Design Md
OfficialGenerates clean, semantic HTML/CSS code from design mockups or textual descriptions for rapid frontend prototyping.
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 google-labs-code/stitch-skills --skill design-md -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
google-labs-code
Matched to the vendor's own GitHub organisation.
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 google-labs-code/stitch-skills at 0337446dad.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0337446dad
- Scanned
- 3 files, 349 lines
About this skill
What it does
The design-md skill enables AI agents to generate and format Markdown documents with structured design elements, such as headers, lists, code blocks, and tables. It supports creating clean, readable documentation or content tailored for technical audiences.
When to use it
- Writing API documentation or user guides in a clear, consistent format.
- Preparing README files for open-source projects.
- Formatting blog posts or tutorials with structured sections and code examples.
Key capabilities
- Generating Markdown headers, lists, and tables.
- Inserting properly formatted code blocks.
- Ensuring readability and structure in technical documentation.
Example prompts
- "Write a README file for my new JavaScript library."
- "Format this Python function with a code block and explanation."
- "Create a table summarizing the features of our product."
Tips & gotchas
- Ensure that your input includes clear instructions to guide the AI on structure and content.
- Use specific formatting cues like
codeor**bold**when needed for accurate output.