      Policies:\n        - DynamoDBCrudPolicy:\n            TableName: !Ref ItemsTable\n\n  # DynamoDB Table\n  ItemsTable:\n    Type: AWS::DynamoDB::Table\n    Properties:\n      AttributeDefinitions:\n        - AttributeName: id\n          AttributeType: S\n      KeySchema:\n        - AttributeName: id\n          KeyType: HASH\n      BillingMode: PAY_PER_REQUEST\n\nOutputs:\n  ApiUrl:\n    Value: !Sub \"https:\u002F\u002F${HttpApi}.execute-api.${AWS::Region}.amazonaws.com\u002Fprod\"\n```\n\n```javascript\n\u002F\u002F src\u002Fhandlers\u002Fget.js\nconst { getItem } = require('..\u002Flib\u002Fdynamodb');\n\nexports.handler = async (event) => {\n  const id = event.pathParameters?.id;\n\n  if (!id) {\n    return {\n      statusCode: 400,\n      body: JSON.stringify({ error: 'Missing id parameter' })\n    };\n  }\n\n  const item =\n```\n\n### Event-Driven SQS Pattern\n\nLambda triggered by SQS for reliable async processing\n\n**When to use**: ['Decoupled, asynchronous processing', 'Need retry logic and DLQ', 'Processing messages in batches']\n\n```python\n```yaml\n# template.yaml\nResources:\n  ProcessorFunction:\n    Type: AWS::Serverless::Function\n    Properties:\n      Handler: src\u002Fhandlers\u002Fprocessor.handler\n      Events:\n        SQSEvent:\n          Type: SQS\n          Properties:\n            Queue: !GetAtt ProcessingQueue.Arn\n            BatchSize: 10\n            FunctionResponseTypes:\n              - ReportBatchItemFailures  # Partial batch failure handling\n\n  ProcessingQueue:\n    Type: AWS::SQS::Queue\n    Properties:\n      VisibilityTimeout: 180  # 6x Lambda timeout\n      RedrivePolicy:\n        deadLetterTargetArn: !GetAtt DeadLetterQueue.Arn\n        maxReceiveCount: 3\n\n  DeadLetterQueue:\n    Type: AWS::SQS::Queue\n    Properties:\n      MessageRetentionPeriod: 1209600  # 14 days\n```\n\n```javascript\n\u002F\u002F src\u002Fhandlers\u002Fprocessor.js\nexports.handler = async (event) => {\n  const batchItemFailures = [];\n\n  for (const record of event.Records) {\n    try {\n      const body = JSON.parse(record.body);\n      await processMessage(body);\n    } catch (error) {\n      console.error(`Failed to process message ${record.messageId}:`, error);\n      \u002F\u002F Report this item as failed (will be retried)\n      batchItemFailures.push({\n        itemIdentifier: record.messageId\n      });\n    }\n  }\n\n  \u002F\u002F Return failed items for retry\n  return { batchItemFailures };\n};\n\nasync function processMessage(message) {\n  \u002F\u002F Your processing logic\n  console.log('Processing:', message);\n\n  \u002F\u002F Simulate work\n  await saveToDatabase(message);\n}\n```\n\n```python\n# Python version\nimport json\nimport logging\n\nlogger = logging.getLogger()\n\ndef handler(event, context):\n    batch_item_failures = []\n\n    for record in event['Records']:\n        try:\n            body = json.loads(record['body'])\n            process_message(body)\n        except Exception as e:\n            logger.error(f\"Failed to process {record['messageId']}: {e}\")\n            batch_item_failures.append({\n                'itemIdentifier': record['messageId']\n            })\n\n    return {'batchItemFailures': batch_ite\n```\n\n## Anti-Patterns\n\n### ❌ Monolithic Lambda\n\n**Why bad**: Large deployment packages cause slow cold starts.\nHard to scale individual operations.\nUpdates affect entire system.\n\n### ❌ Large Dependencies\n\n**Why bad**: Increases deployment package size.\nSlows down cold starts significantly.\nMost of SDK\u002Flibrary may be unused.\n\n### ❌ Synchronous Calls in VPC\n\n**Why bad**: VPC-attached Lambdas have ENI setup overhead.\nBlocking DNS lookups or connections worsen cold starts.\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Issue | high | ## Measure your INIT phase |\n| Issue | high | ## Set appropriate timeout |\n| Issue | high | ## Increase memory allocation |\n| Issue | medium | ## 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