ftnext

LLM Claude Code — AI skill for Claude Code

AI community

PyPI.

How to install LLM Claude Code

This entry records only its repository, not the path inside it, so there is no exact command to give. Open ftnext/llm-claude-code and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What LLM Claude Code does

PyPI.

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README

llm-claude-code

[![PyPI](https://img.shields.io/pypi/v/llm-claude-code.svg)](https://pypi.org/project/llm-claude-code/) [![Changelog](https://img.shields.io/github/v/release/ftnext/llm-claude-code?include_prereleases&label=changelog)](https://github.com/ftnext/llm-claude-code/releases) [![Tests](https://github.com/ftnext/llm-claude-code/actions/workflows/test.yml/badge.svg)](https://github.com/ftnext/llm-claude-code/actions/workflows/test.yml) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/ftnext/llm-claude-code/blob/main/LICENSE)

LLM plugin for Claude Code SDK integration

Overview

`llm-claude-code` is a plugin for [Simon Willison's LLM tool](https://llm.datasette.io/) that enables you to use Claude Code through the LLM command-line interface. This plugin leverages the Claude Code CLI to provide AI assistance with coding tasks.

Prerequisites

Before using this plugin, ensure you have:

Claude Code CLI installed: Install with npm install -g @anthropic-ai/claude-code
Node.js: Required for Claude Code CLI
Anthropic API Key configured: Set up through environment variables or Claude Code settings
Python 3.10 or higher

To install Claude Code, visit the [official documentation](https://docs.anthropic.com/en/docs/claude-code).

Installation

Install this plugin in the same environment as [LLM](https://llm.datasette.io/):

llm install llm-claude-code

Usage

Basic Usage

Use the `claude-code` model with the LLM command:

# Basic usage
llm -m claude-code "Write a Python function to calculate fibonacci numbers"

# Using the alias 'cc'
llm -m cc "Create a hello world script"

Features

Streaming Support: Real-time output display during generation
Color-coded Output: Different message types are displayed with distinct colors:
- Tool messages: Blue
- Error messages: Red
- Success messages: Green
- Regular messages: Default color
**Erro