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godot-fungodot-fun/gai/.agents/skills/image-remove-background/SKILL.md

image-remove-background

Skill202 starsChanged 14 days agoMITView on GitHub

Removes image backgrounds and exports transparent PNGs using rembg (U2Net / BiRefNet). Use when the user wants background removal, matting, cutout, background cutout, transparent sprites, alpha PNG export, or remove background from a game/UI asset.

  • Installs packages

1 other project uses a version of this.

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The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 1 is distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Remove image backgrounds with AI matting via rembg.

    line 11
  2. Very specific:

    When this skill applies, read and follow dependency-manager — run scripts as documented, install missing tools into .dependency/.

    line 15
  3. Very specific:

    Run remove_background.py through the rembg manifest entry (.dependency/rembg/.venv/).

    line 17
  4. Very specific:

    Do not hand-write rembg i / rembg p — use the bundled script.

    line 18
  5. Very specific:

    Use bin/python on Unix. Model weights download on first run (~hundreds of MB).

    line 48
  6. Very specific:

    Use the bundled script, not hand-written rembg CLI commands.

    line 111

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Image Remove Background (rembg)

Remove image backgrounds with AI matting via rembg. Output is RGBA PNG with transparent background — ready for Godot sprites and UI.

Rules

When this skill applies, read and follow dependency-manager — run scripts as documented, install missing tools into .dependency/.

  • Run remove_background.py through the rembg manifest entry (.dependency/rembg/.venv/). Never use host python, py, python3, or any interpreter outside .dependency/.
  • Do not hand-write rembg i / rembg p — use the bundled script.
  • Single file only. Pass one image with --image; directories are not supported.
  • populated: false for rembg is not a reason to skip. Install first, set populated: true, retry the same command.
  • Pass the input path as-is (chat attachment path, Downloads/foo.png, project folder, etc.). Output goes to <image-dir>/image-remove-background/ by default — no path rewriting.
  • Never overwrite source files. Output lands in image-remove-background/ or --output.

Setup (first run)

From project root:

.dependency/python/python -m venv .dependency/rembg/.venv
.dependency/rembg/.venv/Scripts/python.exe -m pip install "rembg[cpu]"

GPU (CUDA) — faster processing:

.dependency/rembg/.venv/Scripts/python.exe -m pip install "rembg[gpu]"

Register in .dependency/manifest.json:

"rembg": {
  "populated": true,
  "bin": ".dependency/rembg/.venv/Scripts/python.exe"
}

Use bin/python on Unix. Model weights download on first run (~hundreds of MB).

Quick Start

Default: create an image-remove-background/ folder beside the input file and write the PNG there (never overwrites sources):

# image/sprites/hero.png → image/sprites/image-remove-background/hero.png
.dependency/rembg/.venv/Scripts/python.exe .ai/image-remove-background/remove_background.py --image image/sprites/hero.png

Custom output path:

.dependency/rembg/.venv/Scripts/python.exe .ai/image-remove-background/remove_background.py --image image/sprites/hero.png -o image/sprites/hero_cutout

Model selection

ModelUse case
u2net (default)General objects, icons, props
u2netpFaster / lighter; smaller assets
isnet-general-useHigher quality general matting
birefnet-generalBest general quality (slower)
birefnet-portraitCharacters / portraits
u2net_human_segHuman figures only
.dependency/rembg/.venv/Scripts/python.exe .ai/image-remove-background/remove_background.py --image image/character.png --model birefnet-portrait

Edge quality (alpha matting)

For hair, fur, or soft edges, enable alpha matting:

.dependency/rembg/.venv/Scripts/python.exe .ai/image-remove-background/remove_background.py --image image/portrait.png --alpha-matting

Defaults

OptionDefaultNotes
--imageRequiredSingle supported image file
Output<image-dir>/image-remove-background/<name>.pngUse -o / --output for custom file or directory
--modelu2netSee table above
--alpha-mattingoffEnable for fine edge detail
--cropoffTrim transparent borders after matting

Supported inputs: .png, .jpg, .jpeg, .webp, .gif, .bmp, .tif, .tiff, .avif, .ico.

Agent Workflow

  1. Paths — Pass whatever image path the user gives or the chat <image_files> path directly. Output lands in image-remove-background/ next to that file by default.
  2. One file per run — process one image, verify the result, then repeat for additional files if needed.
  3. Pick model — u2net for generic assets; birefnet-portrait for characters; birefnet-general when quality matters.
  4. Soft edges — try --alpha-matting if halos or jagged hair/fur appear.
  5. Already transparent — script still runs; rembg re-mats from visible RGB. Warn user if source already has alpha.
  6. Revert — delete output file or git restore if needed; sources are never modified.

Agent Notes

  1. Use the bundled script, not hand-written rembg CLI commands.
  2. Missing rembg venv → populate .dependency/ per dependency-manager, retry same command.
  3. Do not copy, move, or replace the source with cutout output — tell the user where the output file is.
  4. Flat white/green/magenta AI backgrounds → prefer image-remove-white-background over rembg.
  5. Need trim borders after matting → image-trim.

Troubleshooting

IssueFix
rembg missingFollow Setup; update manifest
Directory passed to --imageRun once per file; this skill accepts image files only
Output already existsDelete the existing output or choose a different -o path
Very slowInstall rembg[gpu]; try --model u2netp
Jagged edges--alpha-matting
Wrong subject removedSwitch model; try birefnet-general
Leftover background colorRe-run with --alpha-matting; check source contrast
OOM on large imagesScript auto-downscales inputs above 4096 px longest side

CLI

Copy-paste commands: cli/image-remove-background.md

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