Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/101-skills/superpowers --skill llm-modelsAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
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 instructionsbelt 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
belt app search "openrouter"
belt app search "claude"Examples
Claude Opus (Best Quality)
belt app run openrouter/claude-opus-45 --input '{
"prompt": "Write a Python function to detect palindromes with comprehensive tests"
}'Claude Sonnet (Balanced)
belt app run openrouter/claude-sonnet-45 --input '{
"prompt": "Summarize the key concepts of machine learning"
}'Claude Haiku (Fast & Cheap)
belt app run openrouter/claude-haiku-45 --input '{
"prompt": "Translate this to French: Hello, how are you?"
}'Kimi K2 (Thinking Agent)
belt app run openrouter/kimi-k2-thinking --input '{
"prompt": "Plan a step-by-step approach to build a web scraper"
}'Any Model (Auto-Select)
# Automatically picks the most cost-effective model
belt app run openrouter/any-model --input '{
"prompt": "What is the capital of France?"
}'With System Prompt
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
# 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



