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    neversight

    llm

    neversight/llm
    AI & ML
    2

    About

    SKILL.md

    Install

    Install via Skills CLI

    or add to your agent
    • Claude Code
      Claude Code
    • Codex
      Codex
    • OpenClaw
      OpenClaw
    • Cursor
      Cursor
    • Amp
      Amp
    • GitHub Copilot
      GitHub Copilot
    • Gemini CLI
      Gemini CLI
    • Kilo Code
      Kilo Code
    • Junie
      Junie
    • Replit
      Replit
    • Windsurf
      Windsurf
    • Cline
      Cline
    • Continue
      Continue
    • OpenCode
      OpenCode
    • OpenHands
      OpenHands
    • Roo Code
      Roo Code
    • Augment
      Augment
    • Goose
      Goose
    • Trae
      Trae
    • Zencoder
      Zencoder
    • Antigravity
      Antigravity
    ├─
    ├─
    └─

    About

    Access and interact with Large Language Models from the command line using Simon Willison's llm CLI tool. Supports OpenAI, Anthropic, Gemini, Llama, and dozens of other models via plugins...

    SKILL.md

    LLM CLI Tool Skill

    A CLI tool and Python library for interacting with Large Language Models including OpenAI, Anthropic's Claude, Google's Gemini, Meta's Llama, and dozens of others via remote APIs or locally installed models.

    When to Use This Skill

    Use this skill when:

    • Running prompts against LLMs from the command line
    • Managing conversations and chat sessions
    • Working with embeddings for semantic search
    • Extracting structured data using schemas
    • Installing and configuring LLM plugins
    • Managing API keys for various providers
    • Using templates for reusable prompts
    • Logging and analyzing LLM interactions

    Quick Reference

    Basic Commands

    # Run a prompt
    llm "Your prompt here"
    
    # Use a specific model
    llm -m claude-4-opus "Your prompt"
    
    # Chat mode
    llm chat -m gpt-4.1
    
    # With attachments (images, audio, video)
    llm "describe this" -a image.jpg
    
    # Pipe content
    cat file.py | llm -s "Explain this code"
    

    Key Management

    llm keys set openai
    llm keys set anthropic
    llm keys set gemini
    

    Plugin Management

    llm install llm-anthropic
    llm install llm-gemini
    llm install llm-ollama
    llm plugins
    

    Documentation Index

    Core Documentation

    • README.md - Project overview and quick start guide
    • docs/setup.md - Installation and initial configuration
    • docs/usage.md - Comprehensive CLI usage guide (prompts, chat, attachments, conversations)
    • docs/help.md - Complete command reference and help text

    Model Configuration

    • docs/openai-models.md - OpenAI model configuration and features
    • docs/other-models.md - Configuration for other model providers

    Advanced Features

    • docs/tools.md - Tool use and function calling with LLMs
    • docs/schemas.md - Structured data extraction from text and images
    • docs/templates.md - Creating and using prompt templates
    • docs/fragments.md - Long context support using fragments
    • docs/aliases.md - Creating model aliases

    Embeddings

    • docs/embeddings/index.md - Embeddings overview
    • docs/embeddings/cli.md - Embeddings CLI commands
    • docs/embeddings/python-api.md - Embeddings Python API
    • docs/embeddings/storage.md - Embeddings storage system
    • docs/embeddings/writing-plugins.md - Writing embedding plugins

    Plugins

    • docs/plugins/index.md - Plugin system overview
    • docs/plugins/installing-plugins.md - Installing and managing plugins
    • docs/plugins/directory.md - Plugin directory listing
    • docs/plugins/tutorial-model-plugin.md - Tutorial: Creating a model plugin
    • docs/plugins/advanced-model-plugins.md - Advanced plugin development
    • docs/plugins/plugin-hooks.md - Plugin hooks reference
    • docs/plugins/plugin-utilities.md - Plugin utility functions

    Python API & Development

    • docs/python-api.md - Python library API reference
    • docs/logging.md - Logging system and SQLite storage
    • docs/contributing.md - Contributing to LLM development

    Reference

    • docs/related-tools.md - Related tools and ecosystem
    • docs/changelog.md - Version history and changes

    Common Workflows

    Starting a Conversation

    # Start chat with context
    llm chat -m gpt-4.1 -s "You are a helpful coding assistant"
    
    # Continue a previous conversation
    llm -c "Follow up question"
    

    Working with Files

    # Analyze code
    cat script.py | llm "Review this code for bugs"
    
    # Process multiple files
    cat *.md | llm "Summarize these documents"
    

    Structured Output

    # Extract data with schema
    llm -m gpt-4.1 "Extract person info" -a photo.jpg --schema name,age,occupation
    

    Template Usage

    # List templates
    llm templates
    
    # Use a template
    llm -t summarize < article.txt
    
    Recommended Servers
    Parallel Web Search
    Parallel Web Search
    LILT
    LILT
    Browser tool
    Browser tool
    Repository
    neversight/skills_feed