Aws Architecture Diagram

Community

automateyournetwork

aws-architecture-diagram

AWS architecture diagrams — generate visual network topology diagrams from live AWS infrastructure. Use when drawing AWS network diagrams, visualizing VPCs, mapping Transit Gateway topology, or generating architecture documentation.

Overview

Publisher	automateyournetwork
Repository	`netclaw`
Skill name	`aws-architecture-diagram`
Stars	680
Forks	189
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the Aws Architecture Diagram AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/aws-architecture-diagram
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/aws-architecture-diagram

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/aws-architecture-diagram .claude/skills/aws-architecture-diagram

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Architecture Diagram in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aws Architecture Diagram on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aws Architecture Diagram is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

AWS Architecture Diagram

MCP Server

Command: uvx awslabs.aws-diagram-mcp-server@latest (stdio transport)
Requires: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION (or AWS_PROFILE)
Dependency: Requires graphviz installed on the system (apt install graphviz or brew install graphviz)

Key Capabilities

Auto-discovery: Scan AWS account and render infrastructure as a diagram
Network topology: VPCs, subnets, route tables, IGW, NAT GW, TGW connections
Service mapping: EC2, ELB, RDS, Lambda placed in their VPC/subnet context
Multiple formats: PNG, SVG, PDF output
Filtered views: Scope diagram to specific VPCs, services, or tags

Workflow: Network Architecture Diagram

When a user asks "draw our AWS network" or "show me the architecture":

Generate diagram: Use diagram tool scoped to networking resources
Include: VPCs, subnets (public/private), IGW, NAT GW, TGW, VPN, peering connections
Label: CIDR blocks, subnet names, AZ placement
Connections: Show routing paths — TGW attachments, peering links, VPN tunnels
Output: PNG or SVG file for sharing in Slack or documentation
Report: Architecture summary alongside the diagram

Workflow: VPC Detail Diagram

When focusing on a specific VPC:

Scope to VPC: Filter diagram to one VPC by ID or tag
Show subnets: Public, private, isolated — grouped by AZ
Show route tables: Main and custom route tables with key routes
Show gateways: IGW, NAT GW, VPC endpoints
Show security: NACLs, security group relationships
Output: Detailed VPC topology diagram

Workflow: Multi-Account Network Diagram

When documenting cross-account architecture:

Hub-spoke topology: Show Transit Gateway as the hub
VPC attachments: Each spoke VPC with its CIDR and purpose
Route propagation: Show which routes propagate where
VPN/DX: On-premises connections via VPN or Direct Connect
Inspection VPC: Network Firewall placement if applicable
Output: Enterprise network topology diagram

Integration with Other Skills

Skill	How They Work Together
`aws-network-ops`	Discover VPCs/TGWs first, then diagram them
`aws-cloud-monitoring`	Add CloudWatch metrics annotations to diagram
`aws-cost-ops`	Annotate diagram with cost per resource
`markmap-viz`	Generate mindmap alternative for simpler overviews

Diagram Scoping Tips

Scope	When To Use
Full account	Initial architecture review or documentation
Single VPC	Troubleshooting or VPC-specific audit
TGW + attachments	Multi-VPC connectivity review
Subnet-level	Security audit or routing investigation
Tagged resources	Application-specific or team-specific views

Important Rules

Graphviz required — the MCP server generates Graphviz DOT files and renders them; graphviz must be installed
Large accounts may produce complex diagrams — scope with filters for clarity
Region-specific — diagram shows resources in the configured AWS_REGION only
Read-only — only discovers and renders, never modifies resources
Record in GAIT — log diagram generation for audit trail

Environment Variables

AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION (or AWS_PROFILE)

Failure Behavior

On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.

Frequently asked questions

What does the Aws Architecture Diagram AI skill do?

Why use Aws Architecture Diagram on TypingMind?

Because you install it once and use it with any model. Aws Architecture Diagram is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aws Architecture Diagram in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/aws-architecture-diagram. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Aws Architecture Diagram?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aws Architecture Diagram?

As many as you like. As long as a model supports skills, you can use Aws Architecture Diagram with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aws Architecture Diagram AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

AWS Architecture Diagram

MCP Server

Key Capabilities

Workflow: Network Architecture Diagram

Workflow: VPC Detail Diagram

Workflow: Multi-Account Network Diagram

Integration with Other Skills

Diagram Scoping Tips

Important Rules

Environment Variables

Failure Behavior

Frequently asked questions

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