llm-router
This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepSeek, OpenRouter) using SwiftOpenAI-CLI. Use this skill when users ask to "use grok", "ask grok", "use groq", "ask deepseek", or any similar request to query a specific LLM provider in agent mode.
npx skills add majiayu000/claude-skill-registry --skill llm-router --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LLM Router ## Overview Route AI requests to different LLM providers using SwiftOpenAI-CLI's agent mode. This skill automatically configures the CLI to use the requested provider (OpenAI, Grok, Groq, DeepSeek, or OpenRouter), ensures the tool is installed and up-to-date, and executes one-shot agentic tasks. ## Core Workflow When a user requests to use a specific LLM provider (e.g., "use grok to explain quantum computing"), follow this workflow: ### Step 1: Ensure SwiftOpenAI-CLI is Ready Check if SwiftOpenAI-CLI is installed and up-to-date: ```bash scripts/check_install_cli.sh ``` This script will: - Check if `swiftopenai` is installed - Verify the version (minimum 1.4.4) - Install or update if necessary - Report the current installation status ### Step 2: Configure the Provider Based on the user's request, identify the target provider and configure SwiftOpenAI-CLI: ```bash scripts/configure_provider.sh <provider> [model] ``` **Supported providers:** - `openai` - OpenAI (GPT-4, GPT-5, etc.) - `grok` - xAI Grok models - `groq` - Groq (Llama, Mixtral, etc.) - `deepseek` - DeepSeek models - `openrouter` - OpenRouter (300+ models) **Examples:** ```bash # Configure for Grok scripts/con
- Overview
- Core Workflow
- Step 1: Ensure SwiftOpenAI-CLI is Ready
- Step 2: Configure the Provider
- Step 3: Verify API Key
- Step 4: Execute the Agentic Task
- Usage Patterns
- Pattern 1: Simple Provider Routing
- Pattern 2: Specific Model Selection
- Pattern 3: Fast Inference with Groq
- Pattern 4: Access Multiple Models via OpenRouter
- Provider-Specific Considerations
- OpenAI (GPT-5 Models)
- Grok (xAI)
scripts/check_install_cli.sh scripts/configure_provider.sh <provider> [model] Configure for Grok scripts/configure_provider.sh grok grok-4-0709 Configure for Groq with Llama scripts/configure_provider.sh groq llama-3.3-70b-versatile Configure for DeepSeek Reasoner scripts/configure_provider.sh deepseek deepseek-reasoner Configure for OpenAI GPT-5 scripts/configure_provider.sh openai gpt-5
What does the llm-router skill do?
This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepSeek, OpenRouter) using SwiftOpenAI-CLI. Use this skill when users ask to "use grok", "ask grok", "use groq", "ask deepseek", or any similar request to query a specific LLM provider in agent mode.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llm-router --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.