Consolidate access to multiple LLM providers via the llm CLI.
npx skills add https://github.com/KISHOR403/claude-skills --skill llm-cli-kishor403
Please help me install this Agent Skill. Skill: llm-cli Source: https://github.com/KISHOR403/claude-skills/tree/main/llm-cli Command: npx skills add https://github.com/KISHOR403/claude-skills --skill llm-cli-kishor403
The LLM CLI Skill unifies access to multiple LLM providers (OpenAI, Anthropic, Google Gemini, Ollama) through a single command interface, enabling seamless processing of text and multimedia inputs.
Install the llm CLI, run /llm --setup to detect providers, then start processing text or files with a chosen model.
High-intent search queries and answers about installing and using this skill.
A single CLI can process files with multiple LLM providers by consolidating access to OpenAI, Anthropic, Google Gemini, and Ollama. It detects providers via environment keys and handles 25+ file types including text, code, PDFs, and media.
You can run interactive chats and non-interactive prompts with different LLM models using the execution engine. It supports model selection with aliases and maintains a persistent JSON config to remember your last-used model choices.
Before processing multimedia inputs, you need to install the llm CLI and run the setup command to detect providers from your environment keys. This configures provider mappings and prepares the system for text and file-input handling.
Provider detection works by checking for specific environment keys when you run the setup command. It automatically identifies available LLM providers and registers them in a persistent configuration for seamless command-line access.
The llm CLI supports processing PDFs and code files alongside text and media. It handles 25+ file formats through flexible input handling, accepting data from stdin, files, or inline sources for multimodal processing.
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