What is design-diagram?

A command that creates a Python picture of an Azure system, showing its cloud resources, network connections, and data flow. Azure is Microsoft's cloud computing platform.

Use it to generate a PNG architecture diagram from an Azure project assessment.

It turns an architecture description into a visual overview that is easier to inspect and discuss.

How MicrosoftLearning/trainer-demo-deploy configures Claude Code and G

Reuse

Borrowing it

Nothing to install: this file belongs to MicrosoftLearning/trainer-demo-deploy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/MicrosoftLearning/trainer-demo-deploy/main/.github/prompts/design-diagram.prompt.md

Clone the repo

git clone --depth 1 https://github.com/MicrosoftLearning/trainer-demo-deploy

Made for: Claude Code, GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/commands/microsoftlearning/trainer-demo-deploy/design-diagram/github.svg)](https://agentmods.dev/commands/microsoftlearning/trainer-demo-deploy/design-diagram)

Your own site

<a href="https://agentmods.dev/commands/microsoftlearning/trainer-demo-deploy/design-diagram"><img src="https://agentmods.dev/badge/commands/microsoftlearning/trainer-demo-deploy/design-diagram/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/commands/microsoftlearning/trainer-demo-deploy/design-diagram"><img src="https://agentmods.dev/badge/commands/microsoftlearning/trainer-demo-deploy/design-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 584 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00009	$0.00584
Opus 5.5	$0.00004	$0.00234
Sonnet 5.5	$0.00002	$0.00117
Haiku 4.5	$0.00001	$0.00058

Measured today against content hash 4f4d936b4197, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

design-diagram scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/prompts/design-diagram.prompt.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Architecture Diagram

Create a Python architecture diagram using the diagrams library that visualizes all Azure resources, network topology, and data flow for the project.

Mission

Read the architecture assessment, extract all Azure resources and their relationships, and generate a Python script that produces a PNG architecture diagram following the az-azure-diagrams skill conventions.

Scope & Preconditions

generated-scenarios/${input:projectName}/02-architecture-assessment.md must exist
Read .github/skills/az-consolidated/SKILL.md for diagram conventions, icon catalog, and naming conventions
Use the diagrams Python library (pre-installed in dev container)

Inputs

Variable	Description	Default
`${input:projectName}`	Project name matching the `generated-scenarios/` folder	Required

Workflow

Step 1: Read Architecture

Read generated-scenarios/{projectName}/02-architecture-assessment.md for the full resource list, network topology, and data flow paths.

Step 2: Design Diagram Layout

Group resources by Azure resource group or logical tier
Show network connectivity (VNets, subnets, private endpoints)
Include data flow arrows with labels
Use the correct Azure icons from the diagrams skill icon catalog

Step 3: Generate Python Script

Follow the az-azure-diagrams skill template structure:

File header with project metadata
Diagram context with project name as title
Cluster groupings for resource groups or tiers
Edge definitions for data flow

Step 4: Execute and Verify

Run the Python script to produce the PNG output. Verify the image renders correctly.

Step 5: Save Artifacts

Save to generated-scenarios/{projectName}/03-architect-diagram.py.

Output Expectations

generated-scenarios/{projectName}/
├── 03-architect-diagram.py     # Python source
└── 03-architect-diagram.png    # Rendered output

Read the full file on GitHub · 84 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

today First seen · 84 lines · 9 tokens per session scan A 4f4d936b4197

Subscribe to this mod's changes

design-diagram is a command published in the GitHub repository MicrosoftLearning/trainer-demo-deploy (31 stars, last pushed 11d ago), licensed MIT. It adds 9 tokens to every session and 584 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-07.

Cloud DevOps and cloud

design-diagram next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
design-diagramMicrosoftLearning/trainer-demo-deploy	Command	31	11d ago	MIT	A	9	Claude Code, GitHub Copilot
cost-optimizewshobson/agents	Command	42k	2d ago	MIT	A	26	Claude Code
deploybutterbase-ai/butterbase-skills	Command	535	7d ago	MIT	A	20	Claude Code
envvercel/vercel-plugin	Command	328	yesterday	none	A	35	Claude Code
firebase-publishPierry/harness-kit	Command	4	1mo ago	MIT	A	20	Claude Code
scanprajapatimehul/claude-aws-cost-saver	Command	24	4mo ago	MIT	A	6	Claude Code
migrationdatabayt/hogwarts	Command	18	4d ago	none	A	4	Claude Code

trainer-demo-deploy: Command for Claude Code