belt

Name: belt
Author: belt-sh

Use the belt CLI — run 250+ AI apps, manage knowledge, search skills, connect MCP servers

INSTALLATION

npx skills add https://github.com/belt-sh/cli --skill belt

Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

belt cli

belt is the cloud platform cli for ai agents. single ~4mb binary, no runtime dependencies.

install

curl -fsSL cli.inference.sh | sh

belt login

belt me

apps — run 250+ ai models

belt app search "flux"                    # find apps

belt app get fal/flux-pro                 # view schema

belt app sample fal/flux-pro --save in.json  # generate sample input

belt app run fal/flux-pro --input in.json    # run it

belt app run fal/flux-pro --input '{"prompt": "..."}' --save output.png

common apps:

image: fal/flux-pro, fal/real-esrgan (upscale)

video: google/veo-2, seedance/seedance-2-i2v

search: tavily/search, exa/search

audio: elevenlabs/tts

knowledge — persistent agent memory

belt know search "query"                  # semantic search

belt know list --type observation         # list by type

belt know get namespace/name              # get details

belt know create ./file.md --type concept # create from file

echo "learned X" | belt know create - --name x --type observation  # from stdin

belt know delete <id>

types: skill, concept, observation, reference, preference

skills — reusable workflows

belt skill search "deployment"            # search registry

belt skill store --featured               # browse featured

# use on-demand (no install, stdout)

belt skill use namespace/skill-name       # from store

belt skill use github.com/user/repo       # from github

belt skill use user/repo --skill name     # pick from multi-skill repo

# install persistently

belt skill add namespace/skill-name       # auto-detects agents

belt skill add ns/name --agent claude-code

belt skill list                           # list installed

belt skill upload ./my-skill              # publish

connectors — mcp servers

belt mcp list                             # available connectors

belt mcp search "slack"                   # search

belt mcp connect slack                    # connect

belt mcp tools slack                      # list tools

belt mcp run slack send_message --input '{"channel": "#general", "text": "hello"}'

suggest — unified search

belt suggest "how to generate images"     # searches apps + skills + knowledge

tips

use --json for structured output when piping

use --save filename to save media outputs directly

belt app sample generates valid input — start there for unfamiliar apps

belt update to get latest version