aws-diagrams

安装量: 534
排名: #2037

安装

npx skills add https://github.com/eraserlabs/eraser-io --skill aws-diagrams

AWS Diagram Generator

Generates architecture diagrams for AWS infrastructure from CloudFormation templates, AWS CLI output, or natural language descriptions.

When to Use

Activate this skill when:

User has AWS CloudFormation templates (YAML/JSON) User provides AWS CLI output (e.g., aws ec2 describe-instances) User wants to visualize AWS resources User mentions AWS services (EC2, S3, RDS, Lambda, VPC, etc.) User asks to "diagram my AWS infrastructure" How It Works

This skill generates AWS-specific diagrams by parsing AWS resources and calling the Eraser API directly:

Parse AWS Resources: Extract resources from CloudFormation, CLI output, or descriptions Map AWS Relationships: Identify VPCs, subnets, security groups, IAM roles Generate Eraser DSL: Create Eraser DSL code from AWS resources Call Eraser API: Use /api/render/elements with diagramType: "cloud-architecture-diagram" Instructions

When the user provides AWS infrastructure information:

Parse the Source

CloudFormation: Extract Resources section, identify types (AWS::EC2::Instance, etc.) CLI Output: Parse JSON output from aws commands Description: Identify AWS service names and relationships

Identify AWS Components

Networking: VPCs, Subnets, Internet Gateways, NAT Gateways, Route Tables Compute: EC2 Instances, Auto Scaling Groups, Lambda Functions, ECS Services Storage: S3 Buckets, EBS Volumes, EFS File Systems Databases: RDS Instances, DynamoDB Tables, ElastiCache Clusters Security: Security Groups, IAM Roles, IAM Policies, NACLs Load Balancing: ALB, NLB, CLB Other: SQS Queues, SNS Topics, API Gateway, CloudFront

Map Relationships

EC2 instances in subnets Subnets in VPCs Security groups attached to instances IAM roles attached to services Load balancers targeting instances Databases accessed by applications

Generate Eraser DSL Convert AWS resources to Eraser DSL:

CRITICAL: Label Formatting Rules Labels MUST be on a single line - NEVER use newlines inside label attributes Keep labels simple and readable - prefer separate labels over concatenating too much metadata Format DSL with proper line breaks (one node/group per line, but labels stay on single lines) If including metadata like CIDR blocks or instance types, include them in the same quoted label string: [label: "VPC 10.0.0.0/16"]

Example:

main-vpc [label: "VPC 10.0.0.0/16"] { public-subnet [label: "Public Subnet"] { web-server [icon: aws-ec2, label: "Web Server"] load-balancer [icon: aws-elb] } private-subnet [label: "Private Subnet"] { database [icon: aws-rds] cache [icon: aws-elasticache] } } data-bucket [icon: aws-s3] function [icon: aws-lambda] load-balancer -> web-server web-server -> database

Make the HTTP Request

IMPORTANT: You MUST execute this curl command after generating the DSL. Never stop after generating DSL without making the API call.

CRITICAL: In the X-Skill-Source header below, you MUST replace the value with your AI agent name:

If you are Claude (Anthropic), use: claude If you are running in Cursor, use: cursor If you are ChatGPT (OpenAI), use: chatgpt If you are Gemini (Google), use: gemini Otherwise, use your model/agent name in lowercase curl -X POST https://app.eraser.io/api/render/elements \ -H "Content-Type: application/json" \ -H "X-Skill-Source: eraser-skill" \ -H "Authorization: Bearer ${ERASER_API_KEY}" \ -d '{ "elements": [{ "type": "diagram", "id": "diagram-1", "code": "", "diagramType": "cloud-architecture-diagram" }], "scale": 2, "theme": "${ERASER_THEME:-dark}", "background": true }'

Track Sources During Analysis

As you analyze files and resources to generate the diagram, track:

Internal files: Record each file path you read and what information was extracted (e.g., infra/main.tf - VPC and subnet definitions) External references: Note any documentation, examples, or URLs consulted (e.g., AWS VPC best practices documentation) Annotations: For each source, note what it contributed to the diagram

Handle the Response

CRITICAL: Minimal Output Format

Your response MUST always include these elements with clear headers:

Diagram Preview: Display with a header

Diagram

{Title}

Use the ACTUAL imageUrl from the API response.

Editor Link: Display with a header

Open in Eraser

Edit this diagram in the Eraser editor

Use the ACTUAL URL from the API response.

Sources section: Brief list of files/resources analyzed (if applicable)

Sources

  • path/to/file - What was extracted

Diagram Code section: The Eraser DSL in a code block with eraser language tag

Diagram Code

```eraser

Learn More link: You can learn more about Eraser at https://docs.eraser.io

Additional content rules:

If the user ONLY asked for a diagram, include NOTHING beyond the 5 elements above If the user explicitly asked for more (e.g., "explain the architecture", "suggest improvements"), you may include that additional content Never add unrequested sections like Overview, Security Considerations, Testing, etc.

The default output should be SHORT. The diagram image speaks for itself.

AWS-Specific Tips Show Regions and AZs: Include availability zones for multi-AZ deployments VPC as Container: Always show VPCs containing subnets and resources Security Groups: Include security group rules and attachments IAM Roles: Show IAM roles attached to services Data Flow: Show traffic flow (Internet → ALB → EC2 → RDS) Use AWS Icons: Request AWS-specific styling in the description Example: CloudFormation with Multiple AWS Services User Input Resources: MyVPC: Type: AWS::EC2::VPC Properties: CidrBlock: 10.0.0.0/16

PublicSubnet: Type: AWS::EC2::Subnet Properties: VpcId: !Ref MyVPC CidrBlock: 10.0.1.0/24

WebServer: Type: AWS::EC2::Instance Properties: InstanceType: t3.micro SubnetId: !Ref PublicSubnet

MyBucket: Type: AWS::S3::Bucket Properties: BucketName: my-app-bucket

MyFunction: Type: AWS::Lambda::Function Properties: Runtime: python3.9 Handler: index.handler

MyDatabase: Type: AWS::RDS::DBInstance Properties: Engine: postgres DBInstanceClass: db.t3.micro

Expected Behavior

Parses CloudFormation:

Networking: VPC, Subnet Compute: EC2 instance, Lambda function Storage: S3 bucket Database: RDS PostgreSQL instance

Generates DSL showing AWS service diversity:

MyVPC [label: "VPC 10.0.0.0/16"] { PublicSubnet [label: "Public Subnet 10.0.1.0/24"] { WebServer [icon: aws-ec2, label: "EC2 t3.micro"] } }

MyBucket [icon: aws-s3, label: "S3 my-app-bucket"] MyFunction [icon: aws-lambda, label: "Lambda python3.9"] MyDatabase [icon: aws-rds, label: "RDS PostgreSQL db.t3.micro"]

WebServer -> MyBucket MyFunction -> MyDatabase WebServer -> MyDatabase

Important: All label text must be on a single line within quotes. AWS-specific: Include service icons, show data flows between services, group by VPC when applicable.

Calls /api/render/elements with diagramType: "cloud-architecture-diagram"

Example: AWS CLI Output User Input User runs: aws ec2 describe-instances Provides JSON output

Expected Behavior

Parses JSON to extract:

Instance IDs, types, states Subnet IDs, VPC IDs Security groups Tags

Formats and calls API

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