llm
Multi-provider LLM integration. Unified interface for OpenAI, Anthropic, Google, and local models.
npx skills add majiayu000/claude-skill-registry --skill llm --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 🔮 Multi-provider Large Language Model integration. ## Supported Providers - OpenAI (GPT-4, GPT-4o) - Anthropic (Claude) - Google (Gemini) - Local models (Ollama, LM Studio) ## Features - Unified chat interface - Model comparison - Token counting - Cost estimation - Streaming responses ## Usage Examples ``` "Compare GPT-4 vs Claude on this task" "Use local Llama model" "Estimate tokens for this prompt" ```
- Supported Providers
- Features
- Usage Examples
What does the llm skill do?
Multi-provider LLM integration. Unified interface for OpenAI, Anthropic, Google, and local models.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llm --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.