About llm-models
llm-models is a skill for calling language models through OpenRouter with the inference.sh CLI. It is for users applying LLMs to coding, writing, analysis, and agent workflows, and lists model options alongside an app that selects a model automatically.
Key features
- 01Call multiple language models through the CLI
- 02List models and their app IDs
- 03Search model apps by name
- 04Use an app that selects a model automatically
- 05Pass a system prompt
Use cases
- 01Generate, review, or debug code
- 02Write content, summaries, and translations
- 03Analyze data or conduct research
- 04Add LLMs to agent workflows
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ inference-sh/ skills --skill llm-modelsAfter installing, type/llm-modelsin Claude Code to confirm it loaded.
Details
From the project READMEInstall the belt CLI skill:
npx skills add belt-sh/cli
LLM Models via OpenRouter
Access 100+ language models via inference.sh CLI.

Quick Start
Requires inference.sh CLI (
belt). Install instructions
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
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.json
Use 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-generation
Browse all apps: belt app list
Documentation
- Agents Overview - Building AI agents
- Agent SDK - Programmatic agent control
- Building a Research Agent - LLM + search integration guide
Comments
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