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Theme Factory

Checked
smallnest·vlatest·frontend·MIT

Generates creative themes & prompts based on a single word or phrase, sparking ideas and overcoming writer's block.

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 smallnest/langgraphgo --skill theme-factory -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

smallnest

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 smallnest/langgraphgo at 8babee09de.

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

Scanned
12 files, 260 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 smallnest-theme-factory skill allows AI agents to generate and apply themes. It provides a mechanism for customizing the visual appearance of outputs, potentially including color palettes, typography, and layout elements. This enables more visually consistent and branded results from AI interactions.

When to use it

  • Branding: Generate content with specific brand colors and fonts for marketing materials or presentations.
  • Visual Consistency: Ensure a uniform look across multiple outputs like reports, documents, or website mockups.
  • Personalized Experience: Tailor the appearance of responses based on user preferences or context.
  • Creative Projects: Experiment with different visual styles and themes for design explorations or artistic endeavors.

Key capabilities

  • Theme generation
  • Theme application
  • Customization options (details unspecified in source)

Example prompts

  • "Create a theme with a dark blue color palette and a modern font."
  • "Apply the 'corporate' theme to this report."
  • "Generate a theme suitable for a children’s book, using bright colors."

Tips & gotchas

The specific customization options available within themes are not detailed in the source. Experimentation may be required to achieve desired visual results.