AWS Architecture Diagram Agent Skill

Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries.

Context cost
21.4k tokensestimated from the bundle, loaded when it triggers
Bundle
14 of 21 fileshanded out here; the rest is at its source
Licence
Apache-2.0the author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries. Use this skill whenever the user wants to create, generate, or design AWS architecture diagrams, cloud infrastructure diagrams, or system design visuals. Also triggers for requests to visualize existing infrastructure from CloudFormation, CDK, or Terraform code. Supports two modes: analyze an existing codebase to auto-generate diagrams, or brainstorm interactively from scratch. Exports .drawio files with optional PNG/SVG/PDF export via draw.io desktop CLI.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

awscloud
Filed under

Cloud & DevOps

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md15.3 kB · preview
--- name: aws-architecture-diagram argument-hint: "[describe your architecture or say 'analyze' to scan codebase]" allowed-tools: Bash, Write, Read, Glob, Grep user-invocable: true ---
9You are an AWS architecture diagram generator that produces draw.io XML files with official AWS4 icons. The diagrams you produce MUST match the style of official AWS Reference Architecture diagrams — professional title and subtitle, teal numbered step badges with a right sidebar legend, 48x48 service icons inside colored category containers, clean Helvetica typography, and clear data flow.
10
11## Workflow
12
13### Step 1: Determine Mode
14
15**Mode A — Codebase Analysis:** If the user says "analyze", "scan", "from code", or references their existing project:
16
171. Scan for infrastructure files: CloudFormation (AWSTemplateFormatVersion, AWS::*), CDK (cdk.json, construct definitions), Terraform (resource "aws_*")
182. Extract services, relationships, VPC structure, and data flow direction
193. If NO AWS infrastructure files found, scan for non-AWS technologies: Dockerfiles, database configs, API integrations, ML frameworks (pytorch, tensorflow, coreml), message brokers (kafka, rabbitmq). Map discovered technologies using references/general-icons.md
204. For MIXED architectures (AWS + non-AWS): use AWS icons for AWS services, general icons for non-AWS. Same layout rules apply.
215. Confirm discovered architecture with user before generating
226. Ask which diagram type best represents the architecture
23
24**Mode B — Brainstorming:** If the user describes an architecture or says "brainstorm"/"design"/"from scratch":
25
261. Ask 3-5 focused questions (purpose, services, scale, security, traffic pattern)
272. Propose the architecture with service recommendations and data flow
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md2,014 words
Files14
LicenceApache-2.0
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈190
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
21,210
on trigger
The instruction body and 13 supporting files, read only when the skill fires.
10.7%
of a 200k window
Ten skills this size would not fit in the window together.
050k100k150k200k context window

21.4k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

It asks the agent to write files, using whatever file access your client already has. Whether it reaches the network is not declared.

What it asks for
Writes filesyes
Network accessnot declared

Read from the allowed-tools line of this skill’s own SKILL.md. It also asks for Bash, which could do either, so what is not named there is not ruled out. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

The download carries 14 of the 21 files in its source folder; the list here names 14 files, 85.6 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in. The other 7 are not in the download — listed after these, with why.

  • SKILL.md15.3 kB
  • references/aws4-shapes-resources.md14.9 kB
  • references/aws4-shapes-services.md9.1 kB
  • references/cli-export.md2.0 kB
  • references/diagram-templates-advanced.md1.5 kB
  • references/diagram-templates-basic.md2.6 kB
  • references/general-icons.md5.2 kB
  • references/group-styles.md6.7 kB
  • references/layout-guidelines.md6.4 kB
  • references/post-processing.md1.0 kB
  • references/style-guide.md6.3 kB
  • references/xml-rules.md5.2 kB
  • references/xml-templates-examples.md2.9 kB
  • references/xml-templates-structure.md6.5 kB

Not in the download

Not carried is a type a skill download does not hold. Marked read: its SKILL.md or scripts name the file, so without it the skill works only in part. Take them from its source.

  • references/example-agentcore.drawioread · not carried
  • references/example-complex-platform.drawioread · not carried
  • references/example-event-driven.drawioread · not carried
  • references/example-microservices.drawioread · not carried
  • references/example-multi-region-active-active.drawioread · not carried
  • references/example-saas-backend.drawioread · not carried
  • references/example-sketch.drawioread · not carried
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the download is 14 files — not the whole of its source: 7 files are left out, and the skill reads 7 of them. They are listed under the files, with why. The Apache-2.0 licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# AWS Architecture Diagram · 21.4k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/aws-architecture-diagram/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/aws-architecture-diagram" ] && { [ ! -e .claude/skills/aws-architecture-diagram ] || { mv .claude/skills/aws-architecture-diagram "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/aws-architecture-diagram" .claude/skills/ && echo "Installed .claude/skills/aws-architecture-diagram"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add awslabs/aws-architecture-diagram

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/aws-architecture-diagram/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/aws-architecture-diagram/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/aws-architecture-diagram" ] && { [ ! -e ~/.claude/skills/aws-architecture-diagram ] || { mv ~/.claude/skills/aws-architecture-diagram "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/aws-architecture-diagram" ~/.claude/skills/ && echo "Installed ~/.claude/skills/aws-architecture-diagram" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/aws-architecture-diagram/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. Not in this download: 7 files of its source, 7 of them read by its SKILL.md or scripts (the full list, and why). Take them from its source.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referenceawslabs/aws-architecture-diagram

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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Publisher
Servers2
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