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Create hand-drawn explainer illustrations inside AI workflows to clarify ideas visually.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Doodleworks MCP" MCP server from askskill: Run: claude mcp add 'io-github-salzaki-doodleworks-mcp' -- npx -y doodleworks-mcp
Create a hand-drawn explainer illustration for a product overview of a team task board. Show four core features: task creation, status changes, assignee ownership, and progress tracking. Make it suitable for the first slide of a presentation.
A clear hand-drawn explainer illustration highlighting the four core features and their relationships, suitable for presentations.
Generate a hand-drawn illustration for an article about how AI automation improves team efficiency. Include people, process arrows, automation steps, and before-and-after outcomes in a simple, easy-to-understand style.
A hand-drawn visual suitable for a header or inline article image that quickly explains the automation flow and its value.
Turn the process from user needs to product launch into a hand-drawn explainer diagram. Show user research, requirement definition, design, development, testing, and release in order, with arrows connecting each stage.
A hand-drawn staged process diagram that clearly shows the full path from user needs to product launch.
Generate and edit Adobe Illustrator vector graphics with natural language prompts.
Generate editable hand-drawn flowcharts, ER diagrams, and architecture diagrams via MCP.
Lets AI create and manage diagrams via MCP.
Let AI create, edit, and share diagrams on a live Excalidraw canvas.
Create and edit draw.io diagrams programmatically in many visual formats.
Create and open draw.io diagrams from XML, Mermaid, or CSV via AI.