ai-draw

Name: ai-draw
Author: bugkeep

by bugkeep

Verified

Create and edit drawings through conversation.

172stars

15forks

Python

Added 10/24/2026

Installation

# Add to your Claude Code skills
git clone https://github.com/bugkeep/ai-draw

Getting Started

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Security ReportVerified

Last scanned: 10/24/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-10-24T08:41:08.636Z",
  "npmAuditRan": true,
  "pipAuditRan": false,
  "promptInjectionRan": true
}

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README.md

Frequently Asked Questions

What is ai-draw?

ai-draw is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by bugkeep. Create and edit drawings through conversation. It has 172 GitHub stars.

Is ai-draw safe to use?

Yes. ai-draw 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.

How do I install ai-draw?

Clone the repository with "git clone https://github.com/bugkeep/ai-draw" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is ai-draw written in?

ai-draw is primarily written in Python. It is open-source under bugkeep on GitHub, so you can review or fork the full source.

Are there alternatives to ai-draw?

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 ai-draw 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.

Read the Terms of Service

Demos

Draw a seaside lighthouse through conversation

https://github.com/user-attachments/assets/7714f650-9fae-4703-bc8d-e0e7c9602668

Create a research flowchart through conversation

https://github.com/user-attachments/assets/d940e09e-315d-4c90-b445-78f5c335a306

https://github.com/user-attachments/assets/a49c6592-7d0c-42b2-9ead-c513bdab30bf

Features

Describe: Create sketches, illustrations, and flowcharts from text.
Refine: Move objects, change colors, delete, undo, and redo through conversation.
Draw by hand: Select, drag, use the pen, or add text directly on the canvas.
Save your work: Canvases save automatically. Export PNG, JPG, WebP, SVG, or editable Excalidraw files.

Quick start

Requires Python 3.11+ and Node.js 20.19+. On Windows, install Chrome as well.

1. Install and start

git clone https://github.com/bugkeep/ai-draw.git
cd ai-draw
python -m pip install -r requirements.txt
cd frontend-app
npm ci
npm run build
npx playwright install --with-deps chromium
cd ..
python run.py

For later launches, run python run.py from the project directory.

2. Connect a model

Open http://127.0.0.1:8000 and click Settings (设置) in the top-right corner.

Choose a provider and enter the model name, API URL, and API key.
Use a model with image input and tool calling, then click Test connection (测试连接).
Once the test passes, click Save (保存配置) and return to the canvas.

Choose OpenAI, Claude, Gemini, Ark, or another provider, or connect a local service or custom compatible endpoint. API usage is billed by your provider. Model setup

Try these prompts

"Draw a multimodal RAG research flowchart, grouped into data preparation, retrieval and generation, and evaluation and output."
"Add a quality check and a feedback loop to the evaluation section."
"Draw a seaside lighthouse under moonlight, with a small sailboat and stars."
"Make the sea a deeper blue-green and brighten the lighthouse light."

Feedback and contributions

Share your drawings, suggest ideas, or report problems in Issues.

Deployment · Contributing · Development · MIT License