Agent skill · Backend & API

llm-models

Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill llm-models --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 4 KB
Bundled scripts: none
Allowed tools: Bash(infsh*)
Path: skills/ai-llm/llm-models/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LLM Models via OpenRouter Access 100+ language models via [inference.sh](https://inference.sh) CLI. ![LLM Models via OpenRouter](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kgvftjwhby36trvaj66bwzcf.jpeg) ## Quick Start > Requires inference.sh CLI (`infsh`). Get installation instructions: `npx skills add inference-sh/skills@agent-tools` ```bash infsh login # Call Claude Sonnet infsh 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 infsh app list --search "openrouter"

What's inside
Steps it walks through
  1. Quick Start
  2. Available Models
  3. Search LLM Apps
  4. Examples
  5. Claude Opus (Best Quality)
  6. Claude Sonnet (Balanced)
  7. Claude Haiku (Fast & Cheap)
  8. Kimi K2 (Thinking Agent)
  9. Any Model (Auto-Select)
  10. With System Prompt
  11. Use Cases
  12. Related Skills
  13. Documentation
Ships with 1 file
  • metadata.json
Commands it runs
infsh login
Call Claude Sonnet
infsh app run openrouter/claude-sonnet-45 --input '{"prompt": "Explain quantum computing"}'
infsh app list --search "openrouter"
infsh app list --search "claude"
infsh app run openrouter/claude-opus-45 --input '{
infsh app run openrouter/claude-sonnet-45 --input '{
infsh app run openrouter/claude-haiku-45 --input '{
infsh app run openrouter/kimi-k2-thinking --input '{
Automatically picks the most cost-effective model
More from claude-skill-registry
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About this skill
What does the llm-models skill do?

Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill llm-models --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going