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Image Generation

Checked
sanky369·vlatest·ai-ml·MIT

Helps with image processing, code generation as part of building AI and machine learning applications workflows.

Repository

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 sanky369/vibe-building-skills --skill image-generation -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

sanky369

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 sanky369/vibe-building-skills at e9714d8dec.

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

Commit
e9714d8dec
Manifest
skills/creative/image-generation/SKILL.md
Scanned
2 files, 243 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

This skill enables AI agents to generate custom images directly from text prompts, transforming descriptive ideas into visual assets without manual design tools. It serves as a foundational capability for creating illustrative content, avatars, or scene concepts based on natural language instructions.

When to use it

  • Rapidly prototyping visual concepts for marketing campaigns or storyboards.
  • Creating unique profile pictures or avatar art for digital identities.
  • Generating background imagery for chat interfaces or presentation slides.
  • Visualizing abstract descriptions into concrete graphical representations.

Key capabilities

  • Text-to-image synthesis from natural language prompts.
  • Direct integration within AI agent workflows.
  • Support for diverse artistic styles and subject matter.

Example prompts

  • "Create a futuristic cityscape with flying vehicles at sunset."
  • "Generate a cute cartoon avatar of a cat wearing glasses."
  • "Design a minimalist logo for a coffee shop named 'Bean & Brew'."

Tips & gotchas

Ensure your text prompts are descriptive and specific to achieve the desired visual outcome, as vague instructions often lead to generic results. This skill relies on underlying generative models, so complex or highly detailed requests may require iterative refinement of the prompt.