Access OpenAI, Anthropic, Google Gemini, and Ollama through a unified command-line interface.
npx skills add https://github.com/glebis/claude-skills --skill llm-cli-glebis
Please help me install this Agent Skill. Skill: llm-cli Source: https://github.com/glebis/claude-skills/tree/main/llm-cli Command: npx skills add https://github.com/glebis/claude-skills --skill llm-cli-glebis
The LLM CLI Skill unifies access to OpenAI, Anthropic, Google Gemini, Ollama, and other models through a single command-line interface, simplifying cross-provider experimentation and deployment.
Install the llm CLI, run /llm --setup to detect providers, and start processing text with your chosen model.
High-intent search queries and answers about installing and using this skill.
You can interact with multiple LLM providers by using a unified command-line interface that supports OpenAI, Anthropic, Google Gemini, and Ollama. It handles provider detection automatically, allowing you to seamlessly query different models from one terminal session.
Yes, you can run LLM queries non-interactively from the command line. The interface supports both non-interactive and interactive workflows, allowing you to pipe multi-format input directly into your chosen model for automated processing.
The multi-provider CLI remembers your last-used model across sessions through persistent configuration. It stores available providers and your model selection locally, ensuring your environment remains configured without needing repeated setup.
To setup and detect available LLM providers, you run the setup command to automatically identify installed models. This initialization process configures your environment and prepares intelligent model selection for immediate text processing.
The best way to switch between local Ollama models and cloud providers is using a unified CLI with model aliasing. It allows you to easily select and switch between local and remote models within an interactive session.
Yes, you can integrate slash commands into your LLM command-line workflows. The interface offers open integration points for slash-command support and Claude Code integration, streamlining your interactive text processing.
rauell1Configure Vercel AI Gateway routing, failover, and cost controls with OIDC authentication.
lrhodinPipe arbitrary text through an LLM to generate concise responses.
rickyanandaDelegate coding tasks to Claude Code CLI via print mode or tmux sessions.
xtekkyAccess multiple AI providers and models through a unified interface.
