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Stac Screen Builder

Checked
stacdev·vlatest·frontend·MIT

The Stac Screen Builder generates Stac collections from specified screen schemas, streamlining data access and discovery.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add stacdev/stac --skill stac-screen-builder -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

stacdev

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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 stacdev/stac at b6cfe7cdb2.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
8 files, 295 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The stac-screen-builder skill generates screen layouts and UI elements based on textual descriptions. It can produce structured data representing these screens, suitable for integration into various applications or platforms. The skill is authored by stacdev/stac and aims to simplify the creation of user interfaces through AI assistance.

When to use it

  • Designing a mobile app prototype: Quickly generate screen layouts based on feature descriptions.
  • Creating UI mockups for web development projects: Visualize design concepts before coding begins.
  • Generating structured data for automated UI testing: Create test cases from defined screen structures.
  • Rapidly iterating on user interface designs: Easily modify and regenerate screens with updated prompts.

Key capabilities

  • Screen layout generation
  • UI element creation
  • Structured data output (format unspecified in source)

Example prompts

  • "Create a login screen with fields for username and password, and a submit button."
  • "Generate a product listing page showing image, title, and price."
  • "Build a settings screen with toggles for notifications and dark mode."

Tips & gotchas

The skill's output format is not specified in the provided source. Experimentation may be needed to understand how to best integrate the generated data into your workflow.