tools/image/background-removal/SKILL.md
Remove backgrounds from images with BiRefNet via inference.sh CLI. Model: BiRefNet (high accuracy background removal). Use for: product photos, portraits, e-commerce, transparent PNGs, photo editing. Triggers: remove background, background removal, remove bg, transparent background, cut out image, background remover, rembg, product photo editing, cutout, transparent png, bg removal, photo cutout
npx skillsauth add inference-sh/agent-skills background-removalInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Remove backgrounds from images via inference.sh CLI.

Requires inference.sh CLI (
belt). Install instructions
belt login
belt app run infsh/birefnet --input '{"image_url": "https://your-photo.jpg"}'
Use Reve for image editing including background changes:
belt app run falai/reve --input '{
"prompt": "remove the background, make it transparent",
"image_url": "https://portrait.jpg"
}'
Or change background directly:
belt app run falai/reve --input '{
"prompt": "change the background to a beach",
"image_url": "https://product-photo.jpg"
}'
# 1. Generate an image
belt app run falai/flux-dev-lora --input '{"prompt": "a cute robot mascot"}' > robot.json
# 2. Edit with Reve
belt app run falai/reve --input '{
"prompt": "remove background, transparent",
"image_url": "<url-from-step-1>"
}'
Returns a PNG with transparent background.
# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli
# Image generation
npx skills add inference-sh/skills@ai-image-generation
# FLUX models (including inpainting)
npx skills add inference-sh/skills@flux-image
# Upscaling
npx skills add inference-sh/skills@image-upscaling
Browse all image apps: belt app list --category image
development
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
tools
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
documentation
Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
tools
Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video