사용 방법
- 설치 명령을 복사하고 자신의 에이전트 환경에 설치하기 전에 소스 패키지를 확인하세요.
- 필요한 도구, 인증 정보, 지원 환경은 원본 문서에서 확인하세요.
- 입력과 원하는 산출물을 설명하고 출처와 결과를 대조하세요.
npx skills add https://github.com/styleof/superpowers --skill agent-tools시작 전 확인
- 설치에는 모델 구독, API 한도, 파일 접근 권한이 포함되지 않습니다.
- 별점 수와 설치 수는 활동 지표이며 독립적인 품질·보안 검증이 아닙니다.
원본 Skill 문서
원본 저장소의 제목, 예시, 코드, 표, 링크, 이미지를 유지해 표시합니다.
Install the belt CLI skill: npx skills add belt-sh/cliinference.sh
Run AI apps in the cloud with a simple CLI. No GPU required.
](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgjw8atdxgkrsr8a2t5peq7b.jpeg)
Install CLI
bash
curl -fsSL https://cli.inference.sh | sh
belt loginWhat does the installer do? The install script detects your OS and architecture, downloads the correct binary fromdist.inference.sh, verifies its SHA-256 checksum, and places it in your PATH. That's it — no elevated permissions, no background processes, no telemetry. If you have cosign installed, the installer also verifies the Sigstore signature automatically. Manual install (if you prefer not to pipe to sh): ``bash # Download the binary and checksums curl -LO https://dist.inference.sh/cli/checksums.txt curl -LO $(curl -fsSL https://dist.inference.sh/cli/manifest.json | grep -o '"url":"[^"]*"' | grep $(uname -s | tr A-Z a-z)-$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/') | head -1 | cut -d'"' -f4) # Verify checksum sha256sum -c checksums.txt --ignore-missing # Extract and install tar -xzf inferencesh-cli-*.tar.gz mv inferencesh-cli-* ~/.local/bin/inferencesh
Quick Examples
bash
# Generate an image
belt app run falai/flux-dev-lora --input '{"prompt": "a cat astronaut"}'
# Generate a video
belt app run google/veo-3-1-fast --input '{"prompt": "drone over mountains"}'
# Call Claude
belt app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'
# Web search
belt app run tavily/search-assistant --input '{"query": "latest AI news"}'
# Post to Twitter
belt app run x/post-tweet --input '{"text": "Hello from AI!"}'
# Generate 3D model
belt app run infsh/rodin-3d-generator --input '{"prompt": "a wooden chair"}'Local File Uploads
The CLI automatically uploads local files when you provide a path instead of a URL:
bash
# Upscale a local image
belt app run falai/topaz-image-upscaler --input '{"image": "/path/to/photo.jpg", "upscale_factor": 2}'
# Image-to-video from local file
belt app run falai/wan-2-5-i2v --input '{"image": "./my-image.png", "prompt": "make it move"}'
# Avatar with local audio and image
belt app run bytedance/omnihuman-1-5 --input '{"audio": "/path/to/speech.mp3", "image": "/path/to/face.jpg"}'
# Post tweet with local media
belt app run x/post-create --input '{"text": "Check this out!", "media": "./screenshot.png"}'Commands
| Task | Command |
|---|---|
| Browse the app store | belt app list |
| Search apps | belt app search "flux" |
| Filter by category | belt app list --category image |
| Get app details | belt app get google/veo-3-1-fast |
| Generate sample input | belt app sample google/veo-3-1-fast --save input.json |
| Run app | belt app run google/veo-3-1-fast --input input.json |
| Run without waiting | belt app run <app> --input input.json --no-wait |
| Check task status | belt task get <task-id> |
What's Available
| Category | Examples |
|---|---|
| Image | FLUX, Gemini 3 Pro, Grok Imagine, Seedream 4.5, Reve, Topaz Upscaler |
| Video | Veo 3.1, Seedance 1.5, Wan 2.5, OmniHuman, Fabric, HunyuanVideo Foley |
| LLMs | Claude Opus/Sonnet/Haiku, Gemini 3 Pro, Kimi K2, GLM-4, any OpenRouter model |
| Search | Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract |
| 3D | Rodin 3D Generator |
| Twitter/X | post-tweet, post-create, dm-send, user-follow, post-like, post-retweet |
| Utilities | Media merger, caption videos, image stitching, audio extraction |
Related Skills
bash
# Image generation (FLUX, Gemini, Grok, Seedream)
npx skills add inference-sh/skills@ai-image-generation
# Video generation (Veo, Seedance, Wan, OmniHuman)
npx skills add inference-sh/skills@ai-video-generation
# LLMs (Claude, Gemini, Kimi, GLM via OpenRouter)
npx skills add inference-sh/skills@llm-models
# Web search (Tavily, Exa)
npx skills add inference-sh/skills@web-search
# AI avatars & lipsync (OmniHuman, Fabric, PixVerse)
npx skills add inference-sh/skills@ai-avatar-video
# Twitter/X automation
npx skills add inference-sh/skills@twitter-automation
# Model-specific
npx skills add inference-sh/skills@flux-image
npx skills add inference-sh/skills@google-veo
# Utilities
npx skills add inference-sh/skills@image-upscaling
npx skills add inference-sh/skills@background-removalReference Files
Documentation
- Agent Skills Overview - The open standard for AI capabilities
- Getting Started - Introduction to inference.sh
- What is inference.sh? - Platform overview
- Apps Overview - Understanding the app ecosystem
- CLI Setup - Installing the CLI
- Workflows vs Agents - When to use each
- Why Agent Runtimes Matter - Runtime benefits
