Como usar
- Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
- Consulte no original as ferramentas, credenciais e ambientes necessários.
- Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/101-skills/superpowers --skill llm-modelsAntes de começar
- A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
- Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill
Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.
Install the belt CLI skill: npx skills add belt-sh/cliLLM Models via OpenRouter
Access 100+ language models via inference.sh CLI.
Quick Start
Requires inference.sh CLI (belt). Install instructionsbash
belt login
# Call Claude Sonnet
belt app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'Available Models
| Model | App ID | Best For |
|---|---|---|
| Claude Opus 4.5 | openrouter/claude-opus-45 | Complex reasoning, coding |
| Claude Sonnet 4.5 | openrouter/claude-sonnet-45 | Balanced performance |
| Claude Haiku 4.5 | openrouter/claude-haiku-45 | Fast, economical |
| Gemini 3 Pro | openrouter/gemini-3-pro-preview | Google's latest |
| Kimi K2 Thinking | openrouter/kimi-k2-thinking | Multi-step reasoning |
| GLM-4.6 | openrouter/glm-46 | Open-source, coding |
| Intellect 3 | openrouter/intellect-3 | General purpose |
| Any Model | openrouter/any-model | Auto-selects best option |
Search LLM Apps
bash
belt app search "openrouter"
belt app search "claude"Examples
Claude Opus (Best Quality)
bash
belt app run openrouter/claude-opus-45 --input '{
"prompt": "Write a Python function to detect palindromes with comprehensive tests"
}'Claude Sonnet (Balanced)
bash
belt app run openrouter/claude-sonnet-45 --input '{
"prompt": "Summarize the key concepts of machine learning"
}'Claude Haiku (Fast & Cheap)
bash
belt app run openrouter/claude-haiku-45 --input '{
"prompt": "Translate this to French: Hello, how are you?"
}'Kimi K2 (Thinking Agent)
bash
belt app run openrouter/kimi-k2-thinking --input '{
"prompt": "Plan a step-by-step approach to build a web scraper"
}'Any Model (Auto-Select)
bash
# Automatically picks the most cost-effective model
belt app run openrouter/any-model --input '{
"prompt": "What is the capital of France?"
}'With System Prompt
bash
belt app sample openrouter/claude-sonnet-45 --save input.json
# Edit input.json:
# {
# "system": "You are a helpful coding assistant",
# "prompt": "How do I read a file in Python?"
# }
belt app run openrouter/claude-sonnet-45 --input input.jsonUse Cases
- Coding: Generate, review, debug code
- Writing: Content, summaries, translations
- Analysis: Data interpretation, research
- Agents: Build AI-powered workflows
- Chat: Conversational interfaces
Related Skills
bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
# Web search (combine with LLMs for RAG)
npx skills add inference-sh/skills@web-search
# Image generation
npx skills add inference-sh/skills@ai-image-generation
# Video generation
npx skills add inference-sh/skills@ai-video-generationBrowse all apps: belt app list
Documentation
- Agents Overview - Building AI agents
- Agent SDK - Programmatic agent control
- Building a Research Agent - LLM + search integration guide
