Draw Io
CheckedDraw Io allows you to generate unique, abstract art images through simple interactive controls – a fun and easy way to create visuals!
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add softaworks/agent-toolkit --skill draw-io -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
softaworks
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned softaworks/agent-toolkit at 3027f20f31.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 3027f20f31
- Manifest
- skills/draw-io/SKILL.md
- Scanned
- 6 files, 1,335 lines
About this skill
What it does
This skill enables AI agents to interact with Draw.io, a popular diagramming tool, allowing them to create, edit, and manage diagrams directly within the agent's workflow. It facilitates the generation of visual representations for complex data structures, system architectures, and process flows without requiring manual intervention in a separate application.
When to use it
- Generating UML class diagrams or sequence diagrams from natural language descriptions of software requirements.
- Creating flowcharts to visualize business processes or algorithmic logic during planning sessions.
- Producing network topology maps or infrastructure schematics for technical documentation projects.
- Updating existing diagrams by adding new nodes, connections, or labels based on evolving project specifications.
Key capabilities
- Diagram Creation: Instantly generate new diagrams from text prompts specifying shapes and layouts.
- Editing & Modification: Update existing diagrams by altering shapes, lines, colors, and text labels.
- Format Support: Handle various diagram types including flowcharts, ERDs, mind maps, and org charts.
- Integration: Seamlessly connect with the Draw.io API to execute commands programmatically.
Example prompts
- "Create a UML sequence diagram showing the interaction between a user, an authentication service, and a database for a login process."
- "Add a new node labeled 'Payment Gateway' to the existing flowchart and connect it to the 'Checkout' step with a decision diamond."
- "Generate a mind map outlining the key components of a microservices architecture based on these three services: API, Auth, and Data."
Tips & gotchas
Ensure your prompts clearly specify the diagram type (e.g., flowchart vs. ERD) and desired elements to avoid generic outputs. For complex diagrams, breaking the request into smaller steps—such as defining the layout first, then adding details—often yields more accurate results than a single comprehensive command.