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Garment Lifestyle Photography

Checked
tara-shopos·vlatest·video-media

This skill generates stylish lifestyle photos of garments for e-commerce, boosting product appeal and driving sales effectively.

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 tara-shopos/shopos-prototype --skill garment-lifestyle-photography -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

tara-shopos

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 tara-shopos/shopos-prototype at 73d9891945.

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

Commit
73d9891945
Manifest
apps/api/src/skills/garment-lifestyle-photography/SKILL.md
Scanned
1 file, 427 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 generates garment lifestyle photography. It creates images depicting clothing in realistic, everyday settings and scenarios to showcase style and appeal. The generated imagery aims for a high level of realism suitable for marketing or editorial use.

When to use it

  • Create product mockups for an online clothing store without needing physical photoshoots.
  • Visualize outfit combinations for social media content planning.
  • Generate images for lookbooks and style guides showcasing specific garments.
  • Develop visual assets for advertising campaigns featuring apparel.

Key capabilities

  • Garment lifestyle photography generation
  • Realistic image creation
  • Suitable for marketing/editorial use

Example prompts

  • "Create a photo of a woman wearing a red sweater, standing in a coffee shop."
  • "Generate an image of a man wearing jeans and a t-shirt walking down a city street."
  • "Show a model wearing a summer dress on a beach at sunset."

Tips & gotchas

The quality of the generated images depends heavily on the specificity of the prompt. Providing details about clothing style, setting, and desired mood will yield better results.