Maintainer of this skill?
Automated security scan — not a certification.
by patrickchugh
Cloud architecture diagrams in both directions: AI prompt or JSON to diagram, diagram to Terraform via MCP server, and Terraform to diagram via CLI or CI/CD. Using Official AWS, Azure and GCP icons.
# Add to your Claude Code skills
git clone https://github.com/patrickchugh/terravisionGuides for using ai agents skills like terravision.
Last scanned: 9/25/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-09-25T09:24:33.631Z",
"npmAuditRan": true,
"pipAuditRan": false,
"promptInjectionRan": true
}See how terravision compares with popular alternatives.
terravision is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by patrickchugh. Cloud architecture diagrams in both directions: AI prompt or JSON to diagram, diagram to Terraform via MCP server, and Terraform to diagram via CLI or CI/CD. Using Official AWS, Azure and GCP icons. It has 1,678 GitHub stars.
Yes. terravision passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/patrickchugh/terravision" and add it to your Claude Code skills directory (see the Installation section above).
terravision is primarily written in Python. It is open-source under patrickchugh on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh terravision against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Professional cloud architecture diagrams in official AWS, Azure and GCP style, from a description in Claude or ChatGPT or from your Terraform
🌐 terravision.online · 📖 Full documentation →
TerraVision is a free, open-source cloud architecture diagram generator for AWS, Azure and Google Cloud that works in both directions: design to code (describe it to your AI assistant, get the diagram, then the Terraform) and code to diagram (draw what your Terraform deploys).
Ask your AI assistant for a cloud architecture diagram, in plain words, and get the diagram a cloud architect would draw: the official AWS, Azure and GCP icons, with every resource in its VPC, subnet, zone or resource group. From a description, from your Terraform code, or the other way round, with the Terraform written from the diagram. TerraVision runs on your own computer and needs no cloud access.
Draw prod without prod access.
TerraVision draws what your Terraform will deploy, from the code alone. The infrastructure doesn't have to exist yet, and you need no access to any account it deploys to. Live cloud scanners can't do that. See how →
The same three-tier design on each cloud, then a flagship for each. Every example comes with the prompt and the source file: see the full gallery →
More in the gallery: AWS serverless event-driven · AWS data lake · AWS multi-region failover · AWS multi-account network · Azure AKS · Google Cloud data pipeline
TerraVision installs as an extension in Claude Desktop and a plugin in the ChatGPT desktop app, where the diagram appears right in the chat. It also works in Claude Code, Codex CLI, GitHub Copilot, Cursor and any other MCP client.
TerraVision needs Graphviz (to draw) and Git. uv runs TerraVision for Claude Code, Codex, Antigravity CLI and other MCP clients; Claude Desktop brings its own on Windows and macOS, so skip it there. Terraform is only needed to draw from Terraform code.
With Homebrew:
brew install graphviz git
brew install uv # not needed for Claude Desktop
brew install hashicorp/tap/terraform # optional: to draw from Terraform code
In PowerShell:
winget install --id Graphviz.Graphviz -e
winget install --id Git.Git -e
winget install --id astral-sh.uv -e # not needed for Claude Desktop
winget install --id Hashicorp.Terraform -e # optional: to draw from Terraform code
Then open a new terminal, and restart your AI app, so they see the new programs.
sudo apt install graphviz git
# Ubuntu 26.04 and later only (also Debian 14 "forky"/testing).
# Skip on older releases such as Ubuntu 24.04: graphviz already includes it.
sudo apt install libgvplugin-neato-layout8
curl -LsSf https://astral.sh/uv/install.sh | sh # Claude Desktop on Linux needs uv pre-installed
# optionally install terraform, to draw from Terraform code: HashiCorp's apt repository
wget -O- https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list
sudo apt update && sudo apt install terraform
Other distributions: HashiCorp's install guide.
No admin rights, or no package manager? Each tool can be unpacked into your home folder and added to your PATH: installation guide.
Claude Desktop: download terravision-<version>.mcpb from the latest release and open it (or drag it into Settings → Extensions). Diagrams appear right in the chat, with buttons to open the image, edit it in draw.io, show it in its folder and see its source.
**Claude