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A CLI toolkit to generate comprehensive project context for LLMs.

Project description

ContextCraft

CI Coverage Python License Code style: Ruff

A powerful CLI toolkit to generate comprehensive project context for Large Language Models (LLMs).

ContextCraft transforms your codebase into well-structured, LLM-friendly documentation by intelligently aggregating directory trees, code files, dependencies, and Git context into clean, consumable formats. It's like a translator between your repo and the digital mind you just hired to read it.

Transform your entire codebase into AI-ready context with one command. No more copy-paste nightmares. No more explaining your project structure. Just instant, comprehensive context that LLMs actually understand.

✨ Features

🌳 Smart Directory Trees

  • Beautiful, hierarchical project structure visualization
  • Rich console output with emojis and colors
  • Intelligent filtering with .llmignore support
  • Clean file output for documentation

📄 Code Flattening

  • Concatenate multiple files into organized documents
  • Clear file markers and intelligent content handling
  • Support for include/exclude patterns
  • Binary file detection and graceful handling

📦 Dependency Analysis

  • Multi-language dependency extraction (Python, Node.js)
  • Support for Poetry, pip, npm, and yarn
  • Clean Markdown output with language grouping
  • Extensible architecture for additional languages

🔄 Git Context

  • Current branch and status information
  • Recent commit history with configurable depth
  • Diff analysis for understanding changes
  • Graceful handling of non-Git repositories

📋 Context Bundling

  • Aggregate multiple tools into comprehensive bundles
  • Configurable section inclusion/exclusion
  • Well-structured Markdown with navigation
  • Perfect for LLM consumption

📋 Clipboard Integration

  • Copy output directly to clipboard with --to-clipboard or -c
  • Available for all commands (tree, flatten, deps, git-info, bundle)
  • Smart behavior: only works when no output file specified
  • Cross-platform support with graceful error handling

🎯 Intelligent Filtering

  • .llmignore files with .gitignore-style syntax
  • Configurable global patterns via pyproject.toml
  • Smart precedence hierarchy
  • Tool-specific fallback exclusions

🚀 Quick Start

Installation

# Install from PyPI (coming soon)
pip install contextcraft

# Or install from source
git clone https://github.com/Shorzinator/ContextCraft.git
cd ContextCraft
poetry install

Basic Usage

# Generate a directory tree
contextcraft tree

# Save tree to file
contextcraft tree -o project_structure.txt

# Copy tree to clipboard
contextcraft tree --to-clipboard

# Flatten code files
contextcraft flatten src/ -o flattened_code.md

# Copy flattened code to clipboard
contextcraft flatten src/ -c

# Analyze dependencies
contextcraft deps

# Get Git context
contextcraft git-info

# Create a comprehensive bundle
contextcraft bundle -o project_context.md

# Copy bundle to clipboard
contextcraft bundle --to-clipboard

Configuration

Create a .llmignore file to exclude files and directories:

# .llmignore
*.log
__pycache__/
node_modules/
.env
build/
dist/

Configure defaults in pyproject.toml:

[tool.contextcraft]
default_output_filename_tree = "project_tree.txt"
default_output_filename_flatten = "flattened_code.md"
default_output_filename_deps = "dependencies.md"
default_output_filename_git_info = "git_context.md"
default_output_filename_bundle = "project_bundle.md"

global_exclude_patterns = [
    "*.tmp",
    "temp/",
    ".cache/"
]

📖 Documentation

🌐 Live Documentation Website

Comprehensive documentation including:

🛠️ Development

Prerequisites

  • Python 3.9+
  • Poetry
  • Git

Setup

# Clone the repository
git clone https://github.com/Shorzinator/ContextCraft.git
cd ContextCraft

# Install dependencies
poetry install --with dev

# Install pre-commit hooks
poetry run pre-commit install

# Run tests
poetry run pytest

# Run with coverage
poetry run pytest --cov=src/contextcraft --cov-report=html

Code Quality

We maintain high code quality standards. Some say it's obsessive. We say it's... necessary:

  • Linting: Ruff for fast Python linting (not a dog, but still keeps your repo clean)
  • Formatting: Ruff formatter for consistent code style
  • Security: Bandit for security vulnerability scanning
  • Testing: Pytest with 77%+ coverage (because 100% would be... suspicious)
  • Commits: Conventional Commits for clear history and less git shame

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details on:

  • Reporting bugs and requesting features
  • Development setup and workflow
  • Code standards and testing
  • Pull request process

📄 License

This project is licensed under the MIT License - see the LICENSE file for details. (TL;DR: Use it, don’t sue us.)

🙏 Acknowledgments

  • Built with Typer for the CLI framework
  • Styled with Rich for beautiful terminal output
  • Powered by Poetry for dependency management
  • Quality assured with Ruff and Pytest

📊 Project Status

ContextCraft is actively developed and maintained. Current status:

  • Core Tools: All primary tools implemented and tested
  • CLI Interface: Complete command-line interface
  • Documentation: Comprehensive docs with examples
  • Testing: 175+ tests with 77% coverage
  • CI/CD: Automated testing and quality checks
  • 🚀 V1.0: Feature-complete and production-ready

📖 Documentation🐛 Issues💬 Discussions

Made with ❤️ for the developer community

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