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Use the belt CLI — run 250+ AI apps, manage knowledge, search skills, connect MCP servers
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Run 250+ AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
Audit websites for SEO, performance, security, technical, content, and 16 other issue categories with 249+ rules using the squirrelscan CLI. Returns LLM-optimized reports with health scores, broken links, meta tag analysis, and actionable recommendations. Use to discover and asses website or webapp issues and health.
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work.
PREREQUISITE TO ART OF CHOKE. Enforces that the entire CI pipeline runs start-to-finish before any push or deploy. No skipped phases, no soft failures, no 'works on my machine.' Before a single line ships, the full chain must execute and pass in a production-like environment.
UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.
Use this skill when designing, auditing, or extending an agent ecosystem: agent roles, skills, MCP servers, tool boundaries, memory conventions, repo automation, handoff protocols, safety checks, and multi-agent workflows. Trigger when the user asks how agents should collaborate, what skills to add, how to wire MCP tools, or how to structure agent operating procedures.
| name | belt |
| description | Use the belt CLI — run 250+ AI apps, manage knowledge, search skills, connect MCP servers |
| allowed-tools | Bash(belt *) |
belt is the cloud platform cli for ai agents. single ~4mb binary, no runtime dependencies.
first check if belt is already installed:
which belt && belt --version
if not installed, download the installer and run it:
curl -fsSL https://cli.inference.sh -o /tmp/belt-install.sh && sh /tmp/belt-install.sh
then authenticate:
belt login
belt me
belt app search "image" # find apps
belt app get openai/gpt-image-2 # view schema
belt app sample openai/gpt-image-2 --save in.json # generate sample input
belt app run openai/gpt-image-2 --input in.json # run it
belt app run openai/gpt-image-2 --input '{"prompt": "..."}' --save output.png
common apps:
openai/gpt-image-2, reve/create, pruna/p-imagepruna/p-image-upscale, pruna/p-image-editgoogle/veo-2, seedance/seedance-2-i2vtavily/search, exa/searchelevenlabs/ttsbelt 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
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
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"}'
belt suggest "how to generate images" # searches apps + skills + knowledge
--json for structured output when piping--save filename to save media outputs directlybelt app sample generates valid input — start there for unfamiliar appsbelt update to get latest version