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GitHub - vidanov/aws-architecture-diagram-skill: Reusable skill for generating AWS architecture diagrams in draw.io format. Works with Kiro CLI and Claude Code.
vidanov · 2026-05-28 · via Hacker News - Newest: "AI"

Website

Prompt → AI Agent + Skill → .drawio diagram

A reusable skill for generating AWS architecture diagrams in draw.io format. Works with any AI assistant — ChatGPT, Claude Projects, Kiro CLI, Claude Code, or any internal AI agent that supports custom prompts and file uploads.

Generates production-quality .drawio files using official AWS Architecture Icons with proper styling, layout, and color coding.

Features

  • Left-to-right flow — UI/Frontend on left, data sources on right
  • Official AWS icons — from draw.io's built-in mxgraph.aws4 stencil library (sourced from AWS Architecture Icons)
  • Verified icon catalog — only icons confirmed to render correctly
  • Consistent styling — 78px icons, strokeWidth=2 edges, proper AWS color palette
  • Export support — PNG/SVG/PDF via draw.io Desktop CLI with embedded XML

Installation

Skills CLI (recommended — works with Claude Code, Cursor, Codex, Kiro, and 50+ agents)

npx skills add vidanov/aws-architecture-diagram-skill

Install to a specific agent:

npx skills add vidanov/aws-architecture-diagram-skill --agent claude-code
npx skills add vidanov/aws-architecture-diagram-skill --agent cursor
npx skills add vidanov/aws-architecture-diagram-skill --agent kiro

Install globally (available in all projects):

npx skills add vidanov/aws-architecture-diagram-skill --global

skills.sh

Any AI Assistant (ChatGPT, Claude Projects, Internal Agents)

No code or CLI required. Works with any AI that supports custom instructions and file uploads:

  1. Copy the prompt from chatgpt/PROMPT.md into your assistant's system prompt / custom instructions field
  2. Upload the reference files from chatgpt/references/ to the knowledge base / project files
  3. Start asking for AWS architecture diagrams

This works with:

  • ChatGPT → Custom GPT or Project with instructions + files
  • Claude Projects → Project instructions + project knowledge
  • Internal corporate AI agents → System prompt + knowledge base uploads
  • Any LLM with file context → Paste prompt + reference content

Tip: Set temperature to 0.3 for consistent XML output.

Claude Code (Plugin — recommended)

/plugin marketplace add vidanov/aws-architecture-diagram-skill
/plugin install aws-architecture-diagram@vidanov-skills

Then use it:

/aws-architecture-diagram:aws-architecture-diagram

Or just ask naturally — the skill activates automatically when you mention AWS architecture diagrams.

Claude Code (Manual)

mkdir -p ~/.claude/skills/aws-architecture-diagram
cp claude/SKILL.md ~/.claude/skills/aws-architecture-diagram/SKILL.md
cp -r references ~/.claude/skills/aws-architecture-diagram/references

Kiro CLI

# Global (all projects)
mkdir -p ~/.kiro/skills/aws-architecture-diagram
cp kiro/SKILL.md ~/.kiro/skills/aws-architecture-diagram/SKILL.md
cp -r references ~/.kiro/skills/aws-architecture-diagram/references

# Per-project
mkdir -p .kiro/skills/aws-architecture-diagram
cp kiro/SKILL.md .kiro/skills/aws-architecture-diagram/SKILL.md
cp -r references .kiro/skills/aws-architecture-diagram/references

Usage

Just ask to create an AWS architecture diagram:

Create an AWS architecture diagram for a serverless API with Lambda, DynamoDB, and API Gateway

Or with export:

Create an AWS architecture diagram as PNG for a real-time data pipeline with Kinesis, Lambda, and S3

Example Output

Event-Driven Order Processing

"Create an event-driven order processing architecture with SQS, Lambda, DynamoDB, and EventBridge"

Event-Driven Order Processing Download .drawio

Real-Time IoT Analytics

"Create a real-time IoT analytics pipeline with Kinesis, Lambda, S3 data lake, and DynamoDB"

Real-Time IoT Analytics Download .drawio

3-Tier Web Application

"Create a 3-tier web application with CloudFront, ALB, ECS Fargate, Aurora, and ElastiCache"

3-Tier Web Application Download .drawio

Structure

aws-architecture-diagram-skill/
├── README.md
├── LICENSE
├── chatgpt/
│   ├── PROMPT.md                       # Universal prompt (ChatGPT, Claude Projects, any AI)
│   └── references/                     # Same icons in .txt format for upload
│       ├── aws-icons-common.txt
│       ├── aws-icons-compute.txt
│       ├── aws-icons-database.txt
│       ├── aws-icons-integration.txt
│       ├── aws-icons-networking.txt
│       ├── aws-icons-storage.txt
│       ├── aws-icons-security.txt
│       ├── aws-icons-analytics-ml.txt
│       └── aws-icons-iot-migration-devtools.txt
├── kiro/
│   └── SKILL.md                        # Kiro CLI version
├── claude/
│   └── SKILL.md                        # Claude Code version
└── references/
    ├── aws-icons-compute.md            # Lambda, EC2, ECS, EKS, Fargate (25+ icons)
    ├── aws-icons-database.md           # DynamoDB, RDS, Aurora, ElastiCache (40+ icons)
    ├── aws-icons-integration.md        # API GW, SQS, SNS, EventBridge, Step Functions (35+ icons)
    ├── aws-icons-networking.md         # CloudFront, Route 53, VPC, ELB (40+ icons)
    ├── aws-icons-storage.md            # S3, EFS, EBS, Glacier, Backup (40+ icons)
    ├── aws-icons-security.md           # IAM, Cognito, KMS, WAF, Shield (45+ icons)
    ├── aws-icons-analytics-ml.md       # Kinesis, Athena, Bedrock, SageMaker (45+ icons)
    └── aws-icons-common.md             # Groups, general resources, edge styles, base template

Key Insight: Two Icon Patterns

draw.io AWS icons have two patterns with opposite strokeColor rules:

Pattern Style strokeColor Use for
Service-level shape=mxgraph.aws4.resourceIcon;resIcon=mxgraph.aws4.<name> #ffffff (REQUIRED) Main service icons (colored square + white glyph)
Resource-level shape=mxgraph.aws4.<name> none (REQUIRED) Sub-resources (silhouette icons)

Confusing these patterns is the #1 cause of broken icons in AI-generated diagrams.

Key Insight: Legacy Stencil Names

draw.io stencil names don't always match current AWS service names. Renamed services keep their old stencil identifiers:

AWS Service draw.io resIcon Reason
Amazon OpenSearch Service elasticsearch_service Renamed from Elasticsearch (2021)

Empty icon = wrong stencil name. The skill includes a verified icon catalog to prevent this.

Two-Step Edit Approach

The skill instructs the AI agent to:

  1. Generate the .drawio XML
  2. Export to PNG and visually review for broken icons or layout issues
  3. Fix and re-export

This catches rendering problems that are invisible in raw XML.

Supported Services (110+ icons)

Category Icons
Compute Lambda, EC2, ECS, EKS, Fargate
App Integration API Gateway, SNS, SQS, EventBridge, Step Functions
Database DynamoDB, RDS, Aurora, ElastiCache
Storage S3, EFS, EBS
Networking CloudFront, Route 53, VPC, ELB (ALB/NLB)
Security IAM, Cognito, KMS, WAF

Known Broken Icons

These resIcon values do NOT render in draw.io — avoid them:

  • mxgraph.aws4.dynamodb_table → use mxgraph.aws4.dynamodb instead
  • mxgraph.aws4.dynamodb_stream → use mxgraph.aws4.dynamodb with label
  • mxgraph.aws4.general_saml_token → use mxgraph.aws4.traditional_server

Comparison with Alternatives

Solution Type Output Editable Zero-deps Verified Icons
aws-architecture-diagram-skill Agent Skill .drawio
jgraph/drawio-mcp MCP Server + Skill .drawio ❌ (MCP)
awslabs/aws-diagram-mcp-server MCP Server (Python) PNG ❌ (Python+GraphViz) N/A
awslabs/diagram-as-code CLI (Go) PNG/SVG ❌ (Go binary) N/A
carlosmgv02/diagram-ai-generator MCP Server Multi-cloud ❌ (MCP)
clouda.ai SaaS PNG N/A N/A

Why this approach wins:

  • No runtime dependencies. It's a markdown file, not a server.
  • Output is native .drawio XML you can open, edit, and version-control.
  • Verified icon catalog documents which mxgraph.aws4.* names actually render vs. silently break.
  • Opinionated layout: left-to-right flow with consistent spacing, not random placement.
  • Works with any AI assistant: ChatGPT, Claude, Kiro CLI, or internal corporate agents.

Contributing

Contributions are welcome! Here's how you can help:

  1. Fork this repository
  2. Create a branch for your feature or fix (git checkout -b my-feature)
  3. Make your changes — add icons, fix stencil names, improve layout rules, etc.
  4. Submit a Pull Request with a clear description of what you changed and why

You can also open an Issue if you:

  • Found a broken icon or wrong stencil name
  • Want to request support for a new AWS service
  • Have suggestions for layout or styling improvements
  • Encountered a bug with a specific AI agent

License

MIT