Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →michaelboeding/background-remove
Remove backgrounds from images using AI. Triggers include: "remove background", "transparent background", "cut out", "isolate subject", "remove bg", "make transparent", "extract subject", "background removal" Creates PNG or WebP images with transparent backgrounds.
Passed 17 of 21 test cases with the skill, and 11 of 21 without it.
and 5 more in the full report
7 fixed11 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
What directory path relative to `${SKILL_PATH}` must be added to Python's `sys.path` to import `remove_background` directly?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies adding ${SKILL_PATH}/skills/background-remove/scripts to sys.path. | Missed | Passed |
The instructions your model reads when the skill loads.
Remove backgrounds from images using AI (rembg/U2-Net) or built-in methods.
Output: PNG or WebP with transparent background.
| User Says | What Happens |
|---|---|
| "Remove the background from this photo" | AI removes background, outputs PNG |
| "Make this image transparent" | Removes background, preserves subject |
| "Cut out the product from this image" | Isolates subject with clean edges |
| "Remove backgrounds from all images in /photos" | Batch processes multiple images |
| "Quick background removal, white background" | Uses fast built-in method |
rembg - AI-based background removal (recommended)
pip install rembg
# Or with GPU acceleration (faster, requires CUDA)
pip install rembg[gpu]
Pillow - Required for image processing
pip install Pillow
The first run will download the U2-Net model (~170MB) which is cached for future use.
| Method | Description | Best For |
|---|---|---|
| rembg | AI-based using U2-Net model | Complex images, photos, products (default) |
| builtin | White-to-transparent conversion | Icons, graphics with clean white backgrounds |
test cases passed, vs 11 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.